During a chemical reaction, molecules move towards a transition state, a high-energy state that dictates how the reaction will proceed. However, this transition state is difficult to predict and observe due to its fleeting nature. Traditionally, scientists use quantum chemistry methods like density functional theory to evaluate these transition states, though these calculations tend to…
MIT researchers have developed an approach based on machine learning that can calculate transition states of chemical reactions within seconds. The structures of these transition states, a temporary condition in the middle of a chemical reaction, can typically only be calculated using techniques based on quantum chemistry – a process that can be extremely time-consuming.…
In the field of biomedicine, segmentation refers to the process of highlighting important structures in a medical image, from organs to cells. Artificial intelligence (AI) models are starting to play a pivotal role in this task, but there are limitations with most existing models, mainly due to the fact that they are unable to factor…
A team at MIT, along with the Broad Institute of MIT and Harvard, and Massachusetts General Hospital, has developed an artificial intelligence (AI) tool that can help navigate the uncertainty in medical image analysis. The tool, named Tyche, provides multiple possible interpretations of a medical image rather than the single answer typically provided by AI…
MIT’s Stephen A. Schwarzman College of Computing has opened its new headquarters in Building 45, creating a hub for computing on campus. The building is considered a physical manifestation of the college's mission to fortify core computer science and AI, integrate computing throughout MIT, and advance the social, ethical and policy considerations of the discipline.
MIT…
The MIT Stephen A. Schwarzman College of Computing has recently inaugurated its new headquarters in Building 45, fostering a new hub of connectivity at MIT. The structure serves as a computing crossroads for the campus and aims to catalyze collaborations in computing, and houses research groups from multiple departments and labs.
Approximately 178,000 square feet in…
AWS recently connected with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global AI conference held in March 2024 in San Jose, California. During the conference, AWS and NVIDIA celebrated their 13-year collaboration, highlighting their ongoing efforts to enable developers access to cutting-edge AI technology, including AWS’s pioneering role in offering NVIDIA…
Businesses can automate the processing of vast quantities of various document formats using intelligent document processing (IDP) solutions powered by AI. These solutions categorize and extract insights from documents, reducing costs and errors and allowing for scalability. A significant aspect of IDP systems is document categorization, which guides the next steps based on the document…
Gobelins Paris, a prestigious French animation school, has admitted to using artificial intelligence (AI) in a student's art project, sparking controversy and online criticism. Several students launched the website YANJIN to showcase an art project featuring an interactive children's book aimed at educating kids aged seven to ten about bullying. However, French artists on social…
Speech synthesis—the technological process of creating artificial speech—is no longer a sci-fi fantasy but a rapidly evolving reality. As interactions with digital assistants and conversational agents become commonplace in our daily lives, the demand for synthesized speech that accurately mimics natural human speech has escalated. The main challenge isn't simply to create speech that sounds…
In the field of Artificial Intelligence (AI), "zero-shot" capabilities refer to the ability of an AI system to recognize any object, comprehend any text, and generate realistic images without being explicitly trained on those concepts. Companies like Google and OpenAI have made advances in multi-modal AI models such as CLIP and DALL-E, which perform well…
To improve the planning and problem-solving capabilities of language models, researchers from Stanford University, MIT, and Harvey Mudd have introduced a method called Stream of Search (SoS). This method trains language models on search sequences represented as serialized strings. It essentially presents these models with a set of problems and solutions in the language they…