Discover the latest developments in artificial intelligence, machine learning, and emerging technologies. Stay ahead of the AI revolution.
Every enterprise running AI coding agents has just lost a layer of defense. On March 31, Anthropic accidentally shipped a 59.
Artificial intelligence is moving beyond software and further into the physical side of business. Companies in food production and logistics are starting to use data systems to support day-to-day decisions, not long-term planning.
In the early days of large language models (LLMs), we grew accustomed to massive 10x jumps in reasoning and coding capability with every new model iteration. Today, those jumps have flattened into incremental gains.
Earlier this month, Microsoft launched Copilot Health, a new space within its Copilot app where users will be able to connect their medical records and ask specific questions about their health. A couple of days earlier, Amazon had announced that Health AI, an LLM-based tool previously restricted to members of its One Medical service, would….
Banking house JPMorgan Chase is asking its roughly 65,000 engineers and technologists to use AI tools as part of their regular workflow. Business Insider reported that managers are tracking how often staff use these tools.
After operating in secrecy for years, a startup company called R3 Bio, in Richmond, California, suddenly shared details about its work last week—saying it had raised money to create nonsentient monkey “organ sacks” as an alternative to animal testing. In an interview with Wired, R3 listed three investors: billionaire Tim Draper, the Singapore-based fund Immortal….
Last week, one of our product managers (PMs) built and shipped a feature. Not filed a ticket for it.
Many people have tried AI tools and walked away unimpressed. I get it — many demos promise magic, but in practice, the results can feel underwhelming.
Processing 200,000 tokens through a large language model is expensive and slow: the longer the context, the faster the costs spiral. Researchers at Tsinghua University and Z.
Presented by OutSystems After two years of flashy AI demos, rushed agent prototypes, and breathless predictions, enterprise technology leaders are striking a more pragmatic tone in 2026. In a recent webinar hosted by OutSystems, a panel of software executives and enterprise practitioners made the case that the most consequential AI work happening now is focused on the practical matters of governance, orchestration, and iteration, along with integrating agents into the systems they've spent dec.
Intercom is taking an unusual gamble for a legacy software company: building its own AI model. The 15-year-old, Dublin, Ireland-based massive customer service platform announced Fin Apex 1.
Two ski bums leveraged their passion for the slopes and AI technology to create the internet's top snow forecasting app, challenging industry giants and transforming how skiers and snowboarders plan their mountain adventures.
Google's new TurboQuant algorithm promises to revolutionize AI's memory efficiency by increasing speed 8x and slicing costs in half. This breakthrough tackles the notorious Key-Value cache bottleneck, a major hurdle in processing large language models.
The battle over AI's role in warfare heats up as Anthropic clashes with the Pentagon, OpenAI steps in, and public outcry reaches new heights.
Stanford researchers have dived deep into the unsettling phenomenon where AI-driven chatbots might be sending some users down the rabbit hole of delusion. Meanwhile, OpenAI has begun voicing concerns over the potential risks Microsoft's involvement could bring.
Transform 2026 is shifting its focus from generative AI to pioneering the use of autonomous agents in enterprise, a move that could change the game for business tech.
Cursor's Composer 2, a high-profile AI coding tool, was recently unveiled as being built atop a Chinese AI model, sparking debates about transparency and the ethics of open-source AI. This revelation not only raises questions about the integrity of Western AI developers but also highlights the complex web of dependencies in the global tech landscape.
In an unexpected twist, the Bay Area's animal welfare movement is seeking help from AI researchers. This collaboration highlights the potential of AI to contribute to social causes beyond its traditional tech domains.
Exploring the fears that keep AI developers up at night, this article delves into the potential chaos of overly autonomous agents and the industry's mishandling of AI's capabilities.
AI is hitting a wall with tasks that require an understanding of the physical world. This limitation is thrusting world models into the spotlight, attracting significant investments.