Artificial Intelligence Review

Artificial Intelligence MIT Technology Review

  • How robots learn: A brief, contemporary history
    by James O’Donnell on April 17, 2026 at 10:00 am

    Roboticists used to dream big but build small. They’d hope to match or exceed the extraordinary complexity of the human body, and then they’d spend their career refining robotic arms for auto plants. Aim for C-3P0; end up with the Roomba.  The real ambition for many of these researchers was the robot of science fiction—one…

  • Treating enterprise AI as an operating layer
    by Dr. Wael Salloum on April 16, 2026 at 1:00 pm

    There’s a fault line running through enterprise AI, and it’s not the one getting the most attention. The public conversation still tracks foundation models and benchmarks—GPT versus Gemini, reasoning scores, and marginal capability gains. But in practice, the more durable advantage is structural: who owns the operating layer where intelligence is applied, governed, and improved.…

  • Making AI operational in constrained public sector environments
    by MIT Technology Review Insights on April 16, 2026 at 1:00 pm

    The AI boom has hit across industries, and public sector organizations are facing pressure to accelerate adoption. At the same time, government institutions face distinct constraints around security, governance, and operations that set them apart from their business counterparts. For this reason, purpose-built small language models (SLMs) offer a promising path to operationalize AI in…

  • Why having “humans in the loop” in an AI war is an illusion
    by Uri Maoz on April 16, 2026 at 12:00 pm

    The availability of artificial intelligence for use in warfare is at the center of a legal battle between Anthropic and the Pentagon. This debate has become urgent, with AI playing a bigger role than ever before in the current conflict with Iran. AI is no longer just helping humans analyze intelligence. It is now an…

  • Building trust in the AI era with privacy-led UX
    by MIT Technology Review Insights on April 15, 2026 at 6:00 am

    The practice of privacy-led user experience (UX) is a design philosophy that treats transparency around data collection and usage as an integral part of the customer relationship. An undertapped opportunity in digital marketing, privacy-led UX treats user consent not as a tick-box compliance exercise, but rather as the first overture in an ongoing customer relationship.…

  • Redefining the future of software engineering
    by MIT Technology Review Insights on April 14, 2026 at 6:00 pm

    Software engineering has experienced two seismic shifts this century. First was the rise of the open source movement, which gradually made code accessible to developers and engineers everywhere. Second, the adoption of development operations (DevOps) and agile methodologies took software from siloed to collaborative development and from batch to continuous delivery. Now, a third such…

  • Coming soon: 10 Things That Matter in AI Right Now
    by Niall Firth, Amy Nordrum on April 14, 2026 at 11:00 am

    Each year we compile our 10 Breakthrough Technologies list, featuring our educated predictions for which technologies will have the biggest impact on how we live and work. This year, however, we had a dilemma. While our final picks encompass all our core coverage areas (energy, AI, and biotech, plus a few more), our 2026 list…

  • Why opinion on AI is so divided
    by Will Douglas Heaven on April 13, 2026 at 3:48 pm

    This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. In an industry that doesn’t stand still, Stanford’s AI Index, an annual roundup of key results and trends, is a chance to take a breath. (It’s a marathon, not a sprint, after…

  • Want to understand the current state of AI? Check out these charts.
    by Michelle Kim on April 13, 2026 at 1:00 pm

    If you’re following AI news, you’re probably getting whiplash. AI is a gold rush. AI is a bubble. AI is taking your job. AI can’t even read a clock. The 2026 AI Index from Stanford University’s Institute for Human-Centered Artificial Intelligence, AI’s annual report card, comes out today and cuts through some of that noise. …

  • Mustafa Suleyman: AI development won’t hit a wall anytime soon—here’s why
    by Mustafa Suleyman on April 8, 2026 at 2:00 pm

    We evolved for a linear world. If you walk for an hour, you cover a certain distance. Walk for two hours and you cover double that distance. This intuition served us well on the savannah. But it catastrophically fails when confronting AI and the core exponential trends at its heart. From the time I began…

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