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.
From the moment OpenAI CEO Sam Altman stepped onstage, it was clear this was not going to be a normal interview. Altman and his chief operating officer, Brad Lightcap, stood awkwardly toward the back of the stage at a jam-packed San Francisco venue that typically hosts jazz concerts. Hundreds of…
The idea is meant to create a balance between the open nature of the internet and the demand for ever more data to fuel AI.
Predibase helps companies train and fine-tune open source AI models which will help Rubrik customers deploy AI agents faster.
Getty Images dropped its primary claims of copyright infringement against Stability AI on Wednesday at London’s High Court, narrowing one of the most closely watched legal fights over how AI companies use copyrighted content to train their models.
"Let's use technology to benefit workers," Sanders said.
AI-native startups are rewriting the rules of what early traction looks like — and too often, investors are still playing by the old ones. At TechCrunch All Stage, happening in Boston on July 15, Kleida Martiro, partner at Glasswing Ventures, will lead a breakout that cuts straight to the core…
The new tool connects Gemini AI models to local codebases, allowing developers to make natural language requests, such as asking Gemini CLI to explain confusing sections of code, write new features, debug code, or run commands.
Ring gets a new AI-powered feature that offers users specific text descriptions of current motion activity.
Synthflow is a no-code platform that lets enterprises build and deploy customized white-labeled voice AI customer service agents. The company was founded in 2023 and has amassed more than 1,000 customers and handled more than 45 million calls.
One sign of that focus came on Friday, when prominent open source group LAION released a suite of open source tools focused entirely on emotional intelligence.
Abridge nabbed a $300 million Series E led by a16z, months after it closed its previous $250 million fundraise. The 7-year-old Abridge is widely considered to be the leader in the increasingly crowded AI-powered medical scribe market, largely due to its early entry and integration with Epic Systems, the dominant…
CEO Tanay Kothari noted that the startup will soon achieve profitability at the current rate of growth. Initially, he didn't want to raise money, but he worried that Big Tech players with a massive distribution advantage could be a risk to the company. He wanted to rapidly multiply the company's…
The ruling isn't a guarantee for how similar cases will proceed, but it lays the foundations for a precedent that would side with tech companies over creatives.
Google DeepMind has released a new language model called Gemini Robotics On-Device that can run tasks locally on robots without an internet connection.
Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.
Google introduced its AI mode, a Q&A-style search tool, to users in India today. The company said that this tool is still in the experimental stage and users will need to opt in to it through Search Labs. Once a user has opted in, they can ask queries in English.…
The ChatGPT maker seems to be more than a year out from selling its first hardware device, which may not be an in-ear product whatsoever. Given what the company said in this lawsuit, it appears it is also exploring other form factors.
Andy Konwinski is pledging $100 million of his own money for a new kind of institute to fund researchers. It's already backed Ion Stoica's new lab.
Leaked code suggests xAI is developing an advanced file editor for Grok with spreadsheet support, signaling the company’s push to compete with OpenAI, Google, and Microsoft by embedding AI copilots into productivity tools.
The round, which comes just four months after $300 million Series D, was co-led by Kleiner Perkins and Coatue.
Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.
Composed of “computing bilinguals,” the Undergraduate Advisory Group provides vital input to help advance the mission of the MIT Schwarzman College of Computing.
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.
The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.
A new method can physically restore original paintings using digitally constructed films, which can be removed if desired.
A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.
A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.
The system automatically learns to adapt to unknown disturbances such as gusting winds.
Coactive, founded by two MIT alumni, has built an AI-powered platform to unlock new insights from content of all types.
A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.
SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans.
PhD student Sarah Alnegheimish wants to make machine learning systems accessible.
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.
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.
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…
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…
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…
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…
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…
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.…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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 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.
Technologists Bill Gates and Sébastien Bubeck discuss the state of generative AI in medicine, how access to “medical intelligence” might help empower people across healthcare, and how AI’s accelerating improvements are likely to affect both delivery and discovery. The post How AI is reshaping the future of healthcare and medical…
We're rewriting parts of Microsoft's SymCrypt cryptographic library in Rust to improve memory safety and defend against side-channel attacks, enabling formal verification while maintaining backward compatibility via a Rust-to-C compiler. The post Rewriting SymCrypt in Rust to modernize Microsoft’s cryptographic library appeared first on Microsoft Research.
BenchmarkQED is an open-source toolkit for benchmarking RAG systems using automated query generation, evaluation, and dataset prep. It shows that LazyGraphRAG outperforms standard methods, especially on complex, global queries. The post BenchmarkQED: Automated benchmarking of RAG systems appeared first on Microsoft Research.
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…
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.
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…
