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Could Smarter Guns Be the Key To Stopping Mass Shootings and Other Violence?
“Gun violence in this country is an epidemic, and it’s an international embarrassment,” President Biden recently said. At least 45 mass shootings have occurred in America in the last month, according to reports. In the same time period, news of police officers killing unarmed Black men and boys, including 20-year-old Daunte Wright in Minneapolis and 13-year-old Adam Toledo in Chicago, sparked waves of protest around the country. These all-too-common tragedies could be significantly reduced — and even eliminated — without any of the partisan rancor and gridlock typically associated with gun-related debates, says Selmer Bringsjord, an expert in artificial intelligence and reasoning and a professor of cognitive science at Rensselaer Polytechnic Institute. “There is a solution,” Bringsjord, the director of the Rensselaer AI and Reasoning Laboratory, wrote in the Times Union. “A technological alternative to the fruitless shouting match between politicians: namely, AI — of the ethical sort. Guns that are at once intelligent and ethically correct can put an end to the mass-shooting carnage.” Rather than an endless debate over whether the public should have more guns or less, Bringsjord’s novel – and, he says, plausible – proposal is to shift to “smart and virtuous guns, and intelligent restraining devices that operate in accord with ethics, and the law.” Along with his coauthors, Bringsjord detailed his ideas in a recent paper, “AI Can Stop Mass Shootings, and More.” Anticipating some counterarguments, the authors urge readers “to at least contemplate whether we are right, and whether, if we are, such AI is worth seeking.” Bringsjord and his collaborators have created simulations showing how, in only 2.3 seconds, ethical AI technology can perceive a human’s intent and environment and then, if necessary, prevent their gun from firing. Importantly, he notes, the same technology that could prevent a criminal from opening fire in a public area could also prevent a police officer from shooting a person who posed no threat. “Ultimately research along this line should enable humans, in particular some human police, to simply be replaced by machines that, as a matter of ironclad logic, cannot do wrong,” Bringsjord said in a recent public radio segment. The AI capabilities discussed by Bringsjord are the product of prior work over seven years of funding from the Office of Naval Research devoted to developing moral competence in robots. Bringsjord has spoken about robots and logic at TEDxLimassol. He is the author of What Robots Can and Can’t Be and Superminds: People Harness Hypercomputation. He is also the co-author of Artificial Intelligence and Literary Creativity: Inside the Mind of Brutus, a Storytelling Machine. Bringsjord is available to speak about his recent proposals around AI-enabled guns, as well as other aspects of AI, human and machine reasoning, and formal logic.
On January 06, America watched with shock as a mob of protesters stormed the gates in Washington, D.C. and invaded the Capitol buildings. For hours, the rioters looted and occupied America’s halls of power and though some were apprehended, many found a way to get out and get back home avoiding arrest. However, media coverage was substantial and some of the protesters were even bold enough to be caught posing for social media. Slowly, authorities are tracking them down, and Dr. Derek Riley, an expert at Milwaukee School of Engineering (MSOE) in the areas of computer science and deep learning, has been explaining how artificial intelligence (AI) technology that’s taught at MSOE is capable of enabling law enforcement's efforts to identify individuals from pictures. "With these AI systems, we’ll show it example photos and we’ll say, 'OK, this is a nose, this is an ear, this is Billy, this is Susie,'" Riley said. "And over lots and lots of examples and a kind of understanding if they guess right or wrong, the algorithm actually tunes itself to get better and better at recognizing certain things." Dr. Riley says this takes huge amounts of data and often needs a supercomputer—like MSOE's "Rosie"— to process it. To get a computer or software to recognize a specific person takes more fine-tuning, Riley says. He says your smartphone may already do this. "If you have a fingerprint scan or facial recognition to open up your phone, that’s exactly what’s happening," Riley said. "So, they’ve already trained a really large model to do all the basic recognition, and then you provide a device with a fingerprint scanning or pictures of your face at the end to be able to fine-tune that model to recognize exactly who you are." Riley says this technology isn't foolproof—he says human intelligence is needed at every step. He added we might be contributing to the data sources some of the technology needs by posting our pictures to social media. "Folks are uploading their own images constantly and that often is the source of the data that is used to train these really, really large systems," Riley said. January 14 – WTMJ, Ch. 4, NBC News The concept of facial recognition and the use of this technology in law enforcement (and several other applications) is an emerging topic – and if you are a reporter looking to cover this topic or speak with an expert, then let us help. Dr. Derek Riley is an expert in big data, artificial intelligence, computer modeling and simulation, and mobile computing/programming. He’s available to speak with media about facial recognition technology and its many uses. Simply click on his icon now to arrange an interview today.
