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AI research papers and lab updates
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20 sources ↓Clearing up a robot’s fuzzy memory
Building connections across the research infrastructure
Powering up for a pivotal moment
Regina Barzilay and Jim Collins win Pritzker Prize for AI and Science Research Excellence for work in AI-enabled antibiotic discovery
MIT affiliates named 2026 Schmidt Sciences AI2050 Fellows
Q&A: Hey AI, who should I vote for this year?
3 Questions: Why infrastructure is entering a defining era
Making machines that can listen
Learner collaborates with MIT peers to develop book of AI insights
At New York Climate Week 2026, MIT connects with a global network
At MIT, Martha Minow speaks on sustaining democracy, both by using and overcoming AI
Reinforcing the value of human understanding at MIT
Q&A: How AI came to model the “messy” human mind
This design software reimagines everyday objects as self-aware devices
Why teaching AI about symmetry could make prenatal diagnosis more reliable
Giving AI a “crystal clear” view of the materials world
Fostering community amid Kendall Square’s innovation
State of Supply Chain Sustainability Report finds corporate commitment at record high, but governance lags behind
AI model decodes the language cells use to communicate
Researchers improve weather forecasts looking two to six weeks out
How artificial neural networks build their own learning machinery
Using AI to mitigate the growing environmental threat of data centers
Supercomputing researchers document evolution of AI hardware
Computational tools for society’s most complex challenges
New tool lets users repair AI-generated 3D models, then fabricate them just the way they want
This game-playing AI is the new champ at Stratego
The effects of an “algorithmic monoculture” depend on the details
Estimating suicide risk from text
New AI technique could make minimally invasive surgeries safer and more precise
New method enables AI for safety-critical situations
MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines
A Strange Quantum Theorem Has Killed Einstein’s Reality
New Research Tests Whether AI Models Know Their Own Thoughts
Is There Anything Left in the Dream of Cold Fusion?
Is There More to Cold Fusion Than Failure and Fraud?
A New Map of ‘Empty’ Space Challenges a Tranquil Picture of the Galaxy
How Do You Take a Picture of a Black Hole?
How Spiders Spin ‘Silk Dope’ Into Nature’s Toughest Material
How Voting Is Like a Klein Bottle
Malaria Parasite Caught in the Act of Breaking and Entering
See Inside Cells Like Never Before in These Vivid Microscopic Images
AI Proved the Quasi-Riemann Hypothesis. What Happens Now?
He Wants AI Benchmarking To Be a Science, Not a Dark Art
How Do Fungi Keep the Planet Healthy?
Triplet of ‘Ghostly’ Galaxies Hints at What Dark Matter Is — and Isn’t
Is ‘Attention’ the Essence of Intelligence?
How Does Life Unfold? A Landscape Metaphor Comes Into Its Own.
As AI Closed In on ‘Unique Games’ Proof, Researchers Raced to Beat the Machines
Is AI the End of Math As We Know It?
Sea Monkeys Show Scientists How To Rewrite a Rule of Turbulence
What Does the Fourth Dimension Actually Look Like?
ToyBlocks: A controlled world for robot learning and evaluation
Ai2 and Google collaborate on a new generation of climate models
StateBench: Testing how language models track state changes over long documents
How Olmo 3 earned the highest ethical rating from Nextcloud
How researchers are adapting olmOCR 2 for historical and archaeological archives
Can we trust LLMs to judge whether a research idea is novel?
LitPivot: Developing research ideas through dynamic contextualization within the literature landscape
OlmoEarth v1.3: State-of-the-art embeddings for the whole planet
A crop-mapping benchmark for the tropics
FairStress: A deeper evaluation of fairness in LLM decision-making
HiRO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost
How Molmo 2’s open release helped an MIT researcher rethink fish tracking
Ai2 at COLM 2026: Open research, from models to agents for science
Impactful scheduling for GPU clusters
Now in Nature: Retrofitting language models to operate over bytes
Open-sourcing AstaBrief, the fast report-generation model in Asta
Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs
What a crowdsourced game revealed about steering Olmo 3
Teaching future scientists to interrogate AI tools for scientific discovery
How Goodfire used Ai2’s open post-training stack to trace unwanted model behavior
Tight Lower Bounds under Matched High-Order H\"older Smoothness and Uniform Convexity
Towards Efficient Whole Page Ranking with One-Pass Inference
Generalized Hyperrectangular Prediction Sets in Multivariate Conformal Prediction
A Unified Framework for Training-Dataset Aggregation and Exact Machine Unlearning via Gibbs Probability Measures
Support Vector Machines Directly Minimise KL Divergence
Near-Minimax Sample Complexity for Multi-Objective Reinforcement Learning under Generative Models
Transport along Local Annealing Paths: Wasserstein Geometry and Multimodal Sampling
Exact signal recovery from generative priors with sigmoid output activation
From Type to Token: Petri Nets, Individual Token Philosophy, and Individualized Causal Effects
Balance-Guided Forest for Causal Effect Estimation
Generative Modeling for Cascading Extremes via Autoregressive Transformers
Discovering like a scientist: Literature-informed dimensionless learning for physical closure of data-driven equations
Towards the Query Complexity of Sampling under Strong Log-Concavity and Log-Sobolev Inequalities
A low-rank decoder bottleneck bounds reliability in foundation-model perturbation prediction
Prior-data fitted networks for variable selection
Offline Learning of Reserve Prices from Censored Bids
Separation Is a Riesz Energy: How Many Environments Does ICA Need?
