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.
Google denies AI search features are killing website traffic
Though Google hasn't shared any specific data to back up its conclusions, even if we assume Google's claims to be true, this doesn't necessarily mean that AI isn't having an impact.
First impressions of Alexa+, Amazon’s upgraded, AI-powered digital assistant
To find out whether Alexa is still the best smart assistant for my family, I'm going to test Amazon's AI-powered devices, experiment with AI queries, and write out my thoughts in a multi-part series.
Google takes on ChatGPT’s Study Mode with new ‘Guided Learning’ tool in Gemini
Google is also offering students in the U.S., Japan, Indonesia, Korea, and Brazil a free one-year subscription to its AI Pro plan.
OpenAI is practically giving ChatGPT to the government for free
GSA Federal Acquisition Service commissioner Josh Gruenbaum in a statement encouraged “other American AI technology companies to follow OpenAI’s lead and work with us.”
Google’s AI coding agent Jules is now out of beta
Powered by Gemini 2.5 Pro, Jules is an asynchronous, agent-based coding tool that integrates with GitHub, clones codebases into Google Cloud virtual machines, and uses AI to fix or update code while developers focus on other tasks.
Payment platform Lava raises $5.8M to build digital wallets for the ‘agent-native economy’
Lava is a digital wallet that lets merchants use credits to facilitate transactions.
Tavily raises $25M to connect AI agents to the web
The one-year-old startup raised a Series A led by Insight Partners.
Cohere’s new AI agent platform, North, promises to keep enterprise data secure
Canadian AI firm Cohere aims to alleviate data privacy concerns with its new AI agent platform, North, which can be deployed privately so that enterprises and governments can keep their, and their customers', data safe behind their own firewalls.
Two arrested for smuggling AI chips to China — Nvidia says no to kill switches
The U.S. Department of Justice (DOJ) said on Tuesday that two Chinese nationals have been arrested for their alleged involvement in illegally shipping "tens of millions of dollars" worth of high-performance AI chips to China.
Final call: TechCrunch Disrupt 2025 ticket savings end tonight
TechCrunch Disrupt 2025 marks 20 years of shaping the startup world — and tonight’s your last chance to save up to $675 on your ticket. From October 27–29, Disrupt returns to Moscone West in San Francisco. Join 10,000+ tech innovators, founders, VCs, and ecosystem builders for three days of high-impact…
Microsoft brings OpenAI’s smallest open model to Windows users
Microsoft will bring OpenAI's new free and open GPT model, gpt-oss-20b, to Windows 11 users via Windows AI Foundry, its platform that lets users tap AI features, APIs, and popular open source models on their computers.
Qwant and Ecosia debut Staan, a European search index that aims to take on Big Tech
European search engines Qwant and Ecosia said on Wednesday that they have both started serving search queries through an index they developed together, Staan, that aims to be a cheaper, more privacy-focused alternative to Google and Bing.
Clay confirms it closed $100M round at $3.1B valuation
The AI sales automation startup raised fresh funds, led by CapitalG, just months after its last round.
For the first time, OpenAI models are available on AWS
This is a juicy competitive move for both companies after AWS faced an onslaught of criticism over its progress with AI.
OpenAI launches two ‘open’ AI reasoning models
For the first time in more than five years, OpenAI is launching a new open language model that appears to be state of the art.
Some people are defending Perplexity after Cloudflare ‘named and shamed’ it
In a debate likely to get louder as AI agent usage grows, some people say Perplexity crawling blocked websites isn't a simple matter.
The EU AI Act aims to create a level playing field for AI innovation: Here’s what it is
The European Union’s Artificial Intelligence Act, known as the EU AI Act, has been described as “the world's first comprehensive AI law” by the European Commission.
Google’s NotebookLM is now available to younger users as competition in the AI education space intensifies
The removal of age restrictions is intended to provide younger students with access to the AI research tool, allowing them to better understand their class materials.
Three weeks after acquiring Windsurf, Cognition offers staff the exit door
Cognition is also laying off 30 employees. Those who don't take the buyout are expected to work 80+ hour weeks.
ElevenLabs launches an AI music generator, which it claims is cleared for commercial use
The AI audio-generation unicorn ElevenLabs announced the launch of a new model that allows users to generate music that's cleared for commercial use.
Helping data storage keep up with the AI revolution
Storage systems from Cloudian, co-founded by an MIT alumnus, are helping businesses feed data-hungry AI models and agents at scale.
AI helps chemists develop tougher plastics
Researchers created polymers that are more resistant to tearing by incorporating stress-responsive molecules identified by a machine-learning model.
New algorithms enable efficient machine learning with symmetric data
This new approach could lead to enhanced AI models for drug and materials discovery.
Robot, know thyself: New vision-based system teaches machines to understand their bodies
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
New machine-learning application to help researchers predict chemical properties
ChemXploreML makes advanced chemical predictions easier and faster — without requiring deep programming skills.
