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Name: Adrian Peter Title: Associate professor of mathematics and systems engineering and electrical engineering and computer science (joint appointment); director, Center for Advanced Data Analytics and Systems (CADAS) Department/College: Department of Mathematics and Systems Engineering and Department of Electrical Engineering and Computer Science/College of Engineering and Science Current research funding: $2.19 million General research focus: Our Multi-domain, Multi-sensor, Cyber-physical Tactical Exploitation (M2CTE) project addresses a critical need for a robust analytic processing framework capable of supporting autonomous sensing and analytics on the edge – where devices and sensors collect data – with the ability to reach back to the cloud for more improvement. Adrian Peter's research interests are in applying advanced analytics (e.g. machine learning, statistical modeling, optimization and visualization) to solve large-scale computing problems across a variety of domain areas (signal processing, geospatial, environmental, sensor fusion and enterprise intelligence). Q: What has you excited about your current research? We have built our entire infrastructure with the immensely talented graduate and undergraduate students at Florida Tech. Their tireless efforts have led to us delivering practical and operational real-world, machine-learning solutions that make us among the global leaders in machine learning at the edge. Q: Why is it important to conduct research? The objective of all research is to advance the frontiers of knowledge in a specific discipline. In my research, we are continually pushing state-of-the-art distributed sensing and edge analytics. Our results have helped transition conceptual ideas and customer requirements into operational solutions that improve situational awareness at tactical edge. Adrian Peter is available to speak with media. Contact Adam Lowenstein, Director of Media Communications at Florida Institute of Technology, at adam@fit.edu to arrange an interview today.
With Rise in US Autism Rates, Florida Tech Expert Clarifies What We Know About the Disorder
A new report from the Centers for Disease Control and Prevention (CDC) found that an estimated 1 in 31 U.S. children has autism; that's about a 15% increase from a 2020 report, which estimated 1 in 36. The latest numbers come from the CDC’s Autism and Developmental Disabilities Monitoring (ADDM) Network, which tracked diagnoses in 2022 among 8-year-old children. Autism spectrum disorder (ASD) is a neurological disorder that refers to a broad range of conditions affecting social interaction. People with autism may experience challenges with social skills, repetitive behaviors, speech and nonverbal communication. The news has experts like Florida Tech's Kimberly Sloman, Ph.D, weighing in on the matter. She noted that the definition of autism was expanded to include mild cases, which could explain the increase. “Research shows that increased rates are largely due to increased awareness and changes to diagnostic criteria. Much of the increase reflects individuals who have fewer support needs, women and girls and others who may have been misdiagnosed previously," said Sloman. Her insight follows federal health secretary Robert F. Kennedy Jr.'s recent declaration, vowing to conduct further studies to identify environmental factors that could cause the disorder. In his remarks, he also miscategorized autism as a "preventable disease," prompting scrutiny from experts and media attention. “Autism destroys families,” Kennedy said. “More importantly, it destroys our greatest resource, which is our children. These are children who should not be suffering like this.” Kennedy described autism as a “preventable disease,” although researchers and scientists have identified genetic factors that are associated with it. Autism is not considered a disease, but a complex disorder that affects the brain. Cases range widely in severity, with symptoms that can include delays in language, learning, and social or emotional skills. Some autistic traits can go unnoticed well into adulthood. Those who have spent decades researching autism have found no single cause. Besides genetics, scientists have identified various possible factors, including the age of a child’s father, the mother’s weight, and whether she had diabetes or was exposed to certain chemicals. Kennedy said his wide-ranging plan to determine the cause of autism will look at all of those environmental factors, and others. He had previously set a September deadline for determining what causes autism, but said Wednesday that by then, his department will determine at least “some” of the answers. The effort will involve issuing grants to universities and researchers, Kennedy said. He said the researchers will be encouraged to “follow the science, no matter what it says.” April 17 - Associated Press Sloman emphasized that experts are confident that autism has a strong genetic component, meaning there's an element of the disorder that may not be preventable. However, scientists are still working to understand the full scope of the disorder, and much is still unknown. “We know that there’s a strong genetic component for autism, but environmental factors may interact with genetic susceptibility," Sloman said. "This is still not well understood.” Kimberly Sloman’s research interests include best practices for treating individuals with autism spectrum disorder (ASD). She studies the assessment and treatment of problem behavior with methods such as stereotypy, individualized skill assessments and generalization of treatment effects. Are you covering this story or looking to know more about autism and the research behind the disorder? Let us help. Kimberly is available to speak with media about this subject. Simply click on her icon now to arrange an interview today.