Risk-Sensitive Non-Parametric and Kernel Bandits
TestBED: An Open-Source Toolkit for Bayesian Experimental Design
Alignment Myopia in Generative AI
SteelAgent: LLM-Orchestrated, Physics-Informed Steel Property Prediction with Audited Generalization and Calibrated Uncertainty
Octopus: One Brain, Many Branches for Latent-KV Multi-Agent Reinforcement Learning
Uncertainty calibration in Bayesian M/EEG source imaging
Big Models, Small Gains: Frozen Forecasters as Classifiers on MONSTER
Robust Stream Classification using Time Neutralising Decision Trees
LowRAM: Low-Rank Keys and Amortised Values for Composable KV Cache Compression at Test-Time
Stochastic Dynamics of Generative AI: From Autoregressive Models to Interacting LLM Networks and Neural SDEs
Finite-Time Convergence and Regret Guarantees for Neural Reinforcement Learning in POMDPs
Shaping & Monitoring Models through their Internal Representations
Optimistic Hedge in General-Sum Games: Fundamental Limits and Regret Bounds via Temporal Approximation
Server-Side Sparse Assignment for Federated Mixture-of-Experts
A Night at the LLM Zoo: Data Conditioned Flow Matching for Generating Pretrained LLM Weights
Regulating Autonomous Mobility-on-Demand Operators with Fixed and Adaptive Penalties: A Multi-Agent Reinforcement Learning Approach
Machine Learning for Live-Birth Prediction After IVF/ICSI From Structured Clinical Data: A Systematic Review, Meta-Analysis, and Critical Appraisal
Data-Driven Modeling of Molten Chloride Corrosion Using Static Test Data
Scalable Bayesian Gaussian Process Classification for Cancer Histopathology: Calibrated Uncertainty Under Distribution Shift
Teaching Agents the "Principle", Not the "Reward"
Depth or Description? When a One-Step Latent Score Replaces Lookahead in Proactive Information Acquisition
A Survey of Nonlinear Filtering Methods for Data Assimilation and Recent Advances in Generative AI-Enabled Score Filters
Structural Conditional Independence Test via Neural Quantile Resolution
These AI agents design your perfect robot-powered lab — and run it for you
‘Mathematics is more than a mechanical process’ — why I think the field will survive OpenAI’s disruption
A gait foundation model for prediction of multisystem health phenotypes from 3D skeletal motion
Effective enzyme engineering through modeling kinetic parameter changes upon mutations with geometric deep learning
Biological foundation models
Making AI approachable, one byte at a time
AI agents enter the ‘wet lab’
AI agents run this automated biology lab that sequences DNA and more
An open structure-guided RNA foundation model for generalizable prediction
RobPicker: a meta-learning framework for robust identification of macromolecules in cryo-electron tomograms
Universities must measure learning, both with and without AI assistance
Visual LLM-guided consensus spatial domain detection with L-STAR
Limitations of de novo peptide sequencing in resolving sequence ambiguity
A document classification benchmark dataset on cybersecurity policy domain
Building a pre-trained model for single-cell multi-omics analysis beyond highly variable feature selection
Genome-anchored foundation model embeddings improve molecular prediction from histology images
Re-timing mortality risk through individualized modelling of lifespan trajectories
AI-driven discovery and engineering of human-derived protein scaffolds for mRNA delivery
IDPForge: deep learning of proteins with global and local regions of disorder
Applying digital twins to prevent preterm births
Gemini Omni 1.2 Flash: Fast and cost-effective with longer clips
Agentic cheminformatics with Google Antigravity
Speeding up planning decisions with AI
Gemini 4 Carbon: Our next frontier model
Genie 4: A new generation of world simulation
Beyond tree cover: mapping the world’s forest types
Accelerating the search for antimicrobial peptides with Google Antigravity
Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection
Developing Gemini 4 Argon responsibly and safely
Gemini 4 Argon for Robotics
Gemini 4 Argon: Built to solve your hardest problems
EmbeddingGemma 2: an open, lightweight multimodal embedding model
Gemini 4 Argon: our next era of frontier intelligence
Introducing SynthID Bio
Introducing Gemini 3.8 Live with Live Avatar
Advancing Private AI Compute with secure, server-side memory
Gemini 3.8 text-to-speech says hello
Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking
AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome
Introducing WeatherNext 3, our most advanced and accurate global weather AI model
Detecting signs of hypertension using wearable sensors
Agile Deliberation: How AI helps humans define the gray areas
The sleep framework: A new way for LLMs to retain knowledge in continual learning
Bringing foundational models to the front lines of TB screening
Empowering frontline maternal care with AI-assisted ultrasound
Grounding AI agents in biological reality: Building blocks for autonomous wet labs
Analyzing technical documents with Deep Review
Putting Earth AI to work: Geospatial agents for our planet's biggest challenges
Research@ 2026: 10 ways we're amplifying human ingenuity
Does better work always mean better workers?
