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Whenever March Madness takes place, it’s a sure bet that people will be wagering on the college basketball games leading up to the championship known as the Final Four. From office pools to online betting platforms to taking a crack at picking the perfect bracket, the allure of predicting game outcomes and potentially winning big

It has never been easier to place a bet. Once confined mostly to casinos concentrated in Las Vegas and Atlantic City, gambling has expanded to include ready access to lotteries and online games and video games with gambling elements for adults and children. Sports betting is now legal in 37 states plus Washington, DC, with

To build AI systems that can collaborate effectively with humans, it helps to have a good model of human behavior to start with. But humans tend to behave suboptimally when making decisions. This irrationality, which is especially difficult to model, often boils down to computational constraints. A human can’t spend decades thinking about the ideal

Health-monitoring apps can help people manage chronic diseases or stay on track with fitness goals, using nothing more than a smartphone. However, these apps can be slow and energy-inefficient because the vast machine-learning models that power them must be shuttled between a smartphone and a central memory server. Engineers often speed things up using hardware

Julie Shah ’04, SM ’06, PhD ’11, the H.N. Slater Professor in Aeronautics and Astronautics, has been named the new head of the Department of Aeronautics and Astronautics (AeroAstro), effective May 1. “Julie brings an exceptional record of visionary and interdisciplinary leadership to this role. She has made substantial technical contributions in the field of

How can MIT’s community leverage generative AI to support learning and work on campus and beyond? At MIT’s Festival of Learning 2024, faculty and instructors, students, staff, and alumni exchanged perspectives about the digital tools and innovations they’re experimenting with in the classroom. Panelists agreed that generative AI should be used to scaffold — not

The recent ransomware attack on ChangeHealthcare, which severed the network connecting health care providers, pharmacies, and hospitals with health insurance companies, demonstrates just how disruptive supply chain attacks can be. In this case, it hindered the ability of those providing medical services to submit insurance claims and receive payments. This sort of attack and other

Natural language understanding (NLU) can indeed significantly enhance the performance of large language models (LLMs) in various domains, including coding, planning, and robotics games. Here’s how NLU capabilities can benefit these areas: Coding Planning Robotics Games Benefits of NLU in LLMs Conclusion Natural language understanding enhances LLM performance across coding, planning, and robotics games by

Creating bespoke programming languages tailored for efficient visual AI systems in games involves designing languages that streamline the development process, optimize performance, and enhance the integration of AI capabilities. Here are key considerations and elements that such languages might incorporate: Key Considerations Elements of Bespoke Programming Languages Example Use Cases Benefits Conclusion Designing bespoke programming