Chemical and Life Science Engineering Professor Michael “Pete” Peters, Ph.D., is investigating more efficient ways to manufacture biologic pharmaceuticals using a radial flow bioreactor he developed. With applications in vaccines and other personalized therapeutic treatments, biologics are versatile. Their genetic base can be manipulated to create a variety of effects from fighting infections by stimulating an immune response to weight loss by producing a specific hormone in the body. Ozempic, Wegovy and Victoza are some of the brand names for Glucagon-Like Peptide-1 (GLP-1) receptor agonists used to treat diabetes. These drugs mimic the GLP-1 peptide, a hormone naturally produced in the body that regulates appetite, hunger and blood sugar. “I have a lot of experience with helical peptides like GLP-1 from my work with COVID therapeutics,” says Peters. “When it was discovered that these biologic pharmaceuticals can help with weight loss, demand spiked. These drug types were designed for people with type-2 diabetes and those diabetic patients couldn’t get their GLP-1 treatments. We wanted to find a way for manufacturers to scale up production to meet demand, especially now that further study of GLP-1 has revealed other applications for the drug, like smoking cessation.” Continuous Manufacturing of Biologic Pharmaceuticals Pharmaceuticals come in two basic forms: small-molecule and biologic. Small-molecule medicines are synthetically produced via chemical reactions while biologics are produced from microorganisms. Both types of medications are traditionally produced in a batch process, where base materials are fed into a staged system that produces “batches” of the small-molecule or biologic medication. This process is similar to a chef baking a single cake. Once these materials are exhausted, the batch is complete and the entire system needs to be reset before the next batch begins. “ The batch process can be cumbersome,” says Peters. “Shutting the whole process down and starting it up costs time and money. And if you want a second batch, you have to go through the entire process again after sterilization. Scaling the manufacturing process up is another problem because doubling the system size doesn’t equate to doubling the product. In engineering, that’s called nonlinear phenomena.” Continuous manufacturing improves efficiency and scalability by creating a system where production is ongoing over time rather than staged. These manufacturing techniques can lead to “end-to-end” continuous manufacturing, which is ideal for producing high-demand biologic pharmaceuticals like Ozempic, Wegovy and Victoza. Virginia Commonwealth University’s Medicines for All Institute is also focused on these production innovations. Peters’ continuous manufacturing system for biologics is called a radial flow bioreactor. A disk containing the microorganisms used for production sits on a fixture with a tube coming up through the center of the disk. As the transport fluid comes up the tube, the laminar flow created by its exiting the tube spreads it evenly and continuously over the disk. The interaction between the transport medium coming up the tube and the microorganisms on the disk creates the biological pharmaceutical, which is then taken away by the flow of the transport medium for continuous collection. Flowing the transport medium liquid over a disc coated with biologic-producing microorganisms allows the radial flow bioreactor to continuously produce biologic pharmaceuticals. “There are many advantages to a radial flow bioreactor,” says Peters. “It takes minutes to switch out the disk with the biologic-producing microorganisms. While continuously producing your biologic pharmaceutical, a manufacturer could have another disk in an incubator. Once the microorganisms in the incubator have grown to completely cover the disk, flow of the transport medium liquid to the radial flow bioreactor is shut off. The disk is replaced and then the transport medium flow resumes. That’s minutes for a production changeover instead of the many hours it takes to reset a system in the batch flow process.” The Building Blocks of Biologic Pharmaceuticals Biologic pharmaceuticals are natural molecules created by genetically manipulating microorganisms, like bacteria or mammalian cells. The technology involves designing and inserting a DNA plasmid that carries genetic instructions to the cells. This genetic code is a nucleotide sequence used by the cell to create proteins capable of performing a diverse range of functions within the body. Like musical notes, each nucleotide represents specific genetic information. The arrangement of these sequences, like notes in a song, changes what the cell is instructed to do. In the same way notes can be arranged to create different musical compositions, nucleotide sequences can completely alter a cell’s behavior. Microorganisms transcribe the inserted DNA into a much smaller, mRNA coded molecule. Then the mRNA molecule has its nucleotide code translated into a chain of amino acids, forming a polypeptide that eventually folds into a protein that can act within the body. “One of the disadvantages of biologic design is the wide range of molecular conformations biological molecules can adopt,” says Peters. “Small-molecule medications, on the other hand, are typically more rigid, but difficult to design via first-principle engineering methods. A lot of my focus has been on helical peptides, like GLP-1, that are a programmable biologic pharmaceutical designed from first principles and have the stability of a small-molecule.” The stability Peters describes comes from the helical peptide’s structure, an alpha helix where the amino acid chain coils into a spiral that twists clockwise. Hydrogen bonds that occur between the peptide’s backbone creates a repeating pattern that pulls the helix tightly together to resist conformational changes. “It’s why we used it in our COVID therapeutic and makes it an excellent candidate for GLP-1 continuous production because of its relative stability,” says Peters. Programming The Cell Chemical and Life Science Engineering Assistant Professor Leah Spangler, Ph.D., is an expert at instructing cells to make specific things. Her material science background employs proteins to build or manipulate products not found in nature, like purifying rare-earth elements for use in electronics. “My lab’s function is to make proteins every day,” says Spangler. “The kind of proteins we make depends entirely on the project they are for. More specifically I use proteins to make things that don’t occur in nature. The reason proteins don’t build things like solar cells or the quantum dots used in LCD TVs is because nature is not going to evolve a solar cell or a display surface. Nature doesn’t know what either of those things are. However, proteins can be instructed