Scientists from the Massachusetts Institute of Technology have used machine learning to expedite calculations of transition states in chemical reactions, a process that could support the invention of new reactions and catalysts with applications in fuels, pharmaceuticals and understanding the origins of life. Using a method known as density functional theory to compute transition states…
Scientists at MIT have developed a machine learning-based technique for rapidly calculating the transition state of a chemical reaction, a step that was previously extremely time-consuming using traditional quantum chemistry methods. The transition state is a crucial yet fleeting phase in any reaction, marking the point where molecules have gained enough energy for a reaction…
Researchers at MIT have developed a new method that allows animators to have more control over their creations. Using mathematical functions called barycentric coordinates, they can now better control how 2D and 3D shapes stretch, move, and bend. Unlike traditional methods that only offered limited options for animation, this new method provides animators a level…
A new technique introduced by MIT researchers promises artists greater control over the animations of heroes and villains in animated movies and video games. The method generates barycentric coordinates - mathematical functions that define how 2D and 3D shapes can move, bend, and stretch in space. This allows an artist to shape the motion of…
Using artificial intelligence in the form of deep learning, researchers from MIT have discovered compounds capable of killing methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacteria that reportedly causes over 10,000 deaths in the U.S. each year. This breakthrough was achieved by training a deep learning model using predictive information based on antibiotic potency of a…
The transition of Reinforcement Learning (RL) from theory to real-world application has been hampered by sample inefficiency, especially in risky exploration environments. The challenges include a distribution shift between the target policy and the collected data, resulting in overestimation bias and an overly optimistic target policy. A new method proposed by researchers from Oxford University,…
The ongoing development and amalgamation of neurotechnology and artificial intelligence (AI) presents significant opportunities for modern innovation and has the potential to revolutionize healthcare, communication, and human augmentation.
Neurotechnology represents a series of tools and techniques used for interacting with the nervous system. It utilizes techniques such as functional MRI (fMRI) and electroencephalography (EEG) to…
Large Language Models (LLMs) have greatly advanced software development, helping automated code writing and ongoing improvement of programs. Recently, researchers from the National University of Singapore have devised a method to enhance the efficiency of software development through autonomous bug fixes and feature additions. Their approach, AutoCodeRover, combines the potential of advanced LLMs with code…
This article discusses the creation and impact of OSWorld, a revolutionary digital environment designed to enhance the development of autonomous computer agents. Developed by a team of researchers, this innovation brings us one step closer to creating a digital assistant capable of navigating a computer system independently, effectively performing tasks across multiple applications and operating…
Reinforcement Learning (RL) expands beyond its origins in gaming and finds innovative applications across various industries such as finance, healthcare, robotics, autonomous vehicles, and smart infrastructure.
In finance, RL algorithms are reinventing investment strategies and risk management by making sequential decisions, observing market conditions, and adjusting strategies based on rewards. Despite their potential, these algorithms struggle…