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Elon Musk’s AI startup, xAI, has acquired his social media platform X, formerly known as Twitter, in an all-stock deal, he announced in a post on X Friday. “xAI has acquired X in an all-stock transaction,” Musk said. “The combination values xAI at $80 billion and X at $33 billion…
This week, OpenAI launched a new image generator in ChatGPT, which quickly went viral for its ability to create Studio Ghibli-style images. Beyond the pastel illustrations, GPT-4o’s native image generator significantly upgrades ChatGPT’s capabilities, improving picture editing, text rendering, and spatial representation. However, one of the most notable changes OpenAI…
OpenAI is reportedly nearing completion of a massive $40 billion funding round, with SoftBank leading the way. But this week, it wasn’t just the company funding news making headlines — its new image generator went live in ChatGPT, with capabilities including the ability to turn ordinary images into Studio Ghibli-style…
AI web crawling bots are the cockroaches of the internet, many developers believe. FOSS devs are fighting back in ingenuous, humorous ways.
When Twin came out of stealth in January 2024, AI agents were more of a theoretical concept than a reality. Today, the Paris-based company is releasing an automation agent in partnership with Qonto, the fintech startup that offers business bank accounts to more than 500,000 customers across Europe. If you…
ChatGPT, OpenAI’s text-generating AI chatbot, has taken the world by storm since its launch in November 2022. What started as a tool to supercharge productivity through writing essays and code with short text prompts has evolved into a behemoth with 300 million weekly active users. 2024 was a big year…
Google is rolling out a slew of new features — some powered by AI — across Search, Maps, and Gemini that are designed to help people plan their summer vacations. The new features arrive as users have been turning to tools like OpenAI’s ChatGPT for help with planning trips. Google…
It’s only been a day since ChatGPT’s new AI image generator went live, and social media feeds are already flooded with AI-generated memes in the style of Studio Ghibli, the cult-favorite Japanese animation studio behind blockbuster films such as “My Neighbor Totoro” and “Spirited Away.” In the last 24 hours,…
Nvidia is looking to get into the server rental market. The semiconductor giant is reportedly nearing a deal to acquire Lepton AI, a company that rents out servers that are powered by Nvidia’s AI chips, according to The Information. Citing unnamed sources, the outlet says the deal deal is worth…
OpenAI CEO Sam Altman announced on Wednesday that the rollout of ChatGPT’s viral new AI image features to free users would be delayed, citing significantly higher demand than the company expected. “Images in ChatGPT are wayyyy more popular than we expected (and we had pretty high expectations),” Altman said in…
OpenAI is embracing rival Anthropic’s standard for connecting AI assistants to the systems where data resides. In a post on X on Wednesday, OpenAI CEO Sam Altman said that OpenAI will add support for Anthropic’s Model Context Protocol, or MCP, across its products, including the desktop app for ChatGPT. MCP…
One academic who reviewed the dataset said it was "clear evidence" that China, or its affiliates, wants to use AI to improve repression.
The proliferation of scarily realistic deepfakes is one of the more pernicious by-products of the rise of AI, and falling victim to scams based on these deepfakes is already costing companies millions of dollars — not to mention the implications these could have on national security. A startup that’s built…
Amazon started the Alexa Fund in 2015 to back early-stage voice startups. With the advent of large language models and Amazon launching Gen AI-powered Alexa+, along with a family of multimodal AI models, the fund now wants to broaden its scope and invest more in AI startups. In a blog…
Audio startup Krisp on Wednesday said it is launching a new feature that uses AI to change a user’s accent during calls. The company is initially rolling out support for changing Indian English accents to U.S. English. The startup says the accent conversion process preserves the speaker’s voice and only…
Amazon continues to infuse AI into its shopping tools to encourage customers to make more purchases. The company announced on Wednesday a new feature called “Interests,” aimed at creating a more personalized and conversational search experience. With the new feature, customers can enter tailored prompts in the search bar, reflecting…
It’s virtually impossible today to determine when a student’s writing has been composed using ChatGPT or another generative AI tool, and it can be a nightmare to disprove incorrect accusations. An AI edtech startup called Brisk has built a tool that could at least help teachers identify some of the…
Microsoft is introducing a “deep research” AI-powered tool in Microsoft 365 Copilot, its AI chatbot app. There’s been a raft of deep research agents launched recently across chatbots, including OpenAI’s ChatGPT, Google’s Gemini, and xAI’s Grok. Powering them are reasoning AI models, which posses the ability to think through problems…
The startup uses AI to quickly search for minerals over wide areas, identifying promising potential deposits for exploration.