to build these items, if we code them to.” Spangler is collaborating with Peters in the development of his radial flow bioreactor, specifically to engineer a microorganismal bacteria cell capable of continuously producing biologic pharmaceuticals. “We build proteins by leveraging bacteria to make them for us,” says Spangler. “It’s a well known technology. For this project, we’re hypothesizing that Escherichia coli (E. coli) can be modified to make GLP-1. Personally, I like working with E. coli because it’s a simple bacteria that has been thoroughly studied, so there’s lots of tools available for working with it compared to other cell types.” Development of the process and technique to use E. coli with the radial flow bioreactor is ongoing. “Working with Dr. Spangler has been a game changer for me,” says Peters. “She came to the College of Engineering with a background in protein engineering and an expertise with bacteria. Most of my work was in mammalian cells, so it’s been a great collaboration. We’ve been able to work together and develop this bioreactor to produce GLP-1.” Other Radial Flow Bioreactor Applications Similar to how the GLP-1 peptide has found applications beyond diabetes treatment, the radial flow bioreactor can also be used in different roles. Peters is currently exploring the reactor’s viability for harnessing solar energy. “One of the things we’ve done with the internal disc is to use it as a solar panel,” says Peters. “The disk can be a black body that absorbs light and gets warm. If you run water through the system, water also absorbs the radiation’s energy. The radial flow pattern automatically optimizes energy driving forces with fluid residence time. That makes for a very effective solar heating system. This heating system is a simple proof of concept. Our next step is to determine a method that harnesses solar radiation to create electricity in a continuous manner.” The radial flow bioreactor can also be implemented for environmental cleanup. With a disk tailored for water filtration, desalination or bioremediation, untreated water can be pushed through the system until it reaches a satisfactory level of purification. “The continuous bioreactor design is based on first principles of engineering that our students are learning through their undergraduate education,” says Peters. “The nonlinear scaling laws and performance predictions are fundamentally based. In this day of continued emphasis on empirical AI algorithms, the diminishing understanding of fundamental physics, chemistry, biology and mathematics that underlie engineering principles is a challenge. It’s important we not let first-principles and fundamental understanding be degraded from our educational mission, and projects like the radial flow bioreactor help students see these important fundamentals in action.”
Taking ACT-ion for Quality Improvement
“Learning is a journey. It is continuous,” said nurse Hellen Okoth, MSN, CCRN, RN-BC, of the Transitional Surgical Unit. She was one of the learners on that journey through ChristianaCare’s professional development program Achieving Competency Today (ACT). ACT, a 12-week graduate-level program dedicated to health care improvement, will celebrate its 40th session in 2025. Some 1,000 caregivers have graduated from ACT and have tested some 140 innovative project ideas since the program’s launch in 2003. On April 9, three ACT teams presented their quality improvement projects at the John H. Ammon Medical Education Center on ChristianaCare’s Newark campus. Interdisciplinary, experiential learning programs like ACT create a rich and dynamic learning environment,” said Tabassum Salam, M.D., MBA, FACP, chief learning officer for ChristianaCare. “The emphasis on continuous improvement and real-world applications of the educational content sets our ACT graduates up for lifelong learning and repeated application of these new skills.” The ACT course is a collaborative experience that brings together learners from diverse disciplines to tackle real-world health care challenges. Participants learn from health system leaders and gain a broad perspective on health care through coursework. They work in teams to complete problem-solving projects from start to finish using the Plan-Do-Check-Act (PCDA) model of continuous improvement. Facilitators, who are experts in improvement science and team effectiveness, guide the teams through the process, ensuring that each project is meticulously planned and executed. ChristianaCare offers many professional development opportunities. Click here for careers and benefits. “The hands-on projects in ACT enable learners to innovate and test out solutions in settings that directly benefit patients, leading to better outcomes and a higher quality of care,” Salam said. The three most recent teams presented improvement research that has the potential to expand beyond their pilot stage to other areas of the health system. ‘Hush! For the Love of Health’ In “Hush! For the Love of Health,” an interdisciplinary team worked to reduce noise levels on the Cardiovascular Critical Care Unit (CVCCC) at Christiana Hospital. Their goal was to decrease ambient noise levels by 10 decibels during the study period. Intensive care units often experience noise levels that can exceed 80 decibels. A quiet environment is 30 to 40 decibels. Members of the “Hush” project found creative ways to reduce noise on an intensive care unit. Ambient noise refers to all sounds present in the background, which research shows can interfere with communication, concentration and comfort. In a hospital setting, these sounds may include alarms, conversations, announcement and pages and carts moving by. The team looked for opportunities to safely reduce the number of alarms sounding. By collaborating with Philips technology company to lower alarm volumes and eliminate redundant alarms, they reduced the number of alarms sounding from 10,000 to 3,000 daily and successfully decreased noise levels by 13 decibels, exceeding their goal. “It’s good for patients to have a quiet environment and it fights alarm fatigue for caregivers,” said Dylan Norris, a pre-medical student from the University of Delaware and participant in the ACT course. ‘Show Up and Show Out’ Reducing the no-show rate among patients in primary care practices improves health outcomes and conserves resources. In “Show Up and Show Out: Boosting Patient Attendance in Primary Care,” the project team aimed to reduce the incidence of no-show appointments at the Wilmington Adult Medicine (WAM) practice by 10%. The “Show Up and Show Out” project team used personalized communication outreach to patients to encourage keeping their primary care appointments. “Our literature review showed that personal relationships with providers are one thing that can encourage people to attend appointments,” said team