Vibe coding Anything nabs a $100M valuation, after hitting $2M ARR in its first two weeks
Anything raised an $11 million funding round led by Footwork.
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.
Anthropic launches Claude Sonnet 4.5, its best AI model for coding
Anthropic says its new AI model is robust enough to build production-ready applications, rather than just prototypes.
OpenAI rolls out safety routing system, parental controls on ChatGPT
The new safety features come after numerous incidents of ChatGPT validating users' delusional thinking instead of redirecting harmful conversations -- including the death of a teenage boy by suicide.
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ComplexChaos thinks AI can help people find common ground
The startup uses an LLM tailored to helping people arrive at a consensus. Is it enough to help bridge our differences?
The TechCrunch Disrupt Stage revealed: Behold the first look
The Disrupt Stage is where tech’s biggest bets get made — live and unfiltered. It’s where startup dreams turn into $100,000 wins in Startup Battlefield, and where the industry’s power players reveal what’s next. Register to save up to $444 on your pass.
Former Microsoft execs launch AI agents to end Excel-led finance
Maximor has come out of stealth with a human-in-the-loop agentic platform that does the finance team's grunt work.
Paid, the AI agent ‘results-based billing’ startup from Manny Medina, raises huge $21M seed
Paid offers an interesting contribution to the AI agentic world: a platform for so-called "results-based" billing.
The AI services transformation may be harder than VCs think
Early warning signs suggest this whole services-industry metamorphosis may be more complicated than VCs anticipate.
The billion-dollar infrastructure deals powering the AI boom
Here's everything we know about the biggest AI infrastructure projects, including major spending from Meta, Oracle, Microsoft, Google, and OpenAI.
Wiz chief technologist Ami Luttwak on how AI is transforming cyberattacks
Ami Luttwak, CTO of Wiz, breaks down how AI is changing cybersecurity, why startups shouldn't write a single line of code before thinking about security, and opportunities for upstarts in the industry.
Beware co-workers who produce AI-generated ‘workslop’
BetterUp Labs researchers suggest that workslop could be one explanation for the 95% of organizations that have tried AI but report seeing zero return on that investment.
AI startup Friend spent more than $1M on all those subway ads
If you’ve been on the New York subway recently, you’ve probably seen stark white ads promoting a wearable AI device called Friend.
How South Korea plans to best OpenAI, Google, others with homegrown AI
South Korea has launched its most ambitious sovereign AI initiative yet, as the nation's major tech players like LG and SK Telecom develop their own LLMs.
What’s behind the massive AI data center headlines?
This week on Equity, Anthony Ha and Max Zeff go beyond the headlines to break down what's really going on in these AI infrastructure deals.
YouTube Music tests AI hosts that share trivia and commentary
YouTube Music's new AI hosts are currently being tested through YouTube Labs, the platform's new hub for AI experiments.
Everyone’s still throwing billions at AI data centers
From $100 billion OpenAI commitments to $100,000 visa fees, this week showed just how much the tech landscape is shifting. On the latest episode of Equity, Anthony Ha and Max Zeff unpack the AI infrastructure gold rush and tech’s talent shuffle. Watch the full episode for more about: Equity is…
The Trump administration is going after semiconductor imports
The Trump administration wants the industry to reach a 1:1 ratio of domestically produced and imported chips.
From $100B OpenAI deals to $100K visa fees
From $100 billion OpenAI commitments to $100,000 visa fees, this week showed just how much the tech landscape is shifting. On the latest episode of Equity, Anthony Ha and Max Zeff unpack the AI infrastructure gold rush and tech’s talent shuffle. Listen to the full episode to hear about: Equity…
Today is the last day to save up to $668 on TechCrunch Disrupt 2025 tickets
Today is the last chance to save up to $668 on TechCrunch Disrupt 2025. Join 250+ top tech leaders, explore 200+ sessions, and connect with 10,000+ innovators, investors, and founders.
AI system learns from many types of scientific information and runs experiments to discover new materials
The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for decades.
New AI system could accelerate clinical research
By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.
New tool makes generative AI models more likely to create breakthrough materials
With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing.
What does the future hold for generative AI?
At the inaugural MIT Generative AI Impact Consortium Symposium, researchers and business leaders discussed potential advancements centered on this powerful technology.
How to build AI scaling laws for efficient LLM training and budget maximization
MIT-IBM Watson AI Lab researchers have developed a universal guide for estimating how large language models will perform based on smaller models in the same family.
