Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 16, 202439Views0Likes0Comments
Researchers from MIT and the University of Basel in Switzerland have developed a new machine-learning framework that can map phase diagrams for novel physical systems automatically. By applying generative artificial intelligence models, the team has developed a more efficient method for tracking and understanding phase transitions in water and other complex physical systems, which offers…
The UK government-backed AI Safety Institute has launched a new tool called Inspect, aimed at enhancing the safety and accountability of Artificial Intelligence (AI) technologies. The software library is a significant innovation in AI technology and is expected to increase the robustness of AI safety assessments globally and promote cooperation in AI R&D.
As anticipated…
In the rapidly evolving field of data science, a host of tools are available for analysts and researchers to interpret data and develop strong machine learning models. Out of these, some are well-known and widely used, whereas others might not be as popular. Detailed here are ten major Python packages that can considerably enhance your…
Aerial robotics is an evolving field with significant improvements, particularly with the autonomous operation of Micro Aerial Vehicles (MAVs) during the night. Despite advancements, night operations still pose a complex challenge due to the inherent limitations of operating in low-light conditions. The focus here is on the integration of advanced sensing technologies and vision-based algorithms…
In the fields of traffic management and urban planning, understanding the most efficient routes based on multiple variables has significant potential benefits. This approach assumes that when individuals are choosing a route, they're trying to minimize certain costs such as travel time, comfort, tolls, and distance. Understanding these costs can help improve traffic flow and…
Transformers, an intricate form of modern artificial intelligence (AI), are at the heart of many key AI models that facilitate a variety of technological advances. However, as these tools grow in complexity, they begin to display unexpected behaviors that can prove challenging to anticipate and manage.
The unpredictable outputs of Transformer-based models are particularly problematic.…
Transformers play a pivotal role in contemporary artificial intelligence systems, supporting technological giants such as Gemini, Claude, Llama, GPT-4, and Codex. However, as the complexity and size of these models grow, they often display unpredictable and occasionally risky behaviors, posing a problem for their safe and reliable deployment.
The root of such challenges lies in the…
In 2019, Haofeng (Hector) Xu, a Ph.D. candidate at MIT's Department of Aeronautics and Astronautics, started learning to fly helicopters; a journey that inspired him to enhance the safety of helicopter flight. By 2021, he had founded an autonomous helicopter company called Rotor Technologies, Inc. Rotor Technologies aims to reduce the fatalities that occur in…