Latest News EnterpriseAIML
- MIT engineers develop a magnetic transistor for more energy-efficient electronics
- MIT-led team receives funding to develop a wearable monitor for early disease detection
- Dream, build, destroy, repeat
- 3 Questions: Building more resilient minerals supply chains
- Featured video: Changing the conversation about endometriosis
- Building connections across the research infrastructure
- Lemelson-MIT brings invention education to classrooms from kindergarten to college
- Faces of MIT: Vera Grbic
- Jeffery Lim wants to open up cloud research
- Powering up for a pivotal moment
- A flexible new route to designer materials built from nanoparticles
- Regina Barzilay and Jim Collins win Pritzker Prize for AI and Science Research Excellence for work in AI-enabled antibiotic discovery
- MIT in the media: “Unpack My Cambridge" with President Sally Kornbluth
- MIT engineers design a safer, more efficient vaccination system for farmed fish
- MIT affiliates named 2026 Schmidt Sciences AI2050 Fellows
- Forking-Sequences — Part II: Multi-Horizon Forecast Ensembling with Reduced Volatility
- From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
- Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction
- 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
- 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