The Boston metropolitan area has established itself as a global epicenter for pharmaceutical innovation, consistently producing groundbreaking medications that transform patient care. However, the traditional model of manufacturing these drugs for clinical trials has historically relied on complex [more]
"Humanity's greatest challenge today involves decarbonizing the global economy by 2050. This demands an unprecedented decade of accelerated energy innovation," stated Ernest J. Moniz, the Cecil and Ida Green Professor of Physics and Engineering Systems Emeritus, founding director of the MIT Energy [more]
Renowned artificial intelligence and high-performance computing expert Jeremy Kepner has received the distinguished honor of being named a 2021 SIAM Fellow by the Society for Industrial and Applied Mathematics. This prestigious recognition celebrates Kepner's groundbreaking contributions to interac[more]
Tiny molecule medications combat numerous health conditions, yet their therapeutic impact frequently falls short due to pharmacokinetic challenges — essentially how the human body processes pharmaceutical compounds. Once introduced into the system, biological mechanisms determine absorption rates, [more]
MIT scientists have pioneered a groundbreaking form of neural network capable of learning in real-time, moving beyond traditional training-phase limitations. These innovative algorithms, known as "liquid" networks, dynamically modify their fundamental equations to seamlessly adjust to evolving data[more]
In an exciting development for technology enthusiasts and social innovators worldwide, MIT Solve officially kicked off its prestigious 2021 Global Challenges on March 1, offering an impressive prize pool exceeding $1.5 million for groundbreaking AI-driven solutions to global problems.
The initiativ[more]
When you're managing a multimillion-dollar satellite traveling through space at incredible speeds, ensuring its optimal performance is critical. This is where advanced artificial intelligence time series analysis becomes invaluable.
A time series represents sequential data points collected over con[more]
In a groundbreaking research brief from the MIT Task Force on the Work of the Future, titled "Artificial Intelligence and the Future of Work," distinguished scholars Thomas Malone, Daniela Rus, and Robert Laubacher examine the profound implications of artificial intelligence on tomorrow's employmen[more]
In today's rapidly evolving technological landscape, artificial intelligence systems, particularly deep learning neural networks, have become integral to decision-making processes that directly impact human wellbeing and security. From self-driving vehicles to medical diagnostics, these sophisticat[more]
In today's digital landscape, data generation continues to accelerate at an unprecedented pace. Recent projections indicate that global data creation will reach staggering levels, with estimates suggesting over 59 zettabytes produced annually—equivalent to filling approximately one trillion 64-giga[more]
