research

A study published on arXiv cs.CV investigates the faithfulness of post-hoc explanations for a pedestrian detection model across different domains.

A new corpus of annotated desktop observations, DeskForge, enables computer-use agents to achieve higher accuracy in complex desktop scenes.

Takeaways − DeBERTa-v3-small is a 44M-parameter English encoder with a 128K vocabulary from Microsoft Research. Uses ELECTRA-style replaced-token-detection training instead of masked language modeling for better sample efficiency.

arXiv, the preprint paper repository, is seeing so many low-quality submissions, with AI tools helping drive the surge, that it has imposed a hard limit of…

Some big AI companies seem to think that the best way to keep models from becoming too chaotic or too mischievous is to keep them locked inside of labs. If only a chosen few can access them, the thinking goes, they can do less damage in the real world while researchers try to understand what they’re capable of.

Toward provably private learning from federated data Toward provably private learning from federated data Katharine Daly, Software Engineer, and Daniel Ramage, Research Director, Google Research We announce a new Federated Learning system that provides externally verifiable privacy guarantees while shifting computation to the server to improve training speed, accuracy, and device coverage.

Local AI is becoming more useful by the token. As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to…

Language Discrimination Improves Linguistic Learning in Multilingual Speech Models - Apple Machine Learning Research research area Speech and Natural Language Processing content type paper published October 2026 Language Discrimination Improves Linguistic Learning in Multilingual Speech Models Authors Maureen de Seyssel, Jie Chi*, Zakaria Aldeneh* Multilingual self-supervised speech models can benefit from sharing information across languages, but under a matched total...

How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering? - Apple Machine Learning Research research area Methods and Algorithms content type paper published October 2026 How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?

Runway app for iPhone Runway app for Android An open-weight world action model that turns Runway's video pretraining into control for real robots. “Pick up the tennis ball and put it in the box.” Today we're announcing Praxis-1 , our first open-weight world action model.

Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the…

🎧 Audio version (or download audio for later): Good Morning, Dermot McGrath is an Irish entrepreneur and advisor based in Shanghai with over a decade…

On the Effectiveness-Fluency Trade-Off in LLM Conditioning: A Systematic Study - Apple Machine Learning Research research area Methods and Algorithms , research area Speech and Natural Language Processing conference EMNLP content type paper published September 2026 On the Effectiveness-Fluency Trade-Off in LLM Conditioning: A Systematic Study Authors Iuri Macocco†, Pau Rodríguez Lopez, Arno Blaas, Luca Zappella, Marco Baroni†*, Xavier Suau...

SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation - Apple Machine Learning Research research area Methods and Algorithms , research area Tools, Platforms, Frameworks content type paper published September 2026 SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation Authors Youngmok Jung, Sirajul Salekin, Henry Tran, Javier Movellan, Zhao Huang, Manjot Bilkhu Continual-learning agents are systems of models, harnesses,...

Salesforce, the #1 AI CRM, today announced it has signed a definitive agreement to acquire Listen Labs, an AI-powered customer research and human simulation…

At a glance Quine (opens in new tab) is a research effort to create a multimodal world model of biology and an interactive harness connecting models,…

The Communication Bottleneck: A Round-Trip Study of Tree-Structured Expression Serialization in Language Models - Apple Machine Learning Research research area Methods and Algorithms , research area Speech and Natural Language Processing conference NeurIPS content type paper published September 2026 The Communication Bottleneck: A Round-Trip Study of Tree-Structured Expression Serialization in Language Models Authors Xavier Suau, Alex Ferrando de las Morenas,...

On July 24, 2025, Microsoft Research Asia – Singapore (MSRA – Singapore) opened its doors as Microsoft’s first research lab in Southeast Asia.

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers.

Faster Rates for Federated Variational Inequalities - Apple Machine Learning Research research area Methods and Algorithms conference NeurIPS content type paper published September 2026 Faster Rates for Federated Variational Inequalities In this paper, we study federated optimization for solving stochastic variational inequalities (VIs), a problem that has attracted growing attention in recent years.

