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Trump Holds Firm on Resolving Trade Deficit with China
Dr. Meena Bose, Hofstra University professor of political science, executive dean of the Public Policy and Public Service program, and director of the Kalikow Center for the Study of the American Presidency, was featured on Fox News Radio stations around the country, talking about President Trump’s unwillingness to negotiate with China on tariffs. He said that the United States’ trade deficit with China amounts to more than $1 trillion, and he’s not open to making a deal with them until that surplus is resolved. Dr. Bose appeared on WTVN in Columbus, OH; KFTK in St. Louis, MO; WFRK in Florence, SC; WILS in Lansing, MI; WBAP in Dallas, TX; WJR in Detroit, MI; and WHO Des Moines, IA.
A final disbursement of $8.8 million completes the $17.8 million grant awarded by the Department of Defense (DoD) to Virginia Commonwealth University’s (VCU) Convergence Lab Initiative (CLI). The funding allows CLI to continue advancing research in the areas of quantum and photonic devices, microelectronics, artificial intelligence, neuromorphic computing, arts and biomedical science. “The Convergence Lab Initiative represents a unique opportunity to drive innovation at the intersection of advanced technologies, preparing our students to tackle the critical challenges of tomorrow,” said Nibir Dhar, Ph.D., electrical and computer engineering professor and CLI director. “By combining cutting-edge research in electro-optics, infrared, radio frequency and edge computing, we are equipping the next generation of engineers with the skills to shape the future of both defense and commercial industries.” Working with Industry Partnership is at the heart of CLI and what makes the initiative unique. CivilianCyber, Sivananthan Laboratories and the University of Connecticut are among several collaborators focusing on cutting-edge, multidisciplinary research and workforce development. The lightweight, low-power components CLI helps develop are capable of transforming military operations and also have commercial applications. The Convergence Lab Initiative has 25 collaborative projects in this area focused on: Electro-optic and Infrared Technologies: Enhancing thermal imaging for medical diagnostics, search-and-rescue operations and environmental monitoring. This improves military intelligence, surveillance and reconnaissance capabilities. Radio Frequency and Beyond 5G Communication: Developing ultra-fast, low-latency communication systems for autonomous vehicles, smart cities and telemedicine. Accelerating advancements in this area also address electronic warfare challenges and security vulnerabilities. Optical Communication in the Infrared Wavelength: Increasing data transmission rates to create more efficient networks that support cloud computing, data centers, AI research and covert military communications. Edge Technologies: Creating low size, weight and low power-consuming (SWaP) computing solutions for deployment in constrained environments, such as wearables, medical devices, internet of things devices and autonomous systems. These technologies enhance real-time decision-making capabilities for agriculture, healthcare, industrial automation and defense. Benefits for Students College of Engineering students at VCU have an opportunity to engage with cutting-edge research as part of the DoD grant. Specialized workforce development programs, like the Undergraduate CLI Scholars Program, provide hands-on experience in advanced technologies. The STEM training also includes students from a diverse range of educational backgrounds to encourage a cross-disciplinary environment. Students can also receive industry-specific training through CLI’s Skill-Bridge Program, which facilitates direct connections between business needs and academic education. Unlike the DoD program for transitioning military personnel, the CLI Skill-Bridge is open to students from VCU and other local universities, creating direct connections between industry needs and academic training. This two-way relationship between academia and industry is unlike traditional academic research centers. With the College of Engineering’s focus on public-private partnerships, VCU becomes a registered partner with the participating businesses, collaborating to design individualized training programs focused on the CLI’s core research areas. This approach ensures students receive relevant, up-to-date training while companies gain access to a pipeline of skilled talent familiar with the latest industry trends and innovations. “The significance of this grant extends beyond immediate research outcomes. It addresses critical capability gaps for both the DoD and commercial sectors,” says Dhar. “This dual-use approach maximizes DoD investment impacts and accelerates innovation in areas that affect everyday life — from healthcare and environmental monitoring to communication networks and smart infrastructure. Breakthroughs emerging from these collaborations will strengthen national security while creating commercial spinoffs that drive economic growth and improve quality of life for communities both locally and globally. Advances in infrared technology, in particular, will position the VCU College of Engineering as a center for defense technologies and new ideas.”