During a livestream on Tuesday, OpenAI CEO Sam Altman announced the first major upgrade to ChatGPT’s image-generation capabilities in over a year. ChatGPT can now leverage the company’s GPT-4o model to natively create and modify images and photos. GPT-4o has long underpinned the AI-powered chatbot platform, but until now, the…
Researchers fuse the best of two popular methods to create an image generator that uses less energy and can run locally on a laptop or smartphone.
U.S. Air Force engineer and PhD student Randall Pietersen is using AI and next-generation imaging technology to detect pavement damage and unexploded munitions.
New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.
MIT undergraduates broaden their perspectives and prospects through political science.
FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
Fusion’s future depends on decoding plasma’s mysteries. Simulations can help keep research on track and reveal more efficient ways to generate fusion energy.
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
In a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.
Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.
New faculty member Kaiming He discusses AI’s role in lowering barriers between scientific fields and fostering collaboration across scientific disciplines.
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.
Assistant Professor Sara Beery is using automation to improve monitoring of migrating salmon in the Pacific Northwest.
By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.
New research could improve the safety of drone shows, warehouse robots, and self-driving cars.
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 this issue, we examine a new conversation segmentation method that delivers more coherent and personalized agent conversation, and we review efforts to improve MLLMs’ understanding of geologic maps. Check out the latest research and other updates. The post Research Focus: Week of March 24, 2025 appeared first on Microsoft…
UC San Diego Health’s Dr. Christopher Longhurst and UC San Francisco Health’s Dr. Sara Murray explore how generative AI is changing patient care, clinical workflows, and decision-making and how they envision the technology impacting the future of healthcare. The post The reality of generative AI in the clinic appeared first…
While large language models (LLMs) are capable of synthesizing vast amounts of information, they sometimes produce inaccurate or unsubstantiated content. To mitigate this risk, tools like Azure AI’s Groundedness Detection (opens in new tab) can be used to verify LLM outputs. A common strategy for fact-checking LLM-generated texts – especially…
Metasurfaces explore engineered 2D materials that manipulate electromagnetic and mechanical waves, offering advances in wireless tech. They can power indoor GPS, extend 5G/6G coverage, and enable wireless sensing and imaging. The post Metasurface: Unlocking the future of wireless sensing and communication appeared first on Microsoft Research.
Introducing KBLaM, an approach that encodes and stores structured knowledge within an LLM itself. By integrating knowledge without retraining, it offers a scalable alternative to traditional methods. The post Introducing KBLaM: Bringing plug-and-play external knowledge to LLMs appeared first on Microsoft Research.
AI interactions can be iterative and complex. Learn how the Semantic Telemetry project at Microsoft Research is developing a new data science approach to understand human-AI interactions and their value. The post Semantic Telemetry: Understanding how users interact with AI systems appeared first on Microsoft Research.
Host Peter Lee, Microsoft Research president, discusses the motivation behind the new series and the GPT-4 encounter that helped him view the tech not only as a potential tool for improving healthcare but a chance to reexamine what it means to care for people. The post The AI Revolution in…
Our recent study in Nature Scientific Reports identified key challenges in the biomedical data lifecycle and offered 7 actionable recommendations. The post Advancing biomedical discovery: Overcoming data challenges in precision medicine appeared first on Microsoft Research.
Explore Magma, a foundation model that can empower AI assistants to interpret environments, plan actions, and execute tasks across digital and physical spaces. Now available, learn how it advances the field of agentic AI. The post Magma: A foundation model for multimodal AI agents across digital and physical worlds appeared…
Meet BioEmu-1 from Microsoft Research. This deep learning model can generate thousands of protein structures per hour, unlocking new possibilities for protein scientists and drug discovery and research. The post Exploring the structural changes driving protein function with BioEmu-1 appeared first on Microsoft Research.