As Flexible Voting Options Scrutinized, Expert Says Online Voting Not a Safe Alternative
The popularity of — and controversies surrounding — early voting and mail-in ballots demonstrates a demand for more flexible voting options. But online voting shouldn’t be up for consideration, according to James Hendler, the head of the Institute for Data Exploration and Applications at Rensselaer Polytechnic Institute. Hendler also chairs the U.S. Technology Policy Committee of the Association for Computing Machinery, the world’s largest and oldest society of individuals involved in all aspects of computing. In public statements expressing his own opinion and on behalf of the ACM, Hendler has discussed the vulnerabilities of online voting and the organization’s effort to press against its adoption. Hendler argues that online voting is not, and cannot be made to be, secure against malware and denial of service attacks — and that no app or underlying technology, including blockchain, holds potential to overcome those challenges. "The current state of mobile voting is that we are not ready to deploy it at scale, that it has significant technical and socio-technical aspects, particularly cybersecurity, that we need to worry about, and that there are alternatives,” Hendler said. “The ACM has worked hard as an organization to explain our evidence-based reasoning, and to express the hope that online-voting won’t be used now and in the foreseeable future.” In explaining why online voting is more complicated than online banking, shopping and other common internet activities, Hendler said, “The main reason that online voting is more complex is that it must maintain anonymity, no one is allowed to know how you voted. Securing online voting without providing access to identity is extremely difficult. There are other reasons as well including the staggering cost and the lack of a centralized US authority, but identity management remains the number one.” Under his leadership, the ACM’s U.S. Technology Policy Committee, along with leading organizations and experts in cybersecurity and computing, sent a letter to all governors, secretaries of state and other state election directors urging them not to allow the use of internet or voting app systems. Hendler has extensive experience in policy and advisory positions that consider aspects of artificial intelligence, cybersecurity and internet and web technologies as they impact issues such as online voting and the regulation of social media and powerful technologies including facial recognition and artificial intelligence. In light of ongoing political unrest, Hendler is available to speak to diverse aspects of information technology as related to the election, AI in applications like policing, and the politics related to social media.
Best-selling author Peter Singer talks with the Brunswick Review about winning the increasingly crowded and contentious war for attention What do Isis and Taylor Swift have in common? According to author and digital-security strategist Peter Singer, both the terrorist organization and pop star are fighting for your attention online and employing similar tactics to try and win it. ISIS kicked off its 2014 invasion of Mosul with the hashtag, “#AllEyesonISIS.” More recently, the terror group posted photos of its members holding cute cats in an effort to make them more relatable – tactics familiar to most celebrities and online marketers around the world. These online battles, the rules governing them, and their real-world impact are the focus of Mr. Singer’s latest book, LikeWar, which he coauthored with Emerson T. Brooking, at the time a research fellow with the Council of Foreign Relations. “A generation ago people talked about the emergence of cyber war, the hacking of networks. A ‘LikeWar’ is the flip side: the hacking of people and ideas on those networks. Power in this conflict is the command of attention,” says Mr. Singer, who in addition to his writing is also a strategist and Senior Fellow at the New America Foundation. Pretty much everyone who posts online – from governments to marketers to reality TV stars – is a combatant in this fight for virality, according to Mr. Singer. Triumph in a “LikeWar” and you command attention to your product or propaganda or personality. Lose and you cede control of the spotlight and the agenda. Mr. Singer recently spoke with Brunswick’s Siobhan Gorman about the trends he’s seeing in LikeWars around the world, and what companies can do to avoid being on the losing end. What were you most surprised by in researching LikeWar? One of the more interesting characters in the book was at one time voted TV’s greatest villain: Spencer Pratt, a reality TV star on MTV’s “The Hills.” He’s basically one of these people who became famous almost for nothing. But what Pratt figured out really early was the power of narrative, which allowed him to become famous through, as he put it, “manipulating the media.” In the same week, I