Scientists apply optical pooled CRISPR screening to identify potential new Ebola drug targets
Combining powerful imaging, perturbational screening, and machine learning, researchers uncover new human host factors that alter Ebola’s ability to infect.
A new way to edit or generate images
MIT researchers found that special kinds of neural networks, called encoders or “tokenizers,” can do much more than previously realized.
The unique, mathematical shortcuts language models use to predict dynamic scenarios
Language models follow changing situations using clever arithmetic, instead of sequential tracking. By controlling when these approaches are used, engineers could improve the systems’ capabilities.
Model predicts long-term effects of nuclear waste on underground disposal systems
The simulations matched results from an underground lab experiment in Switzerland, suggesting modeling could be used to validate the safety of nuclear disposal sites.
This “smart coach” helps LLMs switch between text and code
The CodeSteer system could boost large language models’ accuracy when solving complex problems, such as scheduling shipments in a supply chain.
New tool gives anyone the ability to train a robot
MIT engineers designed a versatile interface that allows users to teach robots new skills in intuitive ways.
Can AI really code? Study maps the roadblocks to autonomous software engineering
A team of researchers has mapped the challenges of AI in software development, and outlined a research agenda to move the field forward.
Simulation-based pipeline tailors training data for dexterous robots
The PhysicsGen system, developed by MIT researchers, helps robots handle items in homes and factories by tailoring training data to a particular machine.
Gift from Dick Larson establishes Distinguished Professorship in Data, Systems, and Society
Sasha Rakhlin, a professor in IDSS and brain and cognitive sciences, has been named the inaugural holder of the new professorship.
AI shapes autonomous underwater “gliders”
An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.
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
Self-adaptive reasoning for science
Microsoft is pioneering a vision for a self-adapting AI system that can adapt to the dynamic nature of scientific discovery, promoting deeper, more refined reasoning in complex scientific domains. The post Self-adaptive reasoning for science appeared first on Microsoft Research.
VeriTrail: Detecting hallucination and tracing provenance in multi-step AI workflows
VeriTrail, new from Microsoft Research, can detect AI-generated content that is not supported by the source text, trace the provenance of content from final output back to the source, and locate where errors were likely introduced. The post VeriTrail: Detecting hallucination and tracing provenance in multi-step AI workflows appeared first…
Project Ire autonomously identifies malware at scale
Designed to classify software without context, Project Ire replicates the gold standard in malware analysis through reverse engineering. It streamlines a complex, expert-driven process, making large-scale malware detection faster & more consistent. The post Project Ire autonomously identifies malware at scale appeared first on Microsoft Research.
Navigating medical education in the era of generative AI
Next-generation physicians Morgan Cheatham and Daniel Chen discuss how generative AI is transforming medical education, exploring how students and attending physicians integrate new tools while navigating questions on trust, training, and responsibility. The post Navigating medical education in the era of generative AI appeared first on Microsoft Research.
Xinxing Xu bridges AI research and real-world impact at Microsoft Research Asia – Singapore
Xinxing Xu is helping shape the work of Microsoft Research Asia – Singapore by turning advanced AI research into real-world solutions. Learn how he collaborates across sectors and disciplines to drive responsible innovation throughout Southeast Asia. The post Xinxing Xu bridges AI research and real-world impact at Microsoft Research Asia…
Technical approach for classifying human-AI interactions at scale
Semantic Telemetry helps LLMs run efficiently, reliably, and in near real-time. Learn about the engineering behind that system, including the trade-offs and lessons learned along the way—from batching strategies to token optimization and orchestration. The post Technical approach for classifying human-AI interactions at scale appeared first on Microsoft Research.
AI Testing and Evaluation: Reflections
In the series finale, Amanda Craig Deckard returns to examine what Microsoft has learned about testing as a governance tool. She also explores the roles of rigor, standardization, and interpretability in testing and what’s next for Microsoft’s AI governance work. The post AI Testing and Evaluation: Reflections appeared first on…
CollabLLM: Teaching LLMs to collaborate with users
Recipient of an ICML 2025 Outstanding Paper Award, CollabLLM improves how LLMs collaborate with users, including knowing when to ask questions and how to adapt tone and communication style to different situations. This approach helps move AI toward more user-centric and trustworthy systems. The post CollabLLM: Teaching LLMs to collaborate…
AI Testing and Evaluation: Learnings from cybersecurity
Drawing on his previous work as the UK’s cybersecurity chief, Professor Ciaran Martin explores differentiated standards and public-private partnerships in cybersecurity, and Microsoft’s Tori Westerhoff examines the insights through an AI red-teaming lens. The post AI Testing and Evaluation: Learnings from cybersecurity appeared first on Microsoft Research.
How AI will accelerate biomedical research and discovery
Daphne Koller, Noubar Afeyan, and Dr. Eric Topol, leaders in AI-driven medicine, discuss how AI is changing biomedical research and discovery, from accelerating drug target identification and biotech R&D to helping pursue the “holy grail” of a virtual cell. The post How AI will accelerate biomedical research and discovery appeared…