Artificial Intelligence Latest News

Explore the latest insights and updates from top sources in technology, artificial intelligence, and innovation. Our curated collection of RSS feeds brings you real-time content from renowned platforms, including OpenAI, Google, and more. Stay informed about the cutting-edge developments, research breakthroughs, and industry trends, all in one central hub.

Meta plans to automate many of its product risk assessments

An AI-powered system could soon take responsibility for evaluating the potential harms and privacy risks of up to 90% of updates made to Meta apps like Instagram and WhatsApp, according to internal documents reportedly viewed by NPR. NPR says a 2012 agreement between Facebook (now Meta) and the Federal Trade…

Elon dips from DOGE, and Silicon Valley enters the ‘find out’ stage

Elon Musk has officially announced he’s stepping down as a U.S. special government employee and the de facto head of the Department of Government Efficiency, better known as DOGE.  The move follows Musk’s cooling relationship with the Trump administration and slumping Tesla sales tied to his political advocacy. Despite his…

Your last opportunity to vote on the TechCrunch Disrupt 2025 agenda lineup

We’re thrilled by the overwhelming response to our call for speakers at TechCrunch Disrupt 2025, taking place October 27-29 at Moscone West in San Francisco. After a careful selection process, we’ve narrowed it down to 20 impressive finalists — 10 breakout sessions and 10 roundtables. Now it’s your turn to…

Perplexity’s new tool can generate spreadsheets, dashboards, and more

Perplexity, the AI-powered search engine gunning for Google, on Thursday released Perplexity Labs, a tool for subscribers to Perplexity’s $20-per-month Pro plan that can craft reports, spreadsheets, dashboards, and more. Perplexity Labs is available on the web, iOS, and Android, and coming soon to Perplexity’s apps for Mac and Windows.…

DeepSeek’s updated R1 AI model is more censored, test finds

Chinese AI startup DeepSeek’s newest AI model, an updated version of the company’s R1 reasoning model, achieves impressive scores on benchmarks for coding, math, and general knowledge, nearly surpassing OpenAI’s flagship o3. But the upgraded R1, also known as “R1-0528,” might also be less willing to answer contentious questions, in…

Building networks of data science talent

Through collaborations with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.

The sweet taste of a new idea

Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.

Google AI Blog - The latest research

Generative AI to quantify uncertainty in weather forecasting

Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives, from helping make routine decisions, like what to pack for a day’s activities, to informing urgent actions, for example, protecting people in the face of…

AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks

Posted by Urs Köster, Software Engineer, Google Research Time series problems are ubiquitous, from forecasting weather and traffic patterns to understanding economic trends. Bayesian approaches start with an assumption about the data's patterns (prior probability), collecting evidence (e.g., new time series data), and continuously updating that assumption to form a…

Computer-aided diagnosis for lung cancer screening

Posted by Atilla Kiraly, Software Engineer, and Rory Pilgrim, Product Manager, Google Research Lung cancer is the leading cause of cancer-related deaths globally with 1.8 million deaths reported in 2020. Late diagnosis dramatically reduces the chances of survival. Lung cancer screening via computed tomography (CT), which provides a detailed 3D…

Using AI to expand global access to reliable flood forecasts

Posted by Yossi Matias, VP Engineering & Research, and Grey Nearing, Research Scientist, Google Research Floods are the most common natural disaster, and are responsible for roughly $50 billion in annual financial damages worldwide. The rate of flood-related disasters has more than doubled since the year 2000 partly due to…

ScreenAI: A visual language model for UI and visually-situated language understanding

Posted by Srinivas Sunkara and Gilles Baechler, Software Engineers, Google Research Screen user interfaces (UIs) and infographics, such as charts, diagrams and tables, play important roles in human communication and human-machine interaction as they facilitate rich and interactive user experiences. UIs and infographics share similar design principles and visual language…

SCIN: A new resource for representative dermatology images

Posted by Pooja Rao, Research Scientist, Google Research Health datasets play a crucial role in research and medical education, but it can be challenging to create a dataset that represents the real world. For example, dermatology conditions are diverse in their appearance and severity and manifest differently across skin tones.…

MELON: Reconstructing 3D objects from images with unknown poses

Posted by Mark Matthews, Senior Software Engineer, and Dmitry Lagun, Research Scientist, Google Research A person's prior experience and understanding of the world generally enables them to easily infer what an object looks like in whole, even if only looking at a few 2D pictures of it. Yet the capacity…

HEAL: A framework for health equity assessment of machine learning performance

Posted by Mike Schaekermann, Research Scientist, Google Research, and Ivor Horn, Chief Health Equity Officer & Director, Google Core Health equity is a major societal concern worldwide with disparities having many causes. These sources include limitations in access to healthcare, differences in clinical treatment, and even fundamental differences in the…

Cappy: Outperforming and boosting large multi-task language models with a small scorer

Posted by Yun Zhu and Lijuan Liu, Software Engineers, Google Research Large language model (LLM) advancements have led to a new paradigm that unifies various natural language processing (NLP) tasks within an instruction-following framework. This paradigm is exemplified by recent multi-task LLMs, such as T0, FLAN, and OPT-IML. First, multi-task…

