India eyes global quantum computer push — and QpiAI is its chosen vehicle
QpiAI, an Indian startup that integrates AI and quantum computing for enterprise use cases, has raised $32 million in a new funding round co-led by the Indian government.
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.
Scale AI lays off 14% of staff, largely in data-labeling business
Scale AI is cutting 14% of the company just weeks after Meta invested $14.3 billion in the startup and hired away its CEO.
OpenAI and Anthropic researchers decry ‘reckless’ safety culture at Elon Musk’s xAI
The criticisms follow weeks of scandals at xAI that have overshadowed the company's technological advances.
Nvidia’s resumption of H20 chip sales related to rare-earth element trade talks
U.S. Commerce Secretary said Nvidia's plans to start selling its H20 chips are tied to ongoing trade discussions with China regarding REEs.
xAI is hiring an engineer to make anime girls
The company is hiring for the role of "Fullstack Engineer - Waifus," or, creating AI-powered anime girls for people to fall in love with.
Google rolls out AI-powered business-calling feature, brings Gemini 2.5 Pro to AI Mode
The new business-calling feature uses AI to call local businesses on your behalf, for information about availability and pricing.
ChatGPT: Everything you need to know about the AI-powered chatbot
A timeline of ChatGPT product updates and releases, starting with the latest, which we’ve been updating throughout the year.
Hugging Face bets on cute robots to bring open source AI to life
Just five days after opening up orders on its Reachy Mini robots, AI developer platform Hugging Face says it has logged $1 million worth of sales. That’s not a bad start for a company that’s just recently expanded into robotics, and is largely known for letting developers download open source…
Meta reportedly scores two more high-profile OpenAI researchers
OpenAI researcher Jason Wei will reportedly join Meta’s new Superintelligence Lab. Another team member, Hyung Won Chung, might also join Meta, as the company works to catch up to rivals in the AGI race.
Of course, Grok’s AI companions want to have sex and burn down schools
xAI's first AI companions on the Grok app are a lustful anime girl and a homicidal panda.
A former OpenAI engineer describes what it’s really like to work there
A senior engineer describes the thrill, chaos, and exhaustion of working at OpenAI this past year while launching its coding agent Codex.
Meta fixes bug that could leak users’ AI prompts and generated content
The tech giant fixed the security flaw, netting a security researcher $10,000 for privately disclosing the bug.
Mira Murati’s Thinking Machines Lab is worth $12B in seed round
The deal marks one of the largest seed rounds — or first funding rounds — in Silicon Valley history, representing the massive investor appetite to back promising new AI labs. Thinking Machines Lab is less than a year old and has yet to reveal what it's working on.
Google Discover adds AI summaries, threatening publishers with further traffic declines
The feature will appear on iOS and Android in the U.S., with a focus on trending lifestyle topics like sports and entertainment. Google also noted the feature will make it easier for people to decide what pages they want to visit.
AI coding tools are shifting to a surprising place: The terminal
For years, code-editing tools like Cursor, Windsurf, and GitHub’s Copilot have been the standard for AI-powered software development. But as agentic AI grows more powerful and vibe-coding takes off, a subtle shift has changed how AI systems are interacting with software.
Research leaders urge tech industry to monitor AI’s ‘thoughts’
Research leaders from OpenAI, Anthropic, and Google DeepMind are urging tech companies and research groups to monitor AI's "thoughts."
Mistral releases Voxtral, its first open source AI audio model
French startup Mistral has jumped into the audio race with Voxtral, its first open model, aiming to challenge the dominance of walled-off corporate systems with open-weight alternatives.
ParadeDB takes on Elasticsearch as interest in Postgres explodes amid AI boom
ParadeDB built a Postgres extension that facilitates full-text search and analytics on Postgres without the need to transfer data.
xAI says it has fixed Grok 4’s problematic responses
xAI says it fixed the issue with Grok 4 where the model said its surname was "mechahitler."
TechCrunch All Stage launches in Boston today — don’t miss what founders are learning
The stages are set, the speakers are ready, and the startup community is gathering for one powerful day of insight, innovation, and momentum. TechCrunch All Stage is lighting up Boston’s SoWa Power Station.
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.
Study could lead to LLMs that are better at complex reasoning
Researchers developed a way to make large language models more adaptable to challenging tasks like strategic planning or process optimization.
Robotic probe quickly measures key properties of new materials
Developed to analyze new semiconductors, the system could streamline the development of more powerful solar panels.
Accelerating scientific discovery with AI
FutureHouse, co-founded by Sam Rodriques PhD ’19, has developed AI agents to automate key steps on the path toward scientific progress.
Using generative AI to help robots jump higher and land safely
MIT CSAIL researchers combined GenAI and a physics simulation engine to refine robot designs. The result: a machine that out-jumped a robot designed by humans.
LLMs factor in unrelated information when recommending medical treatments
Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.
Unpacking the bias of large language models
In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
A sounding board for strengthening the student experience
Composed of “computing bilinguals,” the Undergraduate Advisory Group provides vital input to help advance the mission of the MIT Schwarzman College of Computing.
Bringing meaning into technology deployment
The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.
Photonic processor could streamline 6G wireless signal processing
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.
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
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…
AI Testing and Evaluation: Learnings from pharmaceuticals and medical devices
Professors Daniel Carpenter and Timo Minssen explore evolving pharma and medical device regulation, including the role of clinical trials, while Microsoft applied scientist Chad Atalla shares where AI governance stakeholders might find inspiration in the fields. The post AI Testing and Evaluation: Learnings from pharmaceuticals and medical devices appeared first…
AI Testing and Evaluation: Learnings from genome editing
Bioethics and law expert R. Alta Charo explores the value of regulating technologies at the application level and the role of coordinated oversight in genome editing, while Microsoft GM Daniel Kluttz reflects on Charo’s points, drawing parallels to AI governance. The post AI Testing and Evaluation: Learnings from genome editing…
PadChest-GR: A bilingual grounded radiology reporting benchmark for chest X-rays
The world’s first multimodal, bilingual radiology dataset could reshape the way radiologists and AI systems make sense of X-rays. PadChest-GR, developed by the University of Alicante with Microsoft Research, has the potential to advance research across the field for years to come. The post PadChest-GR: A bilingual grounded radiology reporting…
AI Testing and Evaluation: Learnings from Science and Industry
In the introductory episode of this new series, host Kathleen Sullivan and Senior Director Amanda Craig Deckard explore Microsoft’s efforts to draw on the experience of other domains to help advance the role of AI testing and evaluation as a governance tool. The post AI Testing and Evaluation: Learnings from…
Learning from other domains to advance AI evaluation and testing
As generative AI becomes more capable and widely deployed, familiar questions from the governance of other transformative technologies have resurfaced. Which opportunities, capabilities, risks, and impacts should be evaluated? Who should conduct evaluations, and at what stages of the technology lifecycle? What tests or measurements should be used? And how…
Breaking bonds, breaking ground: Advancing the accuracy of computational chemistry with deep learning
Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, green fertilizers, precision drug discovery, and more. The post Breaking bonds, breaking ground: Advancing the accuracy of computational chemistry…
New methods boost reasoning in small and large language models
New techniques are reimagining how LLMs reason. By combining symbolic logic, mathematical rigor, and adaptive planning, these methods enable models to tackle complex, real-world problems across a variety of fields. The post New methods boost reasoning in small and large language models appeared first on Microsoft Research.