interviewed both Pratt and the person at the US State Department who’s in charge of the US government’s efforts to battle ISIS online. And Pratt, this California bro who’s talking about how to manipulate the media to get attention, understood more of what was playing out online than the person at the State Department. Spencer Pratt, a reality TV star… understood more of what was playing out online than the person at the State Department.” How much have online conflicts changed the rules in the last few years? First, the internet has left adolescence. It’s only just now starting to flex its muscles and deal with some of its responsibilities. The structure of the network changes how these battles play out. So, it’s this contest of both psychological but also algorithmic manipulation. What you see go across your screen on social media is not always decided by you. The rule makers of this global fight are a handful of Silicon Valley engineers. Another aspect of it is that social media has effectively rendered secrets of any consequence almost impossible to keep. As one CIA person put it to us, “secrets now come with a half-life.” Virality matters more than veracity; the truth doesn’t always win out. In fact, the truth can be buried underneath a sea of lies and likes. And the last part is that we’re all part of it. All of our decisions as individuals shape which side gets attention, and therefore which side wins out. But you highlight that this is playing out differently in China. Exactly. There are two different models shaping the internet, and shaping people’s behavior through the internet, playing out in the West and in China. Essentially, internet activity in China is all combined. Look at WeChat, which is used for everything from social media to mobile payment; it’s Amazon meets Facebook meets Pizza Hut delivery. And you combine that with an authoritarian government that’s had a multi-decade plan for building out surveillance, and you get the social credit system, which is like Orwellian surveillance crossed with marketing. The social credit system allows both companies and the government to mine and combine all the different points of information that an online citizen in China reveals of themselves, and then use that to create a single score – think of it as your financial credit score of your “trustworthiness.” For example, if you buy diapers your score goes up, because that indicates you’re a parent and a good parent. If you play video games for longer than an hour your score goes down because you’re wasting time online. And it’s all networked. Your friends and family know your score. It creates a soft form of collective censorship; if your brother posts something that’s critical of the government, you’re the one who goes to him and says, “Knock it off ’cause you’re hurting my score.” And you do that because the score has real consequences. Already it’s being used for everything from seating on trains and job applications to online dating. Your score literally shapes your romantic prospects. So, you have this massive global competition between Chinese tech companies and other global tech companies not only for access to markets, but also for whose vision of the internet is going to win out. How can companies win a “LikeWar”? Everyone’s wondering: What are the best ways to drive your message out there and have it triumph over others? The best companies I’ve seen create a narrative, have a story and have emotion – in particular, they have emotion that provokes a reaction of some kind. It’s all about planned authenticity. That sounds like a contradiction, but it’s about acting in ways that are genuine, but are also tailored because you’re aware that the world is watching you. A good comparison here is Wendy’s versus Hillary Clinton. Wendy’s is a hamburger chain – not a real person – but it acts and comes across as “authentic” online and has developed a massive following. They’re funny, irreverent. Yet Hillary Clinton – a very real person – never felt very authentic in her online messaging. And that’s because it involved a large number of people – by one account, 11 different people – all weighing in on what should be tweeted out. Inundation and experimentation are also key. Throwing not just one message out there, but massive amounts of them. Treating each message as both a kind of weapon, but also an experiment that allows you to then learn, refine, do it again, do it again, do it again. How do you measure and gauge battles online now? Is it just volume? It all depends on what your battle is, what your end goal is. Is it driving sales? Is it getting people to vote for you, to show up to your conference? This is what the US gets wrong about Russian propaganda and its disinformation campaigns. We think they’re designed to make people love or trust a government. From its very start back in the 1920s, the goal of propaganda coming from the Soviet Union, and today Russia, has been instead to make you distrust – distrust everything, disbelieve everything. And we can see it’s been incredibly effective for them. First, we need to recognize that we’re a part of the battle. In fact, we’re a target of most of the battles. How effective have disinformation campaigns actually been in the US? What can be done? One of the scariest and maybe saddest things we discovered is that the US is now the story that other nations point to as the example of what you don’t want to have happen. There’s no silver bullet, of course. But one example was something called the Active Measures Working Group, a Cold War organization that brought together the intelligence community, diplomats and communicators to identify incoming KGB disinformation campaigns and then develop responses to them. We’re dealing with the modern, way more effective online version of something similar, and we haven’t got anything like that. There are also digital literacy programs. I find it stunning that the US supports education programs to help citizens and kids in Ukraine learn about what to do and how to think about online disinformation, but we don’t do that for our own students. What can people like you or me do? First, we need to recognize that we’re a part of the battle. In fact, we’re a target of most of the battles. And we need to better understand how the platforms work that we use all the time. A majority of people actually still don’t understand how social media companies make money. The other is to seek out the truth. How do we do that? And the best way is to remember the ancient parable of the blind man and the elephant – don’t just rely on one source, pull from multiple different sources. That’s been proven in a series of academic studies as the best way to find the facts online. It’s not exactly new, but it’s effective. Where will the next online war be fought? The cell phone in your pocket, or if we’re being futuristic, the augmented reality glasses that you wear as you walk down the street. It’ll come from the keepsake videos that you play on them. If you want to know what comes next in the internet there have always been two places to go: university research labs and the porn industry. That’s been the case with webcams, chat rooms and so on. What we’re seeing playing out now are called “deep fakes,” which use artificial intelligence to create hyper-realistic videos and images. There’s also “madcoms,” which are hyper-realistic chat bots that make it seem like you’re talking to another person online. Combine the two, and the voices, the images, the information that we’ll increasingly see online might be fake, but hyper-realistic. The tools that militaries and tech companies are using to fight back against the AI-created deep fakes are other AI. So, the future of online conflict looks like it’ll be two AIs battling back and forth. Let me give you a historic parallel, because we’ve been dealing with these issues for a very long time. The first newspaper came when a German printer figured out a way to monetize his press’s downtime by publishing a weekly collection of news and advice. And in publishing the first newspaper, he created an entire industry, a new profession that sold information itself. And it created a market for something that had never before existed – but in creating that market, truth has often fallen by the wayside. One of the very first newspapers in America about a century later was called the New England Courant. It published a series of letters by a woman named Mrs. Silence Do-good. The actual writer of the letters was a 16-year-old apprentice at the newspaper named Benjamin Franklin, making him the founding father of fake news in America. In some sense it’s always been there, using deception and marketing to persuade people to your view.
Is AI taking over traditional procurement practices?
Artificial intelligence (AI) is everywhere. It’s taking questions from clients, running assembly lines and is now pretty much part of every appliance in every house and is also an integral part of industry. In fact, in the attached article, Joe McNamara, global director of IT for food giant Kraft-Heinz details how he has implemented AI as a vital source for manufacturing and procurement across his company. Recently, Ruomeng Cui an Assistant Professor in the Department of Information System and Operations Management at the Goizueta Business School, Emory University along with colleagues from Rutgers University and Tianjin University, authored a paper regarding how Artificial Intelligence will be playing an expanded role in areas like procurement and how it will increase accuracy and efficiency for businesses on a global scale. If you’re looking to learn more about this topic – then let us help with your questions or coverage. Ruomeng Cui investigates how operations strategies create value in digital retail and platform markets. Professor Cui is available to speak with media regarding this topic – simply click on her icon to arrange an interview.