Talk like a graph: Encoding graphs for large language models

Posted by Bahare Fatemi and Bryan Perozzi, Research Scientists, Google Research Imagine all the things around you — your friends, tools in your kitchen, or even the parts of your bike. They are all connected in different ways. In computer science, the term graph is used to describe connections between…

Chain-of-table: Evolving tables in the reasoning chain for table understanding

Posted by Zilong Wang, Student Researcher, and Chen-Yu Lee, Research Scientist, Cloud AI Team People use tables every day to organize and interpret complex information in a structured, easily accessible format. Due to the ubiquity of such tables, reasoning over tabular data has long been a central topic in natural…

Health-specific embedding tools for dermatology and pathology

Posted by Dave Steiner, Clinical Research Scientist, Google Health, and Rory Pilgrim, Product Manager, Google Research There’s a worldwide shortage of access to medical imaging expert interpretation across specialties including radiology, dermatology and pathology. Machine learning (ML) technology can help ease this burden by powering tools that enable doctors to…

Social learning: Collaborative learning with large language models

Posted by Amirkeivan Mohtashami, Research Intern, and Florian Hartmann, Software Engineer, Google Research Large language models (LLMs) have significantly improved the state of the art for solving tasks specified using natural language, often reaching performance close to that of people. As these models increasingly enable assistive agents, it could be…

Croissant: a metadata format for ML-ready datasets

Posted by Omar Benjelloun, Software Engineer, Google Research, and Peter Mattson, Software Engineer, Google Core ML and President, MLCommons Association Machine learning (ML) practitioners looking to reuse existing datasets to train an ML model often spend a lot of time understanding the data, making sense of its organization, or figuring…

Google at APS 2024

Posted by Kate Weber and Shannon Leon, Google Research, Quantum AI Team Today the 2024 March Meeting of the American Physical Society (APS) kicks off in Minneapolis, MN. A premier conference on topics ranging across physics and related fields, APS 2024 brings together researchers, students, and industry professionals to share…

Microsoft Research Blog - The latest

What AI’s impact on individuals means for the health workforce and industry

Ethan Mollick and Azeem Azhar, thought leaders at the forefront of AI’s influence on work, education, and society, discuss the impact of AI at the individual level and what that means for the healthcare workforce and the organizations and systems in medicine. The post What AI’s impact on individuals means…

FrodoKEM: A conservative quantum-safe cryptographic algorithm

The recent advances in quantum computing offer many advantages—but also challenge current cryptographic strategies. Learn how FrodoKEM could help strengthen security, even in a future with powerful quantum computers. The post FrodoKEM: A conservative quantum-safe cryptographic algorithm appeared first on Microsoft Research.

Abstracts: Zero-shot models in single-cell biology with Alex Lu

The emergence of foundation models has sparked interest in applications to single-cell biology, but when tested in zero-shot settings, they underperform compared to simpler methods. Alex Lu shares insights on why more research on AI models is needed in biological applications. The post Abstracts: Zero-shot models in single-cell biology with…

Abstracts: Aurora with Megan Stanley and Wessel Bruinsma

A new Nature paper explores Aurora, an AI model that redefines weather prediction with application to other environmental domains such as tropical cyclones. Hear from senior researchers Megan Stanley and Wessel Bruinsma as they share their groundbreaking work. The post Abstracts: Aurora with Megan Stanley and Wessel Bruinsma appeared first…

Collaborators: Healthcare Innovation to Impact

In this discussion, Matthew Lungren, Jonathan Carlson, Smitha Saligrama, Will Guyman, and Cameron Runde explore how teams across Microsoft are working together to generate advanced AI capabilities and solutions for developers and clinicians around the globe. The post Collaborators: Healthcare Innovation to Impact appeared first on Microsoft Research.

Magentic-UI, an experimental human-centered web agent

Magentic-UI, new from Microsoft Research, is an open-source research prototype of a human-centered AI agent, designed to work with people to complete complex, web-based tasks in real time over a web browser. The post Magentic-UI, an experimental human-centered web agent appeared first on Microsoft Research.

Predicting and explaining AI model performance: A new approach to evaluation

ADeLe, a new evaluation method, explains what AI systems are good at—and where they’re likely to fail. By breaking tasks into ability-based requirements, it has the potential to provide a clearer way to evaluate and predict AI model performance. The post Predicting and explaining AI model performance: A new approach…

Abstracts: Heat Transfer and Deep Learning with Hongxia Hao and Bing Lv

Silicon has long borne the burden of heat transfer in electronics, but in a post-Moore’s Law world, researchers like Hongxia Hao and Bing Lv are using AI to discover and design next-generation materials that exceed the limits of silicon’s thermal conductivity. The post Abstracts: Heat Transfer and Deep Learning with…

Research Focus: Week of May 7, 2025

In this issue: New research on compound AI systems and causal verification of the Confidential Consortium Framework; release of Phi-4-reasoning; enriching tabular data with semantic structure, and more. The post Research Focus: Week of May 7, 2025 appeared first on Microsoft Research.

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