member Christi Karawan, MS, BSN, CCRN-CSC. The key to their problem-solving strategy was using a secure messaging platform for automatic appointment reminders specifically for WAM that were personalized with the provider’s name and thanking the patients for letting WAM be a part of their healthcare team. Other steps on the road to success were signage around the practice encouraging patients to update their contact information and calls from office assistants and medical assistants to unconfirmed patients the day prior to their appointments. The team achieved a 9.5% reduction in no-shows, just shy of their goal, over a two-week period. An office assistant who participated in the pilot said, “Outreach has been helpful not only in getting people in but in getting people to reschedule or cancel. We can catch it before it becomes a no-show.” ‘Magnetic Efficiency’ To address delays in patient transport from MRI testing at Newark campus, an ACT team created a new communication workflow to directly connect patient escort dispatch to the MRI charge technician. The ACT team aimed to decrease patient wait times following MRI completion for stretcher transport back to patients rooms by 25% — and “a bold goal,” said one colleague — during the study period. The “Magnetic Efficiency” team identified a new workflow to get patients back to their hospital rooms faster after MRI testing. Using Vocera wearable communications tools, the team created a thread for direct communication between Escort Dispatch caregivers and MRI charge technicians. Also, when an Escort transporter dropped off a patient for an MRI, the transporter asked MRI staff if any patients were ready to go back to their rooms. These changes in communication and empowerment consolidated transports and led to a 17% reduction in wait time during the two-week pilot. “We don’t want people to work harder,” said team member Tim Kane, BSN, RN. “We wanted to avoid preventable delays.” Both teams expressed satisfaction and improved communication with the new process and they expressed interest in continuing the process after the pilot ended. Future forward The ACT course has a rich history, originating from a specific initiative piloted by the Robert Wood Johnson Foundation with ChristianaCare among the early adopters along with Harvard University, the University of Pennsylvania, Johns Hopkins University and Beth Israel Deaconess Medical Center. Through the years, ChristianaCare ACT team members have seen their projects live on both as permanent changes throughout the health system and, more personally, in their professional growth. “I was able to enhance my creativity, organizational and problem-solving skills,” said Starr Lumpkin, a staff assistant who was on the “Hush” team. “This was a pivotal journey for me.” ChristianaCare is growing its program to develop a pipeline for the next generation of health professionals, said Safety and Quality Education Specialist Claire Rudolph, MSM, CPHQ. “We have a varied group of learners and facilitators who are making an impact on health care quality, cost and safety.” Dylan Norris was the first participant from a new partnership with the University of Delaware for pre-med students to get quality improvement experience. “I have learned so much about what goes into a quality improvement project. Buy-in from the stakeholders is key in implementing any new project successfully,” she said. “I have also learned about the importance of the initial research that goes into creating a new project and how much pre-planning goes into it.” Closing the event, Clinical Effectiveness Officer Christian Coletti, M.D., MHCDS, FACEP, FACP, called on the ACT graduates to use their newfound “superpowers” — “vision, seeing the future, catching something before it breaks. “It’s not a glitch in the matrix,” he said. “You are the most important people at the bedside – hearing the alarms going off or the stretchers piling up. Work to identify problems and move toward solutions in your own microenvironments. Pass on your powers with reckless abandon.”
AI-powered model predicts post-concussion injury risk in college athletes
Athletes who suffer a concussion have a serious risk of reinjury after returning to play, but identifying which athletes are most vulnerable has always been a bit of a mystery, until now. Using artificial intelligence (AI), University of Delaware researchers have developed a novel machine learning model that predicts an athlete’s risk of lower-extremity musculoskeletal (MKS) injury after concussion with 95% accuracy. A recent study published in Sports Medicine details the development of the AI model, which builds on previously published research showing that the risk of post-concussion injury doubles, regardless of the sport. The most common post-concussive injuries include sprains, strains, or even broken bones or torn ACLs. “This is due to brain changes we see post-concussion,” said Thomas Buckley, professor of kinesiology and applied physiology at the College of Health Sciences. These brain changes affect athletes’ balance, cognition, and reaction times and can be difficult to detect in standard clinical testing. “Even a minuscule difference in balance, reaction time, or cognitive processing of what’s happening around you can make the difference between getting hurt and not,” Buckley said. How AI is changing injury risk assessment Recognizing the need for enhanced injury reduction risk tools, Buckley collaborated with colleagues in UD’s College of Engineering, Austin Brockmeier, assistant professor of electrical and computer engineering, and César Claros, a fourth-year doctoral student; Wei Qian, associate professor of statistics in the College of Agriculture and Natural Resources; and former KAAP postdoctoral fellow Melissa Anderson, who’s now an assistant professor at Ohio University. To assess injury risk, Brockmeier and Claros developed a comprehensive AI model that analyzes more than 100 variables, including sports and medical histories, concussion type, and pre- and post-concussion cognitive data. “Every athlete is unique, especially across various sports,” said Brockmeier. “Tracking an athlete’s performance over time, rather than relying on absolute values, helps identify disturbances, deviations, or deficits that, when compared to their baseline, may signal an increased risk of injury.” While some sports, such as football, carry higher injury risk, the model revealed that individual factors are just as important as the sport played. “We tested a version of the model that doesn’t have access to the athlete’s sport, and it still accurately predicted injury risk,” Brockmeier said. “This highlights how unique characteristics—not just the inherent risks of a sport—play a critical role in determining the likelihood of future injury,” said Brockmeier. The research, which tracked athletes