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Lincoln Lab unveils the most powerful AI supercomputer at any US university

Artificial Intelligence, cybersecurity, Department of Defense (DoD), Energy, Haystack Observatory, Human-computer interaction, Lincoln Laboratory, Supercomputing

The new TX-Generative AI Next (TX-GAIN) computing system at the Lincoln Laboratory Supercomputing Center  (LLSC) is the most powerful AI supercomputer at any U.S. university. With its recent ranking from  TOP500, which biannually publishes a list of the top supercomputers in various categories, TX-GAIN joins the ranks of other powerful systems at the LLSC, all supporting […]

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Martin Trust Center for MIT Entrepreneurship welcomes Ana Bakshi as new executive director

Artificial Intelligence, Business and management, Innovation and Entrepreneurship (I&E), Leadership, Martin Trust Center for MIT Entrepreneurship, MIT Sloan School of Management, Staff, Startups

The Martin Trust Center for MIT Entrepreneurship announced that Ana Bakshi has been named its new executive director. Bakshi started in the role earlier this month at the start of the school year and will collaborate closely with the managing director, Ethernet Inventors Professor of the Practice Bill Aulet, to elevate the center to higher levels.“Ana

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Getting Started with Langfuse [2026 Guide]

Artificial Intelligence, Guide, LLMs

The creation and deployment of applications that utilize Large Language Models (LLMs) comes with their own set of problems. LLMs have non-deterministic nature, can generate plausible but false information and tracing their actions in convoluted sequences can be very troublesome. In this guide, we’ll see how Langfuse comes up as an essential instrument for solving these problems, by offering a strong foundation for

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GPU vs TPU: What’s the Difference?

Artificial Intelligence, Machine Learning

AI and machine learning have pushed the demand for high-performance hardware, making the GPU-versus-TPU discussion more relevant than ever. GPUs, originally built for graphics, have grown into flexible processors for data analysis, scientific computing, and modern AI workloads. TPUs, built by Google as specialized ASICs for deep learning, focus on high-throughput tensor operations and have

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7 Latest AI Drops by Google Will Make You a Powerhouse at Work

Artificial Intelligence, Beginner, GenAI Tools, Generative AI

Google has just dropped its biggest wave of AI updates in months. The best part – each one rewires how we get things done. And to add to that, this range of AI tools and features span across generating content, solving problems, and even getting multi-step, complicated tasks done by the power of AI. From

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Deep Agents Tutorial: Create Advanced AI Agents with LangGraph and Web Search Tools 

Artificial Intelligence, Beginner, Generative AI, LLMs

Imagine an AI that doesn’t just answer your questions, but thinks ahead, breaks tasks down, creates its own TODOs, and even spawns sub-agents to get the work done. That’s the promise of Deep Agents. AI Agents already take the capabilities of LLMs a notch higher, and today we’ll look at Deep Agents to see how

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DeepSeek Math V2 Guide: Smarter AI for Real Math

Artificial Intelligence, Beginner, GenAI Tools, Generative AI, LLMs

If you’ve been following the AI space lately, you’ve probably noticed something big: people don’t just care what an AI answers anymore, they care how it reaches that answer. And that’s exactly where DeepSeek Math V2 steps in. It’s an open-source model built specifically for real mathematical reasoning. In this guide, I’ll walk you through what DeepSeek Math V2

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The Generative AI Scientist Roadmap 2026

Artificial Intelligence, Beginner, Career, Generative AI, Interview Prep

Some people want to “learn AI.” Others want to build the future. If you’re in the second category, bookmark this right now – because the Generative AI Scientist Roadmap 2026 isn’t another cute syllabus. It’s the no-nonsense, industry-level blueprint for turning you from “I know Python loops” into “I can architect agents that run companies.”

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