Artificial Intelligence Playing a Powerful Role in Understanding and Fighting COVID-19
Artificial intelligence is emerging as a powerful new ally in tracking COVID-19, modeling the virus at the molecular level, and analyzing the myriad research results being published daily. James Hendler, the Tetherless World Professor of Computer, Web, and Cognitive Sciences at Rensselaer, and director of the Rensselaer Institute of Data Exploration and Applications, is leading campus efforts to marshal AI resources for the purpose of battling the virus. “The bottom line is that, at heart, dealing with COVID-19 is a ‘big data’ problem, and AI is a crucial tool in the big data toolkit,” Hendler said. For example, IDEA and the Rensselaer Libraries have collaborated to maintain lists of COVID-19-related data sources and scholarly research publications. AI is being used to translate literally thousands of scientific insights from text-based research products into forms that can more easily be analyzed. Hendler and other Rensselaer AI experts are also involved in studying the spread of the virus under different policy measures at the local, then state and national, and ultimately global scale. Additionally, Rensselaer is part of the national COVID-19 High Performance Computing Consortium, which is offering researchers access to supercomputers for COVID-19 research. In addition to AiMOS, the most powerful supercomputer housed at a private university, Rensselaer is offering access to the expertise of world-class faculty, including in artificial intelligence. Hendler said AiMOS is one of the few facilities that can truly offer a platform optimized for artificial intelligence computing. “AI has helped us achieve an excellent understanding of the coronavirus and its interactions at the molecular level. That’s going to make it possible not only to model the virus, but also how it will interact with potential drug targets and vaccines,” said Hendler. “A platform like AiMOS is invaluable for molecular modeling in drug discovery, helping scientists cope with a huge and rapidly changing literature, and exploring means to model, and then mitigate, the spread of the disease. These are the kinds of things that modern AI can do.” Hendler has authored over 400 books, technical papers and articles in the areas of Semantic Web, artificial intelligence, agent-based computing and high performance processing. One of the originators of the “Semantic Web,” Hendler is the former Chief Scientist of the Information Systems Office at the U.S. Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal. Among other organizations, he is a member of the National Academies Board on Research Data and Information, a fellow of the National Academy of Public Administration, and he serves as chair of the Association for Computing Machinery (ACM) U.S. technology policy committee.
Introducing AiMOS, The Most Powerful Supercomputer at a Private University
The most powerful supercomputer to debut on the November 2019 Top500 ranking of supercomputers, also the most powerful supercomputer in New York State, was recently unveiled at the Rensselaer Polytechnic Institute Center for Computational Innovations (CCI). Part of a collaboration between IBM, Empire State Development (ESD), and NY CREATES, the eight petaflop IBM POWER9-equipped AI supercomputer is configured to help enable users to explore new AI applications and accelerate economic development from New York’s smallest startups to its largest enterprises. AiMOS is: The most powerful supercomputer housed at a private university. The 24th most powerful supercomputer in the world. The third-most energy efficient supercomputer in the world. Named AiMOS (short for Artificial Intelligence Multiprocessing Optimized System) in honor of Rensselaer co-founder Amos Eaton, the machine will serve as a test bed for the New York State-IBM Research AI Hardware Center, which opened on the SUNY Polytechnic Institute (SUNY Poly) campus in Albany earlier this year. The AI Hardware Center aims to advance the development of computing chips and systems that are designed and optimized for AI workloads to push the boundaries of AI performance. AiMOS will provide the modeling, simulation, and computation necessary to support the development of this hardware. “The established expertise in computation and data analytics at Rensselaer, when combined with AiMOS, will enable many of our research projects to make significant strides that simply were not possible on our previous platform,” said Christopher Carothers, director of the CCI and professor of computer science at Rensselaer. “Our message to the campus and beyond is that, if you are doing work on large-scale data analytics, machine learning, AI, and scientific computing, then it should be running at the CCI.” Built using the same IBM Power Systems technology as the world’s smartest supercomputers, the US Dept. of Energy’s Summit and Sierra supercomputers, AiMOS uses a heterogeneous system architecture that includes IBM POWER9 CPUs and NVIDIA GPUs. This enables AiMOS with a capacity of eight quadrillion calculations per second. You can watch Rensselaer President Shirley Ann Jackson talk about AiMOS here: Chris Carothers is the director of the Center for Computational Innovations (CCI) at Rensselaer. He is available to speak with media about AiMOS and what it can enable – simply click on his icon to arrange an interview.
