全部 AI 动态

Ila Kumar: Innovating with communities

The PhD student works to give young people an active role in shaping digital technologies that can support their own well-being.

Introducing Claude Fable 5.1 and Claude Mythos 5.1

MIT Quantum Initiative launches postdoctoral fellowship program

The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.

TimesFM-3: A zero-shot foundation model for multivariate forecasting

Data Management

GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models

What if pathology foundation models could do more with less? GigaPath-Flash and GigaTIME-Flash cut computational demands while maintaining strong performance, opening the door to larger studies and broader exploration. The post GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models appeared first on Microsoft Research .

The Open ASR Leaderboard Adds Its First Global South Language

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

Planetary prediction engine: Automating global models via Earth AI

Earth AI

Gemini Omni 1.1 Flash lets you build with more control

Piloting the world's first double-blind AI evaluations

Piloting the world's first double-blind AI evaluations

GlucoFM: Foundation model for continuous glucose monitoring

Health & Bioscience

Intelligent transcription with Gemini 3.5 Transcribe

Now you can get more intelligent speech-to-text transcription with Gemini 3.5 Transcribe.

Release: v5.16.0

Release v5.16.0 New Model additions Qwen4-Exp Qwen4-Exp builds on Qwen3.5's hybrid text and multimodal architecture with three key components: GatedResidual (GR), Qwen Sparse Attention (QSA), and Per-Layer Embedding (PLE). GR is a Qwen-developed residual architecture that combines Hyper-Connection with GatedNorm. It mixes multiple residual streams with fine-grained elementwise gating before each attention and Mixture-of-Experts (MoE) block, then controls how much of the block output is injected back into each stream. QSA uses multiple query heads to score compressed key blocks, selects the most relevant contiguous token blocks, and keeps the

Release v5.16.1

Release v5.16.1 This is a special release as we include GLM! (and a few small fixes) GLM-5.3-Flash GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks. GLM-5.3-Flash starts from a newly trained base model, with its architecture and training recipe redesigned around capability and efficiency. For the first time in the GLM series, we introduce a hybrid architecture combining sparse and linear attention, sharply r

AI helps design new materials that work in the real world

The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.

Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers

Granite 4.2 LLMs: How They're Built

Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original

Generating scenarios for extreme events, without extreme data

A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.

An AI tool for prioritizing candidate biomarkers from wearable sensor data

Generative AI

From Atari to EVE Online: Building on 15 Years of AI Research in Games

Google DeepMind partners with game studios to prototype breakthrough AI gameplay.

How mobility gives language models a deeper understanding of place

Algorithms & Theory

Measuring benchmark optimization in speech recognition

Paving the way for greener ammonia production

New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.

Broadening access to Skala creates a faster path to predictive DFT

Skala 1.1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the computational chemistry ecosystem, and a living benchmark to track computational performance. The post Broadening access to Skala creates a faster path to predictive DFT appeared first on Microsoft Research .

Patch release: v5.15.1

Patch release v5.15.1 This patch most notably solves a few issues with DFlash and MTP candidate generators, as well as an issue where images could sometimes not be processed on accelerator if using Lanczos filter. It contains the following commits: Fix DFlash candidate token device mismatch with device_map="auto" ( #47877 ) by @sywangyi and @Cyrilvallez Align logit distributions for CandidateGenerators using sampling ( #48007 ) by @Cyrilvallez Fix MTP config when mlp_layer_types is absent ( #48015 ) by @Cyrilvallez Fallback from 'lanczos' to 'bicubic' when on cuda ( #48026 ) by @zucchini-nlp Fix gemma4 video to device ( #47896 ) by @guarin

Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers

Q&A: Rethinking how innovation happens

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.

Seeing beyond BMI: Estimating cardiometabolic risk with smartphone imagery

General Science

Introducing Gemini 3.7 Flash