Latest News EnterpriseAIML
- MIT engineers develop a magnetic transistor for more energy-efficient electronics
- Building energy security through more sustainable batteries
- Daniela Rus receives Bavarian Minister-President's High-Tech Prize
- Connecting research to policy on Capitol Hill
- Why some nitrogen-processing enzymes are more efficient than others
- MIT and Broad Institute researchers break diffraction barrier in super-resolution microscopy
- How a medical database developed at MIT evolved into a global standard of data-sharing
- From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
- Professor Emeritus Robert Cohen, pioneering polymers researcher and devoted mentor, dies at 79
- Yu Deng ’11 and Hong Wang PhD ’19 awarded Fields Medal
- Making robots faster by helping them think ahead
- MIT engineers design recyclable elastic yarn
- Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction
- Looking beyond research
- MIT projects selected for funding under US Department of Energy’s Genesis Mission
- MIT student leaders: Q&A with men’s soccer captain Dilin Meloni
- Professor Emeritus Dimitri Bertsekas, influential computer scientist and prolific author, dies at 83
- Intelligence is Free, Now What? Data Systems for, of, and by Agents
- 2026 BAIR Graduate Showcase
- Healthcare Benchmarks Are Only as Good as Their Assumptions
- Pre-Training Isn’t Bitter Enough
- Teaching Vision-Language Models to Speak Cinema
- Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling
- Introducing ARFBench: A time series question-answering benchmark based on real incidents
- Carnegie Mellon at ICLR 2026
- Gradient-based Planning for World Models at Longer Horizons
- When Should AI Step Aside?: Teaching Agents When Humans Want to Intervene
- LumberChunker: Long-Form Narrative Document Segmentation
- Identifying Interactions at Scale for LLMs
- Carnegie Mellon at NeurIPS 2025
- Information-Driven Design of Imaging Systems
- Yes, AI, There is a Santa Claus
- Validating LLM-as-a-Judge Systems under Rating Indeterminacy
- How to Explore to Scale RL Training of LLMs on Hard Problems?
- Carnegie Mellon University at EMNLP 2025
- RL without TD learning
- Learning from Failure to Tackle Extremely Hard Problems
- Diffusion Beats Autoregressive in Data-Constrained Settings
- Verlog: A Multi-turn RL framework for LLM agents
- What exactly does word2vec learn?
- Whole-Body Conditioned Egocentric Video Prediction
- Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)
- Repurposing Protein Folding Models for Generation with Latent Diffusion
- Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment
- Virtual Personas for Language Models via an Anthology of Backstories