Good Morning, As Anthropic gets set for a $2 Trillion IPO in just over a month, it’s getting close to unleashing its version of RSI in biology, drug…

Automating coherent long-form video generation Automating coherent long-form video generation Yale Song and Yiwen Song, Research Scientists, Google We introduce a unified multi-agent framework that autonomously generates temporally consistent, long-form video narratives, overcoming the identity drift and cascading failures of current linear AI pipelines.

When COVID-19 emerged, scientists had a crucial advantage: Decades of prior research on coronaviruses meant they understood the virus’ key proteins well…

A Practical Recipe for Semi-Supervised Federated ASR: Online Pseudo-Labels with Server Update Stabilization - Apple Machine Learning Research research area Methods and Algorithms , research area Speech and Natural Language Processing content type paper published September 2026 A Practical Recipe for Semi-Supervised Federated ASR: Online Pseudo-Labels with Server Update Stabilization Authors Wonho Bae, Zakaria Aldeneh, Martin Pelikan, Jan “Honza” Silovsky,...

Compressing Streaming Neural Audio Encoders via Latent-Space Distillation - Apple Machine Learning Research research area Methods and Algorithms , research area Speech and Natural Language Processing content type paper published September 2026 Compressing Streaming Neural Audio Encoders via Latent-Space Distillation Authors Prasanth Yadla‡, Mohammad Samragh Razlighi‡, Dongseong Hwang, Mingbin Xu, Yuanyuan Zhang, Chung-Cheng Chiu, Yongqiang Wang†**, Yuan Liu§**, Zhen Huang,...

Challenging LLMs at the frontier of human knowledge HLE-Diamond, built with the Center for AI Safety (CAIS) , is a refined subset of Humanity’s Last Exam (HLE) resulting from a year-long process of cleaning and refinement with input from research communities.

Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS are our most expressive audio generation models yet. Generate custom character voices and direct scene dialogue across Google AI Studio, Gemini API, Gemini Enterprise, Gemini Notebook, and Google Vids.

Have you ever read a paper in Science or Nature and thought, “Man, that research was so cool.

At a glance We report on the recent publication of our retrosynthesis model RetroChimera in the journal Nature (opens in new tab).

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers.

Download this complimentary White Paper today! This White Paper gives data engineers and architects a practical overview of how parallel partitioned reads, write-path optimization, and cloud-native bulk loading reduce large-table replication times, and why replication speed has become a business concern as data volumes grow.

MilleMiglia: A realistic instance generator for middle-mile logistics MilleMiglia: A realistic instance generator for middle-mile logistics Aymane Lotfi, Software Engineer, Ads & Commerce, and Thibaut Cuvelier, Software Engineer, Google Research MilleMiglia bridges the gap between academic theory and industrial logistics by providing open-source, realistic benchmarks that allow researchers to optimize complex middle-mile networks, ultimately leading to more robust and efficient...

PLUS: OpenAI rescues biotech’s lost research Good morning, tech enthusiasts. Meta may have found the easiest way to make smart glasses less creepy: take out the camera.

New experts join Google’s AI & Economy team Nobel Laureate Philippe Aghion, Professor Ajay Agrawal, and leading researchers join Google’s AI & Economy program to expand our scientific understanding of AI’s impact on economic activity worldwide.

The future of practice: Enabling teachers to create learning interactives with generative UI The future of practice: Enabling teachers to create learning interactives with generative UI Gal Elidan, Research Scientist, and Yael Haramaty, Product Manager, Google Research We explore how we can harness generative UI with learning design guardrails to give teachers the ability to generate guided, interactive simulations for...

Download this complimentary White Paper today! This White Paper provides a comprehensive overview of how single-phase direct liquid cooling manages the rising thermal demands of AI and high-performance computing, and how it compares with two-phase and immersion approaches.

AI ChatGPT co-creator launches a new kind of AI PLUS: How to add models to Codex, Claude Code Good morning, AI enthusiasts, and welcome to our 4,056 new readers. Diogo Almeida helped build the methods that taught AI to talk to people — the research behind ChatGPT.