Machine-learning tool gives doctors a more detailed 3D picture of fetal health
MIT CSAIL researchers developed a tool that can model the shape and movements of fetuses in 3D, potentially assisting doctors in finding abnormalities and making diagnoses.
DOE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions
The research center, sponsored by the DOE’s National Nuclear Security Administration, will advance the simulation of extreme environments, such as those in hypersonic flight and atmospheric reentry.
AI and machine learning for engineering design
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
A greener way to 3D print stronger stuff
MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.
3 Questions: The pros and cons of synthetic data in AI
Artificially created data offer benefits from cost savings to privacy preservation, but their limitations require careful planning and evaluation, Kalyan Veeramachaneni says.
3 Questions: On biology and medicine’s “data revolution”
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
MIT researchers develop AI tool to improve flu vaccine strain selection
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.
Simpler models can outperform deep learning at climate prediction
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
A new model predicts how molecules will dissolve in different solvents
Solubility predictions could make it easier to design and synthesize new drugs, while minimizing the use of more hazardous solvents.
Eco-driving measures could significantly reduce vehicle emissions
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
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
Using AI to assist in rare disease diagnosis
New research from Microsoft, Drexel, and the Broad explores how generative AI could support genetic professionals in rare disease diagnosis. The post Using AI to assist in rare disease diagnosis appeared first on Microsoft Research.
Tool-space interference in the MCP era: Designing for agent compatibility at scale
As agentic AI ushers in a new era marked by tool expansion, systems are converging, and complexity is rising. Microsoft Research explores the Model Context Protocol (MCP) as a new standard for agent collaboration across fragmented tool ecosystems. The post Tool-space interference in the MCP era: Designing for agent compatibility…
RenderFormer: How neural networks are reshaping 3D rendering
RenderFormer, from Microsoft Research, is the first model to show that a neural network can learn a complete graphics rendering pipeline. It’s designed to support full-featured 3D rendering using only machine learning—no traditional graphics computation required. The post RenderFormer: How neural networks are reshaping 3D rendering appeared first on Microsoft…
Breaking the networking wall in AI infrastructure
Datacenter memory and network limits are restraining AI system performance. MOSAIC uses microLEDs and a wide-and-slow optical architecture to deliver faster, longer, more reliable, and energy efficient connections that could transform AI cluster designs. The post Breaking the networking wall in AI infrastructure appeared first on Microsoft Research.
Crescent library brings privacy to digital identity systems
Crescent helps make digital IDs private by preventing tracking across uses while letting users only disclose what’s necessary from their credentials. The post Crescent library brings privacy to digital identity systems appeared first on Microsoft Research.
Applicability vs. job displacement: further notes on our recent research on AI and occupations
Recently, we released a paper Working with AI: Measuring the Occupational Implications of Generative AI that studied what occupations might find AI chatbots useful, and to what degree. The paper sparked significant discussion, which is no surprise since people care deeply about the future of AI and jobs--that’s part of why we think it’s important to study these topics. The post Applicability vs. job displacement: further notes…
Coauthor roundtable: Reflecting on healthcare economics, biomedical research, and medical education
For the series finale, Peter Lee, Carey Goldberg, and Dr. Zak Kohane compare their predictions to insights from the series’ most recent guests, including experts on AI’s economic and societal impact, leaders in AI-driven medicine, and doctors in training. The post Coauthor roundtable: Reflecting on healthcare economics, biomedical research, and…
MindJourney enables AI to explore simulated 3D worlds to improve spatial interpretation
MindJourney can enable AI to navigate and interpret 3D environments from limited visual input, potentially improving performance in navigation, planning, and safety-critical tasks. The post MindJourney enables AI to explore simulated 3D worlds to improve spatial interpretation appeared first on Microsoft Research.
Dion: the distributed orthonormal update revolution is here
Dion is a new AI model optimization method that boosts scalability and performance over existing leading methods by orthonormalizing only a top rank subset of singular vectors, enabling more efficient training of large models such as LLaMA-3 with reduced overhead. The post Dion: the distributed orthonormal update revolution is here…
Reimagining healthcare delivery and public health with AI
Former Washington State Secretary of Health Dr. Umair Shah and Mayo Clinic CEO Dr. Gianrico Farrugia explore how healthcare leaders are approaching AI when it comes to public health, care delivery, the healthcare-research connection, and the patient experience. The post Reimagining healthcare delivery and public health with AI appeared first…