over two years, also found that the risk of MSK injury post-concussion extends well into the athlete’s return to play. “Common sense would suggest that injuries would occur early in an athlete’s return to play, but that’s simply not true,” said Buckley. “Our research shows that the risk of future injury increases over time as athletes compensate and adapt to small deficits they may not even be aware of.” The next step for Buckey’s Concussion Research Lab is to further collaborate with UD Athletics’ strength and conditioning staff to design real-time interventions that could reduce injury risk. Beyond sports: AI’s potential in aging research The implications of the UD-developed machine-learning model extend far beyond sports. Brockmeier believes the algorithm could be used to predict fall risk in patients with Parkinson’s disease. Claros is also exploring how the injury risk reduction model can be applied to aging research with the Delaware Center for Cognitive Aging. “We want to use brain measurements to investigate whether baseline lifestyle measurements such as weight, BMI, and smoking history are predictive of future mild cognitive impairment or Alzheimer’s disease,” said Claros. To arrange an interview with Buckley, email UD's media relations team at MediaRelations@udel.edu
For three decades, Frederik Meijer Gardens & Sculpture Park has grown from a visionary idea into one of America’s most beloved cultural destinations, a place where art, nature, community, and imagination intersect. At the heart of this evolution is Charles Burke, the President and CEO guiding the institution through its 30th anniversary year and helping shape its legacy as a transformative cultural force. Charles Burke is President & CEO of Frederik Meijer Gardens & Sculpture Park. Under his direction, the organization has been recognized as Best Sculpture Park in the United States by USA Today’s 10Best Readers’ Choice Awards in 2023, 2024, and 2025, and consecutively named one of the Best Places to Work in West Michigan, solidifying its reputation as a cultural landmark of international acclaim. View his profile “As a place where art, culture and nature come together, Meijer Gardens offers something truly special for everyone. We look forward to welcoming guests of all ages to discover the joy, beauty and inspiration that await around every corner.” — Charles Burke, President & CEO, Frederik Meijer Gardens & Sculpture Park. The park's legacy and cultural impact was highlighted in a full feature in the Grand Rapids Press and MLive. In the article, journalists conveyed that Meijer Gardens is not just a museum, not just a botanical garden, and not just a sculpture park — it is all of these at once. Since opening in 1995, it has grown into an internationally recognized cultural institution celebrated for its world-class art, immersive natural environments, dynamic programming, and vibrant community engagement. Its influence extends far beyond regional boundaries, attracting millions of visitors, inspiring artists and gardeners, and elevating public appreciation for the arts and environment. The piece underscores how Meijer Gardens has become a cultural home for diverse audiences, blending artistic expression, horticultural beauty, and community connection into a holistic experience that resonates across generations. Celebrating a Cultural Legacy Under Burke’s leadership, Meijer Gardens has: Achieved record attendance and global recognition as a destination for art and nature. Hosted nationally significant sculpture exhibitions alongside beloved botanical showcases. Fostered public access to artistic and environmental education for students, families, and lifelong learners. Created immersive experiences that bring people together — from summer music series to seasonal exhibitions — forging emotional connections to art and landscape. Charles Burke leads Frederik Meijer Gardens & Sculpture Park with a vision that combines artistic ambition and community purpose. Under his direction, the institution has expanded its cultural reach while strengthening educational mission, accessibility, and artistic excellence. His perspective helps journalists cover not just the milestone itself, but the broader significance of what a cultural institution can mean to a region, a generation, and the public imagination. Expert Insight - What Charles Burke Brings to Your News Story or Speaking Roster How the intersection of art, culture and nature builds healthy communities How Meijer Gardens has shaped community identity and regional tourism The role of art institutions in fostering lifelong learning and inclusive engagement The vision and meaning behind three decades of creative stewardship As cultural institutions navigate questions of relevance, community value, and public engagement in the 21st century, Meijer Gardens stands as a compelling example of success. Its 30-year journey, and Burke’s leadership, offers rich context for stories about how art and nature can inspire civic pride, foster cross-generational connection, and elevate the cultural fabric of a community.
Why generative AI 'hallucinates' and makes up stuff
Generative artificial intelligence tools, like OpenAI’s GPT-4, are sometimes full of bunk. Yes, they excel at tasks involving human language, like translating, writing essays, and acting as a personalized writing tutor. They even ace standardized tests. And they’re rapidly improving. But they also “hallucinate,” which is the term scientists use to describe when AI tools produce information that sounds plausible but is incorrect. Worse, they do so with such confidence that their errors are sometimes difficult to spot. Christopher Kanan, an associate professor of computer science with an appointment at the Goergen Institute for Data Science and Artificial Intelligence at the University of Rochester, explains that the reasoning and planning capabilities of AI tools are still limited compared with those of humans, who excel at continual learning. “They don’t continually learn from experience,” Kanan says of AI tools. “Their knowledge is effectively frozen after training, meaning they lack awareness of recent developments or ongoing changes in the world.” Current generative AI systems also lack what’s known as metacognition. “That means they typically don’t know what they don’t know, and they rarely ask clarifying questions when faced with uncertainty or ambiguous prompts,” Kanan says. “This absence of self-awareness limits their effectiveness in real-world interactions.” Kanan is an expert in artificial intelligence, continual learning, and brain-inspired algorithms who welcomes inquiries from journalists and knowledge seekers. He recently shared his thoughts on AI with WAMC Northeast Public Radio and with the University of Rochester News Center. Reach out to Kanan by clicking on his profile.
