MIT Technology Review [ai]

Found 21 news

  • How AI helps scientists design the next generation of medicines
    MIT Technology Review [ai] - 12:00 Jul 23, 2026
    Designing and developing a new medicine is an expensive, failure-prone scientific challenge. A new drug can take many years to develop, at the cost of a significant investment. And even then, most possible candidates never reach the patient. For biologic medicines, therapies made from engineered proteins rather than synthetic chemistry (which are often used to…
  • Advancing next-gen AI with materials science innovation
    MIT Technology Review [ai] - 10:37 Jul 21, 2026
    The conversation about AI often centers on algorithms, computing power, or huge investments in new semiconductor fabrication plants and hyperscale data centers. But beneath each of these advances is another layer of innovation that makes them possible: advanced materials. Every new generation of AI technology demands more processing power, more memory, greater energy efficiency, and…
  • China’s AI models have Trump’s AI world at war with itself
    MIT Technology Review [ai] - 18:00 Jul 20, 2026
    This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Over the weekend, several current and former advisors to President Donald Trump on AI publicly lobbed insults at the country’s leading AI companies. David Sacks, the president’s AI and crypto “czar” until…
  • AI is more likely than humans to form biases when hiring
    MIT Technology Review [ai] - 08:39 Jul 20, 2026
    The next time you apply for a job, AI may screen your résumé before any human sees it. But there’s good reason to question whether AI will judge you fairly. Researchers already know that LLMs pick up human biases from their training data. New research suggests that LLMs can also develop their own biases from…
  • The risk of weather data sabotage is rising
    MIT Technology Review [ai] - 08:57 Jul 17, 2026
    Every morning, airline dispatchers, grid operators, and farmers around the world make decisions based on the same thing: a weather forecast. While these forecasts are something that most people glance at for two seconds, weather predictions influence major strategic decisions in many industries, with real money, livelihoods, and even actual lives at stake. Farmers use…
  • Meet GPT-Red: an LLM super-hacker OpenAI built to make its models safer
    MIT Technology Review [ai] - 17:09 Jul 15, 2026
    OpenAI has built an LLM super-hacker called GPT-Red that it uses as a sparring partner to help its other models boost their defenses against cyberattacks. Last week the company released the latest version of its flagship LLM, GPT-5.6. OpenAI says that training it against GPT-Red made the model its most robust release yet. GPT-Red automates…
    Tags: OpenAI
  • What Anthropic’s latest AI discovery does—and doesn’t—show
    MIT Technology Review [ai] - 18:00 Jul 13, 2026
    This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Anthropic—currently the world’s most valuable AI company, with a nearly $1 trillion valuation—has a reputation for publishing strange and heady research. It’s looking into whether AI models can feel pain, for example,…
  • Anthropic found a hidden space where Claude puzzles over concepts
    MIT Technology Review [ai] - 20:22 Jul 09, 2026
    The AI firm Anthropic has developed a technique that has given it the clearest glimpse yet at what’s really going on inside large language models as they answer questions or carry out tasks. What they found ranges from the mundane to the unnerving. Researchers at the company built a tool called the Jacobian lens (or…
  • The foundational elements of AI architecture that IT leaders need to scale
    MIT Technology Review [ai] - 11:10 Jul 07, 2026
    With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution also introduces risk, leaving IT leaders to wonder which investments will prove valuable even six months into the future. Returning to the foundational elements of AI architecture—the…
  • Your family’s $300 stake in OpenAI
    MIT Technology Review [ai] - 18:00 Jul 06, 2026
    This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. OpenAI CEO Sam Altman’s oft-discussed promise that Americans will share in the wealth AI creates was in the news again last week. On Thursday, the Financial Times reported that Altman is in…
  • Achieving operational excellence with AI
    MIT Technology Review [ai] - 15:37 Jul 02, 2026
    Frameworks like Lean Six Sigma and business process management (BPM) first gained traction because they promised clarity in the chaos—a structured way to bring order to messy, sprawling operations. Lean Six Sigma emphasized statistical rigor and quality control; BPM created end-to-end maps of how work should flow across departments. Both offered a repeatable way to…
  • Teaching AI to run with the turbines
    MIT Technology Review [ai] - 12:51 Jul 02, 2026
    Artificial intelligence may have captured the public imagination through chatbots and image generators, but some of its most consequential use cases are unfolding far from consumer-facing tools. In industries where physical infrastructure, operational continuity, and safety are paramount, AI is becoming a core operating layer. With its sprawling industrial systems and constant stream of operational…
  • Building the foundation for an autonomous enterprise
    MIT Technology Review [ai] - 12:51 Jul 02, 2026
    Artificial intelligence may have captured the public imagination through chatbots and image generators, but some of its most consequential use cases are unfolding far from consumer-facing tools. In industries where physical infrastructure, operational continuity, and safety are paramount, AI is becoming a core operating layer. With its sprawling industrial systems and constant stream of operational…
  • LLMs are stuck in a groupthink groove. This startup is trying to get them out.
    MIT Technology Review [ai] - 14:35 Jul 01, 2026
    Let’s start with a game. Open up your chatbot of choice—Claude, ChatGPT, Gemini—and type “Give me a random number between 1 and 10.” You’re going to get 7. Almost always. Now type “Another” and you’ll get 3 or 4. Type “Another” again and you’ll get 8 or 9. That won’t work every time—but if it…
  • Claude Science is Anthropic’s newest flagship product
    MIT Technology Review [ai] - 21:50 Jun 30, 2026
    At an event for pharmaceutical executives, biotech founders, and researchers on Tuesday, Anthropic announced Claude Science, a major new product intended to support scientific research in the same way that Claude Code supports software engineering. Like Claude Code, Claude Science can autonomously carry out meaningful work when given concise, high-level instructions, and it has access…
  • Agriculture is ready for AI, but its data isn’t
    MIT Technology Review [ai] - 12:00 Jun 30, 2026
    Artificial intelligence is transforming what is possible in agriculture, but industry leaders should be wary of investing in AI without first laying the groundwork.  The use cases are promising, especially for an industry navigating volatile fertilizer costs, unpredictable weather, and margins that leave little room for error. Research shows AI-enabled predictive models can improve crop…
  • AI agents are not your “coworkers”
    MIT Technology Review [ai] - 18:00 Jun 29, 2026
    This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Imagine coming in to work to learn that a new underling will report to you. The worker is not a person but an AI tool—one that your company nonetheless calls Alex, an…
  • Agent confidence on the technical frontier
    MIT Technology Review [ai] - 14:44 Jun 29, 2026
    Enterprise investment in AI is booming. Gartner is calling 2026 an “inflection year” for organizations to align their AI projects with strategic business objectives. As the pressure to prove ROI mounts, executives and technology leaders are looking to agentic AI to drive the measurable financial outcomes their businesses seek. A prime opportunity for AI agents…
  • Repositioning retail for the AI era
    MIT Technology Review [ai] - 14:22 Jun 25, 2026
    Artificial intelligence is rapidly reshaping retail, but not in the ways consumers might immediately notice. The biggest transformation may not be flashy virtual try-ons or chatbot shopping assistants, but in how decisions are made behind the scenes: how products surface in search results, how inventory moves through supply chains, how engineers ship code faster, and…
  • The emergence of the web data infrastructure layer for AI
    MIT Technology Review [ai] - 11:59 Jun 24, 2026
    AI is booming. New use cases are emerging each day. To capitalize on the technology’s potential, enterprises require data at scale. In many cases, though, the relevant information is blocked or unstructured, which limits its use by AI models.  To understand this challenge, consider the foundation of the web itself. The web was not designed…

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