It's time to face the reality about the future of artificial intelligence
According to research from International Data Corporation, revenues for big data and business analytics solutions are forecasted to reach $260 billion in 2022. An increase in the use of artificial intelligence (AI) will result in $2.9 trillion of business value by 2030, according to a study by Gartner. “Progressive thinking businesses and organizations cannot afford to ignore the growing applications of artificial intelligence (AI) and data analytics,” says Michael Ratajczyk, the program director for B.A. and M.S. Business Intelligence and Data Analytics programs at Saint Mary’s University of Minnesota. “Sometimes machines can do it better than humans. As people say, machines don’t sleep, they don’t take vacation, they don’t get sick, and they don’t go on camping trips. They do what they’re told and a machine can do the work with far more precision — and without 20 years of training.” AI is here to stay, and it will be up to businesses and humans to adapt, adopt, and adjust to the future — especially in the areas of agriculture, transportation, and health care, where there is great potential for growth. “Businesses can’t afford to ignore AI to remain competitive, and students can’t afford to not keep up with AI trends either,” according to Ratajczyk. “Soon AI will be addressed in all business classes. It’s true that sometimes people can be replaced by machines, and that can be good for businesses and bad for employees. There will always be a need for those who can program AI software, and to prepare, analyze, interpret the data and, importantly, there needs to be a balance between technology and the human touch.” There’s a lot to learn about AI and how it will play a role in very near future. So, if you are a reporter covering this topic — then let our experts help. Michael Ratajczyk works with both undergraduate and graduate business intelligence and data analytics students at Saint Mary’s University. He’s an expert in the field and is available to help with any of your coverage or questions. To book an interview with Michael, simply click on his icon to arrange a time.
What Are IDC's Top 10 Canadian ICT Predictions for 2020? Attend our Webinar to Find Out
Watch a sneak preview video for our upcoming Canadian ICT Predictions 2020 Complimentary Webinar Wednesday Dec 4, 2019 12PM - 1PM EST The countdown leading up to our Canadian ICT Predictions 2020 is on. We're less than a week away from unveiling top 10 predictions that will impact the ability of Canadian organizations to compete and grow in 2020. We're excited to present what's next for Canadian technology to help you strategize for next three years and beyond. We'll cover fact-based predictions for AI, edge solutions and what technologies will be considered the norm for digital businesses. We'll also explore how automation will reshape the Canadian workforce, what's likely to happen with 5G, and much more. We'd love for you to join us live. Don't Miss Out! Register Today If Wednesday, December 4, 2019 doesn't work with your calendar, register now and we'll send you a link to watch the webinar replay.
This past October, the FCC began to explore opening up 1,200 megahertz of spectrum in the 6 GHz band for different types of unlicensed uses. This band is currently populated by microwave services that are used to support utilities, public safety, and wireless backhaul. Studies show that sharing this band with unlicensed operations is feasible—and can put massive amounts of new spectrum into the hands of consumers. Unlicensed innovator Claus Hetting of WI-FI NOW said, “This is without a doubt the single biggest opportunity in Wi-Fi—and probably in wireless—in a generation.” He added, “This 6 GHz spectrum boost will launch the Wi-Fi industry into a new growth trajectory.” Circuit Seed is aiming to have the best of both worlds: protect today’s incumbent users of the band while turbocharging the Wi-Fi networks and applications of the future. While this is good news for Wi-Fi, it will not work without adequate filtering to split this super wide frequency allocation into sub-bands. Ceramic filters will be able to do that, but it will be static. If an enterprise or a home wants smart frequency allocation with some ‘AI’ behind it, dynamic low loss filtering is a must. Circuit Seed’s 100% digital process for analog signal processing is an ideal solution for high performance filtering with low noise and low signal loss.