Decoding the Future of AI: From Disruption to Democratisation and Beyond
The global AI landscape has become a melting pot for innovation, with diverse thinking pushing the boundaries of what is possible. Its application extends beyond just technology, reshaping traditional business models and redefining how enterprises, governments, and societies operate. Advancements in model architectures, training techniques and the proliferation of open-source tools are lowering barriers to entry, enabling organisations of all sizes to develop competitive AI solutions with significantly fewer resources. As a result, the long-standing notion that AI leadership is reserved for entities with vast computational and financial resources is being challenged. This shift is also redrawing the global AI power balance, with a decentralised approach to AI where competition and collaboration coexist across different regions. As AI development becomes more distributed, investment strategies, enterprise innovation and global technological leadership are being reshaped. However, established AI powerhouses still wield significant leverage, driving an intense competitive cycle of rapid innovation. Amid this acceleration, it is critical to distinguish true technological breakthroughs from over-hyped narratives, adopting a measured, data-driven approach that balances innovation with demonstrable business value and robust ethical AI guardrails. Implications of the Evolving AI Landscape The democratisation of AI advancements, intensifying competitive pressures, the critical need for efficiency and sustainability, evolving geopolitical dynamics and the global race for skilled talent are all fuelling the development of AI worldwide. These dynamics are paving the way for a global balance of technological leadership. Democratisation of AI Potential The ability to develop competitive AI models at lower costs is not only broadening participation but also reshaping how AI is created, deployed and controlled. Open-source AI fosters innovation by enabling startups, researchers, and enterprises to collaborate and iterate rapidly, leading to diverse applications across industries. For example, xAI has made a significant move in the tech world by open sourcing its Grok AI chatbot model, potentially accelerating the democratisation of AI and fostering innovation. However, greater accessibility can also introduce challenges, including risks of misuse, uneven governance, and concerns over intellectual property. Additionally, as companies strategically leverage open-source AI to influence market dynamics, questions arise about the evolving balance between open innovation and proprietary control. Increased Competitive Pressure The AI industry is fuelled by a relentless drive to stay ahead of the competition, a pressure felt equally by Big Tech and startups. This is accelerating the release of new AI services, as companies strive to meet growing consumer demand for intelligent solutions. The risk of market disruption is significant; those who lag, face being eclipsed by more agile players. To survive and thrive, differentiation is paramount. Companies are laser-focused on developing unique AI capabilities and applications, creating a marketplace where constant adaptation and strategic innovation are crucial for success. Resource Optimisation and Sustainability The trend toward accessible AI necessitates resource optimisation, which means developing models with significantly less computational power, energy consumption and training data. This is not just about cost; it is crucial for sustainability. Training large AI models is energy-intensive; for example, training GPT-3, a 175-billion-parameter model, is believed to have consumed 1,287 MWh of electricity, equivalent to an average American household’s use over 120 years1. This drives innovation in model compression, transfer learning, and specialised hardware, like NVIDIA’s TensorRT. Small language models (SLMs) are a key development, offering comparable performance to larger models with drastically reduced resource needs. This makes them ideal for edge devices and resource-constrained environments, furthering both accessibility and sustainability across the AI lifecycle. Multifaceted Global AI Landscape The global AI landscape is increasingly defined by regional strengths and priorities. The US, with its strength in cloud infrastructure and software ecosystem, leads in “short-chain innovation”, rapidly translating AI research into commercial products. Meanwhile, China excels in “long-chain innovation”, deeply integrating AI into its extended manufacturing and industrial processes. Europe prioritises ethical, open and collaborative AI, while the APAC counterparts showcase a diversity of approaches. Underlying these regional variations is a shared trajectory for the evolution of AI, increasingly guided by principles of responsible AI: encompassing ethics, sustainability and open innovation, although the specific implementations and stages of advancement differ across regions. The Critical Talent Factor The evolving AI landscape necessitates a skilled workforce. Demand for professionals with expertise in AI and machine learning, data analysis, and related fields is rapidly increasing. This creates a talent gap that businesses must address through upskilling and reskilling initiatives. For example, Microsoft has launched an AI Skills Initiative, including free coursework and a grant program, to help individuals and organisations globally develop generative AI skills. What does this mean for today’s enterprise? New Business Horizons AI is no longer just an efficiency tool; it is a catalyst for entirely new business models. Enterprises that rethink their value propositions through AI-driven specialisation will unlock niche opportunities and reshape industries. In financial services, for example, AI is fundamentally transforming operations, risk management, customer interactions, and product development, leading to new levels of efficiency, personalisation and innovation. Navigating AI Integration and Adoption Integrating AI is not just about deployment; it is about ensuring enterprises are structurally prepared. Legacy IT architectures, fragmented data ecosystems and rigid workflows can hinder the full potential of AI. Organisations must invest in cloud scalability, intelligent automation and agile operating models to make AI a seamless extension of their business. Equally critical is ensuring