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Many attempts have been made to harness the power of new artificial intelligence and large language models (LLMs) to try to predict the outcomes of new chemical reactions. These have had limited success, in part because until now they have not been grounded in an understanding of fundamental physical principles, such as the laws of […] The post A new generative AI approach to predicting chemical reactions appeared first on MIT Schwarzman College of Computing.| MIT Schwarzman College of Computing
If your hand lotion is a bit runnier than usual coming out of the bottle, it might have something to do with the goop’s “mechanical memory.” Soft gels and lotions are made by mixing ingredients until they form a stable and uniform substance. But even after a gel has set, it can hold onto “memories,” or […] The post Soft materials hold onto “memories” of their past, for longer than previously thought appeared first on MIT Schwarzman College of Computing.| MIT Schwarzman College of Computing
Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without containing any information from real-world sources. While concrete numbers are hard to pin down, some estimates suggest that more than 60 percent of data used for AI applications in 2024 was synthetic, and this figure is expected to grow […] The post 3 Questions: The pros and cons of synthetic data in AI appeared first on MIT Schwarzman College of Computing.| MIT Schwarzman College of Computing
Every year, global health experts are faced with a high-stakes decision: Which influenza strains should go into the next seasonal vaccine? The choice must be made months in advance, long before flu season even begins, and it can often feel like a race against the clock. If the selected strains match those that circulate, the […] The post MIT researchers develop AI tool to improve flu vaccine strain selection appeared first on MIT Schwarzman College of Computing.| MIT Schwarzman College of Computing
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger models are not always better. The team demonstrates that, in certain climate scenarios, much simpler, physics-based models can generate more accurate predictions than state-of-the-art deep-learning models. Their […] The post Simpler models can outperform deep learning at climate prediction appea...| MIT Schwarzman College of Computing
Back in the 17th century, German astronomer Johannes Kepler figured out the laws of motion that made it possible to accurately predict where our solar system’s planets would appear in the sky as they orbit the sun. But it wasn’t until decades later, when Isaac Newton formulated the universal laws of gravitation, that the underlying […]| MIT Schwarzman College of Computing
The MIT Schwarzman College of Computing is leveraging existing resources, launching new activities and programs, and infusing MIT with exceptional talent in computing.| MIT Schwarzman College of Computing
MIT researchers have developed a reconfigurable antenna that dynamically adjusts its frequency range by changing its physical shape, making it more versatile for communications and sensing than static antennas. A user can stretch, bend, or compress the antenna to make reversible changes to its radiation properties, enabling a device to operate in a wider frequency […] The post A shape-changing antenna for more versatile sensing and communication appeared first on MIT Schwarzman College of C...| MIT Schwarzman College of Computing
Is this movie review a rave or a pan? Is this news story about business or technology? Is this online chatbot conversation veering off into giving financial advice? Is this online medical information site giving out misinformation? These kinds of automated conversations, whether they involve seeking a movie or restaurant review or getting information about […] The post A new way to test how well AI systems classify text appeared first on MIT Schwarzman College of Computing.| MIT Schwarzman College of Computing
The cost of solar panels has dropped by more than 99 percent since the 1970s, enabling widespread adoption of photovoltaic systems that convert sunlight into electricity. A new MIT study drills down on specific innovations that enabled such dramatic cost reductions, revealing that technical advances across a web of diverse research efforts and industries played […] The post Surprisingly diverse innovations led to dramatically cheaper solar panels appeared first on MIT Schwarzman College of ...| MIT Schwarzman College of Computing
Any motorist who has ever waited through multiple cycles for a traffic light to turn green knows how annoying signalized intersections can be. But sitting at intersections isn’t just a drag on drivers’ patience — unproductive vehicle idling could contribute as much as 15 percent of the carbon dioxide emissions from U.S. land transportation. A […]| MIT Schwarzman College of Computing
Scientists often seek new materials derived from polymers. Rather than starting a polymer search from scratch, they save time and money by blending existing polymers to achieve desired properties. But identifying the best blend is a thorny problem. Not only is there a practically limitless number of potential combinations, but polymers interact in complex ways, […]| MIT Schwarzman College of Computing
In an office at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), a soft robotic hand carefully curls its fingers to grasp a small object. The intriguing part isn’t the mechanical design or embedded sensors — in fact, the hand contains none. Instead, the entire system relies on a single camera that watches the robot’s […]| MIT Schwarzman College of Computing
AI image generation — which relies on neural networks to create new images from a variety of inputs, including text prompts — is projected to become a billion-dollar industry by the end of this decade. Even with today’s technology, if you wanted to make a fanciful picture of, say, a friend planting a flag on […]| MIT Schwarzman College of Computing
Is Business Broken?: The High Stakes of the AI Economy| MIT Schwarzman College of Computing
When ChatGPT or Gemini give what seems to be an expert response to your burning questions, you may not realize how much information it relies on to give that reply. Like other popular generative artificial intelligence (AI) models, these chatbots rely on backbone systems called foundation models that train on billions, or even trillions, of […]| MIT Schwarzman College of Computing
Marine scientists have long marveled at how animals like fish and seals swim so efficiently despite having different shapes. Their bodies are optimized for efficient, hydrodynamic aquatic navigation so they can exert minimal energy when traveling long distances. Autonomous vehicles can drift through the ocean in a similar way, collecting data about vast underwater environments. […]| MIT Schwarzman College of Computing
Facilitating the development of responsible “habits of mind and action” for those who create and deploy computing technologies and fostering the creation of technologies in the public interest.| MIT Schwarzman College of Computing