Latest News EnterpriseAIML
- MIT engineers develop a magnetic transistor for more energy-efficient electronics
- Fueling a return journey from Mars
- Meet the 2026 tenured professors in the School of Humanities, Arts, and Social Sciences
- MIT School of Engineering faculty and staff receive awards in spring 2026
- Understanding the world, from the Cold War to the age of AI
- Lincoln Laboratory summer research interns take on national security challenges
- Robotic lab sets up and runs optics experiments on demand
- Faces of MIT: Jay Wilcoxson
- “Technology is the equalizer”
- New artist residency program at MIT expands views of the cosmos
- Nanoscale mechanics could enable brain-inspired computing
- New AI technique could make minimally invasive surgeries safer and more precise
- Measure by measure, studying society accurately
- MIT startups inspire with impressive presentations at Demo Day 2026
- How MIT student communities help develop lifelong skills and connections
- 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