Are test-optional colleges being straight with students when they say the absence of SAT and ACT scores on an application won’t affect a student’s chances of being admitted? “Colleges are not trying to trick or trap applicants,” says Robert Alexander, who oversees the admissions process at the University of Rochester, where he is a vice provost and the dean of enrollment management. “No one is trying to fool anyone into thinking, ‘I don’t have to submit a test score,’ when that test score is secretly make-or-break.” Much more important in any academic assessment, Alexander says, is and always has been the four years of academic performance detailed in an applicant’s high school transcript. He says most colleges, including Rochester, take a deep dive into the transcript to not only consider the student’s grade point average, but also the rigor of the high school and its curriculum and why the student selected certain courses. “Some students are limited by the opportunities offered at their schools,” Alexander says. “In that case, colleges look for what they have done to utilize their resources and push beyond those limitations.” The University of Rochester has a test-optional policy. The average standardized test score of incoming students has been trending upward, in part because the students who are most likely to submit their scores on their applications are those with strong scores. Alexander says prospective students and their families can use the average test scores at the college or university they’re considering as a barometer, but not the arbiter of whether a student will gain acceptance. “I think admissions officers are being as transparent as possible in telling students what they require,” Alexander says. Alexander is an expert in undergraduate admissions and enrollment management who speaks on the subjects to national audiences and whose work has been published in national publications. Click his profile to reach him.
President Trump Uses Law Enforcement to Access Independent Agencies
Dr. Meena Bose, Hofstra University professor of political science, executive dean of the Public Policy and Public Service program, and director of the Kalikow Center for the Study of the American Presidency, is featured in The Washington Post article: “Trump uses power and police to help DOGE access independent agencies.” “It’s a clear strategy of asserting executive power and challenging any willingness or efforts to restrict that power,” said Dr. Bose.
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.
Maurice A. Deane School of Law at Hofstra University Professor James Sample provided expert constitutional analysis to CNN, ABC News and CBS Radio on recent news of President Trump seeking a potential third term.
University of Delaware's physical therapy program ranked #1 graduate school in the U.S.
The University of Delaware's physical therapy program has been ranked #1 in the 2026 edition of Best Graduate Schools, U.S. News and World Report. The program has revolutionized the use of prosthetics, helped students become trainers for Super Bowl champions and boasts unique specialized training. Darcy Reisman, chair of the program, can talk about the following: Research: One study incorporated walking into daily behavior for stroke patients. Our PT researchers have also revolutionized the use of prosthetics to improve the lives of those who have lost limbs. Professional outcomes: Two of our PT grads were on the Philadelphia Eagles’ training staff during their Super Bowl run. Another is working in Major League Soccer with a Tennessee-based team. Specialized training: UDPT has an accredited Manual Fellowship Program that provides post-professional training for physical therapists in the specialized area of Manual Therapy.Research In total, U.S. news ranked 24 UD graduate programs among the best in the nation. Among those, 13 were in the top 50, including chemical engineering at #8.
In new book, entomologist shows homeowners how to make changes in their yards
They asked, he answered. In his new book, "How Can I Help?: Saving Nature with Your Yard," nationally known University of Delaware entomologist Doug Tallamy addresses the most common questions he receives from homeowners looking to do their part to impact the food web, boost biodiversity and replace invasive plants with native ones. “Change is afoot!” Tallamy writes in the book, which was released today, April 8. “The cultural change from an adversarial relationship with nature to a collaborative one is starting to happen, and it gives me hope about the future of diversity and thus our own future.” Tallamy, TA Baker Professor of Agriculture and Natural Resources, wrote “How Can I Help” to tackle questions he’s received over email and during talks he has given around the U.S. “I get the same questions over and over again,” Tallamy said. “They fall into easily arranged categories: Questions about oaks, questions about ecology, questions about invasive plants. The book almost wrote itself in that sense.” Some of those common questions include: • Why should I care about the food web? • How should I choose the right native plants for my property? • What is the greatest threat to oaks? • How do we prioritize which invasive species to get rid of? • Are bug zappers hurting insect populations? • Is it better to have fewer plants of lots of species or more plants of fewer species? • Is it good to feed the birds? Tallamy is available for interviews to discuss "How Can I Help" or other relevant topics. To reach him directly, visit his profile and click on the "connect" button.
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
Weird and complex life emerged on Earth as the planet's magnetic field gave way
The Earth’s magnetic field plays a key role in making the planet habitable. It shields lifeforms from harmful solar and cosmic radiation. It helps limit erosion of the atmosphere and keeps water from escaping into space. But new data show a prolonged near collapse of Earth’s magnetic field that took place some 575-565 million years ago coincided with the blossoming of macroscopic complex animal life. We now face the possibility of a new, unexpected twist in how life might relate to the magnetic field, says John A. Tarduno, the William R. Kenan Professor of Geophysics and the dean of research at the School of Arts and Sciences and the Hajim School of Engineering and Applied Sciences at the University of Rochester. “That twist could reach deep into Earth’s inner core,” says Tarduno, who recently wrote about the findings for Physics Today magazine. Tarduno is frequently cited by news outlets, like CNN, The Washington Post, and Smithsonian magazine, on matters related to the Earth’s inner core, or dynamo, and magnetic field. He can be reached at john.tarduno@rochester.edu.