workforce readiness, which involves strategically embedding AI literacy across all organisational functions and proactively reskilling talent to collaborate effectively with intelligent systems. Embracing Responsible AI Ethical considerations, data security and privacy are no longer afterthoughts but are becoming key differentiators. Organisations that embed responsible AI principles at the core of their strategy, rather than treating them as compliance check boxes, will build stronger customer trust and long-term resilience. This requires proactive bias mitigation, explainable AI frameworks, robust data governance and continuous monitoring for potential risks. Call to Action: Embracing a Balanced Approach The AI revolution is underway. It demands a balanced and proactive response. Enterprises must invest in their talent and reskilling initiatives to bridge the AI skills gap, modernise their infrastructure to support AI integration and scalability and embed responsible AI principles at the core of their strategy, ensuring fairness, transparency and accountability. Simultaneously, researchers must continue to push the boundaries of AI’s potential while prioritising energy efficiency and minimising environmental impact; policymakers must create frameworks that foster responsible innovation and sustainable growth. This necessitates combining innovative research with practical enterprise applications and a steadfast commitment to ethical and sustainable AI principles. The rapid evolution of AI presents both an imperative and an opportunity. The next chapter of AI will be defined by those who harness its potential responsibly while balancing technological progress with real-world impact. Resources Sudhir Pai: Executive Vice President and Chief Technology & Innovation Officer, Global Financial Services, Capgemini Professor Aleks Subic: Vice-Chancellor and Chief Executive, Aston University, Birmingham, UK Alexeis Garcia Perez: Professor of Digital Business & Society, Aston University, Birmingham, UK Gareth Wilson: Executive Vice President | Global Banking Industry Lead, Capgemini 1 https://www.datacenterdynamics.com/en/news/researchers-claim-they-can-cut-ai-training-energy-demands-by-75/?itm_source=Bibblio&itm_campaign=Bibblio-related&itm_medium=Bibblio-article-related
Virtual reality training tool helps nurses learn patient-centered care
University of Delaware computer science students have developed a digital interface as a two-way system that can help nurse trainees build their communication skills and learn to provide patient-centered care across a variety of situations. This virtual reality training tool would enable users to rehearse their bedside manner with expectant mothers before ever encountering a pregnant patient in person. The digital platform was created by students in Assistant Professor Leila Barmaki’s Human-Computer Interaction Laboratory, including senior Rana Tuncer, a computer science major, and sophomore Gael Lucero-Palacios. Lucero-Palacios said the training helps aspiring nurses practice more difficult and sensitive conversations they might have with patients. "Our tool is targeted to midwifery patients,” Lucero-Palacios said. “Learners can practice these conversations in a safe environment. It’s multilingual, too. We currently offer English or Turkish, and we’re working on a Spanish demo.” This type of judgement-free rehearsal environment has the potential to remove language barriers to care, with the ability to change the language capabilities of an avatar. For instance, the idea is that on one interface the “practitioner” could speak in one language, but it would be heard on the other interface in the patient’s native language. The patient avatar also can be customized to resemble different health stages and populations to provide learners a varied experience. Last December, Tuncer took the project on the road, piloting the virtual reality training program for faculty members in the Department of Midwifery at Ankara University in Ankara, Turkey. With technical support provided by Lucero-Palacios back in the United States, she was able to run a demo with the Ankara team, showcasing the UD-developed system’s interactive rehearsal environment’s capabilities. Last winter, University of Delaware senior Rana Tuncer (left), a computer science major, piloted the virtual reality training program for Neslihan Yilmaz Sezer (right), associate professor in the Department of Midwifery, Ankara University in Ankara, Turkey. Meanwhile, for Tuncer, Lucero-Palacios and the other students involved in the Human-Computer Interaction Laboratory, developing the VR training tool offered the opportunity to enhance their computer science, data science and artificial intelligence skills outside the classroom. “There were lots of interesting hurdles to overcome, like figuring out a lip-sync tool to match the words to the avatar’s mouth movements and figuring out server connections and how to get the languages to switch and translate properly,” Tuncer said. Lucero-Palacios was fascinated with developing text-to-speech capabilities and the ability to use technology to impact patient care. “If a nurse is well-equipped to answer difficult questions, then that helps the patient,” said Lucero-Palacios. The project is an ongoing research effort in the Barmaki lab that has involved many students. Significant developments occurred during the summer of 2024 when undergraduate researchers Tuncer and Lucero-Palacios contributed to the project through funding support from the National Science Foundation (NSF). However, work began before and continued well beyond that summer, involving many students over time. UD senior Gavin Caulfield provided foundational support to developing the program’s virtual environment and contributed to development of the text-to-speech/speech-to-text capabilities. CIS doctoral students Fahim Abrar and Behdokht Kiafar, along with Pinar Kullu, a postdoctoral fellow in the lab, used multimodal data collection and analytics to quantify the participant experience. “Interestingly, we found that participants showed more positive emotions in response to patient vulnerabilities and concerns,” said Kiafar. The work builds on previous research Barmaki, an assistant professor of computer and information sciences and resident faculty member in the Data Science Institute, completed with colleagues at New Jersey Institute of Technology and University of Central Florida in an NSF-funded project