Simpler models can outperform deep learning at climate prediction
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
Researchers studied air flow characteristics, sensor performance, and mitigation strategies within this complex subway system.
MIT master’s student and Brazilian diplomat Davi Augusto Oliveira Pinto wants to help policymakers make informed choices to improve people’s lives.
Storage systems from Cloudian, co-founded by an MIT alumnus, are helping businesses feed data-hungry AI models and agents at scale.
This new approach could lead to enhanced AI models for drug and materials discovery.
The flexible chip could boost the performance of current electronics and meet the more stringent efficiency requirements of future 6G technologies.
Language models follow changing situations using clever arithmetic, instead of sequential tracking. By controlling when these approaches are used, engineers could improve the systems’ capabilities.
The PhysicsGen system, developed by MIT researchers, helps robots handle items in homes and factories by tailoring training data to a particular machine.
Researchers developed a way to make large language models more adaptable to challenging tasks like strategic planning or process optimization.
In MIT's course 17.831 (Data and Politics), students are introduced to the power of analysis, visualization, and research-supported insight into political outcomes.
The approach collects multiple types of imaging and sequencing data from the same cells, leading to new insights into mouse liver biology.
The LOBSTgER research initiative at MIT Sea Grant explores how generative AI can expand scientific storytelling by building on field-based photographic data.
In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
MIT Advanced Vehicle Technology Consortium marks a decade of developing data that improve understanding of how drivers use and respond to increasingly sophisticated automotive features.
How experience with real-world problem-solving, combined with MIT Open Learning’s online resources and internship opportunities, solidified one Afghani learner’s career path.