We’re moving beyond traditional text translation to build models that understand the world’s rich, living languages exactly as they are expressed. SVP, Research, Labs, Technology & Society Google is using AI to help people communicate in hundreds of languages, including those that were previously left out of technology.

Building AI to accelerate science and improve lives We’re asking what’s possible for health, natural disaster and weather resilience, learning, and economic opportunity. SVP, Research, Labs, Technology & Society Your browser does not support the audio element.

New insights from Google’s AI & Economy ATLAS New data visualizations make ATLAS data easier to explore and use, while new research provides insights on how scientists are using AI. AI & Economy Lead, Chief Economist's Office Head of StratOps and Special Projects, Technology & Society Your browser does not support the audio element.

Hey all! I’ve been prepping for some public-audience and policy-facing writing on open models, so I figured I would share my research materials.

ToolGrad: Efficient tool-use dataset generation with textual "gradients" ToolGrad: Efficient tool-use dataset generation with textual "gradients" Zhongyi Zhou, Research Scientist, and Ruofei Du, Interactive Perception & Graphics Lead, Google XR ToolGrad is a data generation framework that reverses the traditional paradigm by first generating tool-use answers before user queries. We show this design enables LLMs to achieve better tool-use performance.

Switzerland's first IBM Quantum System Two | IBM Quantum Computing Blog Switzerland will soon get its first IBM Quantum System Two Lockheed Martin and IBM are launching a Swiss quantum innovation hub at ETH Zurich to advance research, industry collaboration, and workforce development.

Cleveland Clinic, RIKEN, IBM named Gordon Bell finalists | IBM Quantum Computing Blog Cleveland Clinic, RIKEN, IBM named Gordon Bell finalists Finalist recognition for one of supercomputing’s top prizes arrives as researchers report new progress in automated quantum-HPC chemistry workflows. Cleveland Clinic, RIKEN, and IBM were named 2026 ACM Gordon Bell Prize finalists for breakthrough quantum-HPC chemistry research.

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers.

Providing developers the best model for the task at hand has always been our goal.

Transfer learning for genomic prediction in underrepresented populations Transfer learning for genomic prediction in underrepresented populations Joey Poomarin Phloyphisut, Software Engineer, and Cory McLean, Senior Staff Software Engineer, Google Research We evaluate ways to improve cross-population genetic risk prediction and find that while transfer learning from European cohorts improves prediction in small underrepresented populations, it degrades accuracy once target cohort...

A connectomics milestone: Mapping the complete male fruit fly brain A connectomics milestone: Mapping the complete male fruit fly brain Michał Januszewski and Viren Jain, Research Scientists, Google Research We partnered with HHMI Janelia and collaborators in Cambridge, U.K., to publish a complete map of the male fruit fly’s brain and central nervous system, creating the largest brain map to...

Mapping global methane emissions from space with deep learning Mapping global methane emissions from space with deep learning Vishal Batchu, Research Engineer, and Michelangelo Conserva, Research Scientist, Google Research The Methane Analysis and Plume Localization with EMIT model is a deep-learning framework that automates the detection, enhancement quantification, and source estimation of methane plumes globally, turning raw satellite data into...

At a glance The Flash family extends GigaPath and GigaTIME with dramatically improved efficiency, making large-scale pathology research more accessible and…

At a glance Skala 1.1 demonstrates the continuously improving nature of Microsoft Research’s deep-learning DFT approach: trained on 2.5× more data than…

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers.

Research Note: CARE-X is a research model and not a Microsoft product offering or medical device.

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers.

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers.

Artificial intelligence is already helping clinicians spot patterns in diagnostic images and detect signs of disease. But many of today’s pathology AI systems are built for a single task and must be rebuilt for each new application.

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers.

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers.

Congratulations to the Berkeley Artificial Intelligence Research (BAIR) Lab class of 2026! This year, BAIR celebrates another remarkable group of Ph.D.

As some of you know, I have the long-running habit of keeping a running list of research papers I want to read, revisit, or cite in future articles and…