focused on empathy training for healthcare professionals using a virtual elderly patient. In the project, Barmaki employed machine learning tools to analyze a nursing trainee’s body language, gaze, verbal and nonverbal interactions to capture micro-expressions (facial expressions), and the presence or absence of empathy. “There is a huge gap in communication when it comes to caregivers working in geriatric care and maternal fetal medicine,” said Barmaki. “Both disciplines have high turnover and challenges with lack of caregiver attention to delicate situations.” UD senior Rana Tuncer (center) met with faculty members Neslihan Yilmaz Sezer (left) and Menekse Nazli Aker (right) of Ankara University in Ankara, Turkey, to educate them about the virtual reality training tool she and her student colleagues have developed to enhance patient-centered care skills for health care professionals. When these human-human interactions go wrong, for whatever reason, it can extend beyond a single patient visit. For instance, a pregnant woman who has a negative health care experience might decide not to continue routine pregnancy care. Beyond the project’s potential to improve health care professional field readiness, Barmaki was keen to note the benefits of real-world workforce development for her students. “Perceptions still exist that computer scientists work in isolation with their computers and rarely interact, but this is not true,” Barmaki said, pointing to the multi-faceted team members involved in this project. “Teamwork is very important. We have a nice culture in our lab where people feel comfortable asking their peers or more established students for help.” Barmaki also pointed to the potential application of these types of training environments, enabled by virtual reality, artificial intelligence and natural language processing, beyond health care. With the framework in place, she said, the idea could be adapted for other types of training involving human-human interaction, say in education, cybersecurity, even in emerging technology such as artificial intelligence (AI). Keeping people at the center of any design or application of this work is critical, particularly as uses for AI continue to expand. “As data scientists, we see things as spreadsheets and numbers in our work, but it’s important to remember that the data is coming from humans,” Barmaki said. While this project leverages computer vision and AI as a teaching tool for nursing assistants, Barmaki explained this type of system can also be used to train AI and to enable more responsible technologies down the road. She gave the example of using AI to study empathic interactions between humans and to recognize empathy. “This is the most important area where I’m trying to close the loop, in terms of responsible AI or more empathy-enabled AI,” Barmaki said. “There is a whole area of research exploring ways to make AI more natural, but we can’t work in a vacuum; we must consider the human interactions to design a good AI system.” Asked whether she has concerns about the future of artificial intelligence, Barmaki was positive. “I believe AI holds great promise for the future, and, right now, its benefits outweigh the risks,” she said.
Florida Tech Welcomes Visiting Australian Scholar to Aid in Antifouling Research
Florida Tech’s Center for Corrosion and Biofouling Control is welcoming a new teammate for the semester. Tamar Jamieson, a postdoctoral researcher hailing from Australia’s Flinders University, is in Melbourne, Fla. to collaborate on biofouling research with assistant professor of marine sciences Kelli Hunsucker and professor of oceanography and ocean engineering Geoffrey Swain. Biofouling is the growth of a bacterial film or larger marine life, such as barnacles, after an object’s surface is submerged in water. It can inhibit a ship’s functionality by creating drag and slowing it down, which forces the vessel to use more fuel and emit more greenhouse gases. Over the course of the semester, Jamieson will help Hunsucker’s team develop a collaborative experiment to test antifouling techniques, combining Jamieson’s expertise with that of the lab. “I’m excited to have someone here who has this kind of wealth of knowledge in her field,” Hunsucker said. “She’ll be able to use her knowledge to help move our research forward and then kind of in return, use our knowledge to help move hers forward.” The Center for Corrosion and Biofouling Control aims to understand and improve corrosion and biofouling control systems. Part of Hunsucker’s research involves evaluating materials that can protect surfaces, such as a ship’s hull, from unwanted growth. She is currently working with the U.S. Navy to see how antifouling techniques perform under different conditions. Jamieson’s research through Flinders’s ARC Training Centre for Biofilm Research & Innovation focuses on the small-scale microorganisms that make up biofilm. She also studies the genetic makeup of microbial communities, which Hunsucker wants to add to her own research. Jamieson is especially interested in learning how antifouling materials interact with local waters. Florida’s seascape is warmer than Australia’s, so fouling grows quicker here than it does there. She also wants to see how American antifouling materials vary from those used in Australia and collaborate on a versatile solution that can withstand a variety of conditions. “Materials that work well here will probably not work in other environments,” Jamieson said. “Seeing how to develop materials for all three environments will be an interesting pathway forward.” Hunsucker hopes this exchange will lead to even more collaboration with Flinders University. “The program that she’s involved with opens the door for collaborative efforts for us to maybe go to Australia in the future,” Hunsucker said. “Her colleagues can also similarly come back and work with us.” Jamieson’s scholarship is funded by the American Australian Association, a New York-based non-profit organization dedicated to deepening and strengthening ties between the United States and Australia. The South Australia Defense, Space and Cyber Scholarship funds scholars from the U.S. and South Australia undertaking Ph.D. or post-doctoral research in those fields. Kelli Hunsucker and Geoffrey Swain are available to speak with media. Contact Adam Lowenstein, Director of Media Communications at Florida Institute of Technology at adam@fit.edu to arrange an interview today.
