Catch up on the latest advancements in AI. Choose a timeframe to explore the most recent updates and insights.
A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas. Travel agents help to provide end-to-end logistics — like transportation, accommodations, meals, and lodging
A new method can physically restore original paintings using digitally constructed films, which can be removed if desired. Art restoration takes steady hands and a discerning eye. For centuries, conservators have restored paintings by identifying areas needing repair, then mixing an exact
The LOBSTgER research initiative at MIT Sea Grant explores how generative AI can expand scientific storytelling by building on field-based photographic data. In the Northeastern United States, the Gulf of Maine represents one of the most biologically diverse marine ecosystems on the planet - home to whales, sharks, jellyfish, herring, plankton, and hundreds of other species.
Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education. Launched in February of this year, the MIT Generative AI Impact Consortium (MGAIC), a presidential initiative led by MIT’s Office of Innovation and Strategy and administered
FutureHouse, co-founded by Sam Rodriques PhD ’19, has developed AI agents to automate key steps on the path toward scientific progress. Several researchers have taken a broad view of scientific progress over the last 50 years and come to the same troubling conclusion: Scientific productivity is declining.
An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data. Marine scientists have long marveled at how animals like fish and seals swim so efficiently despite having different shapes.
CellLENS reveals hidden patterns in cell behavior within tissues, offering deeper insights into cell heterogeneity — vital for advancing cancer immunotherapy. In order to produce effective targeted therapies for cancer, scientists need to isolate the genetic and phenotypic characteristics of cancer cells, both within and across different tumors, because those differences impact how tumors respond to treatment.
A team of researchers has mapped the challenges of AI in software development, and outlined a research agenda to move the field forward. Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled code, migrating legacy systems, and hunting down race conditions, so that human engineers can devote themselves to architecture, design, and the genuinely novel problems still beyond a machine’s reach.