Unlocking Earth AI’s planetary geospatial foundation models for global public health
Open and Emergent Problems in Agentic Privacy and Security: A Contextual Angle
Toward provably private learning from federated data
How Diffusion Controller unifies and simplifies AI image generation
Automating coherent long-form video generation
MilleMiglia: A realistic instance generator for middle-mile logistics
The future of practice: Enabling teachers to create learning interactives with generative UI
Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train
ToolGrad: Efficient tool-use dataset generation with textual "gradients"
Transfer learning for genomic prediction in underrepresented populations
Formally verifying agent-written full-stack web apps with PDD Kit
Learn the rules: The hacker mindset
From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence
Microsoft Research Focus – Edition #97
Flint-interactive: A language for creating interactive data visualizations
Solving a 31-year-old grand challenge in mathematics – the KLS conjecture
Called to serve: Tech, research, and positive impact
Proof-based general-purpose computing with Magnetar
Simulating student learning for better AI tutoring
Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses
What AI gets wrong and what failure teaches us
Forecasting space weather risks on power grids
Introducing Quine: An AI research system designed for the complexity of biology
One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact
Offloaded inference for real-world physical AI robotics
Improving synthesis prediction of small molecules at scale with RetroChimera
GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models
Broadening access to Skala creates a faster path to predictive DFT
MindTopo reveals VLMs’ spatial reasoning abilities
Hamed Karimi wins ECML PKDD Test-of-Time Award
Speeding up language models for travel applications
Better speech synthesis for audiobooks
The science behind TorchNeuron, Amazon’s new PyTorch backend for AWS Trainium chips
Strengthening AI safety evaluation through independent third-party review
Can we change an AI model’s architecture without retraining it from scratch?
Graph-centric agentic intelligence
A kernel-centric path to real-time video generation on Trainium
Amazon launches research initiative with Stanford University to advance AI and science
Advancing AI for biology: Teaching models to design and characterize antibodies
Why don’t machine learning research agents overfit?
Developing provably correct Rust code with Verus
When LLM judges agree, should we believe them?
SOP-Bench: A new benchmark for evaluating AI agents on real business procedures
A decade of mathematical certainty: Reflections on the Automated Reasoning Group
Statement: The pro-human movement is winning
Statement: We must pressure AI companies to immediately limit the use of recursive self improvement
Government leaders call for treaty negotiations on autonomous weapons to begin in November
Statement: World leaders at the UN call to rein in superintelligence race
AI and the Protestant Vision of Spirituality, Work, and Technology
Faster Retrieval for Better, More Efficient RAG
Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live iOS Apps
GHARP: Real-Time Gaussian Head Animation from Large-Scale Reconstruction Prior
Local and Distributed Large LLM Inference with MLX and RDMA on Mac Studio
Plan or Retrieve First? A Scale Study of Tool Discovery Architectures
Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents
Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models
The Design Space of Tri-Modal Masked Diffusion Models
Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings
Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon Devices
Large Language Models for Machine Translation Quality Annotation: Humans and Models Are Both Challenged
Self-Compacting Language Model Agents
Normalizing Trajectory Models
RISED: Rubrics for Agentic Multi-Environment Selection and Self-Distillation
Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems
Language Discrimination Improves Linguistic Learning in Multilingual Speech Models
Limits of Confidence in Diffusion
How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?
RLTL;DR: Self-Improvement by Internalizing Self-Generated Feedback
On the Effectiveness-Fluency Trade-Off in LLM Conditioning: A Systematic Study
What We Learned Trying to Catch AI Liars: An Aletheia's Quest Retrospective
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