What Will It Take for Grocers to Adopt AI-Powered Personalization?

For the past several years, the grocery industry has been in the middle of a tech-driven whirlwind—one that has changed the way retailers operate and engage with customers. Mobile apps connect shoppers with loyalty programs, online ordering, recipe inspiration, and more. In-store technology makes the customer experience smoother and more efficient. In many ways, the…

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Navigating AI Bias: A Guide for Responsible Development

AI is revolutionizing industries worldwide, but with this transformation comes significant responsibility. As these systems increasingly drive critical business decisions, companies face mounting risks related to bias, transparency, and compliance. The consequences of unchecked AI can be severe, from legal penalties to reputational damage — but no company is doomed. This guide examines key bias…

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Why the Open Web Is at Risk in the Age of AI Crawlers

The Internet has always been a space for free expression, collaboration, and the open exchange of ideas. However, with persistent advances in artificial intelligence (AI), AI-powered web crawlers have started transforming the digital world. These bots, deployed by major AI companies, crawl the Web, collecting vast amounts of data, from articles and images to videos…

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PRISM Launches as the World’s First Non-Profit Dedicated to Researching Sentient AI

As artificial intelligence continues to evolve at an unprecedented pace, a new organization has emerged to address one of the most profound and complex questions of our time: Can machines become sentient? The Partnership for Research Into Sentient Machines (PRISM) officially launched on March 17, 2025 as the world’s first non-profit organization dedicated to investigating…

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At the core of problem-solving

As director of the MIT BioMicro Center (BMC), Stuart Levine ’97 wholeheartedly embraces the variety of challenges he tackles each day. One of over 50 core facilities providing shared resources across the Institute, the BMC supplies integrated high-throughput genomics, single-cell and spatial transcriptomic analysis, bioinformatics support, and data management to researchers across MIT. “Every day…

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Beyond Retrieval: NVIDIA Charts Course for the Generative Computing Era

NVIDIA CEO Jensen Huang announced a series of groundbreaking advancements in AI computing capabilities at the company’s GTC March 2025 keynote, describing what he called a “$1 trillion computing inflection point.” The keynote revealed the production readiness of the Blackwell GPU architecture, a multi-year roadmap for future architectures, major breakthroughs in AI networking, new enterprise…

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From Words to Concepts: How Large Concept Models Are Redefining Language Understanding and Generation

In recent years, large language models (LLMs) have made significant progress in generating human-like text, translating languages, and answering complex queries. However, despite their impressive capabilities, LLMs primarily operate by predicting the next word or token based on preceding words. This approach limits their ability for deeper understanding, logical reasoning, and maintaining long-term coherence in…

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The Challenge of Captioning Video at More Than 1fps

The ability for machine learning systems to recognize the events that occur inside a video is crucial to the future of AI-based video generation – not least because video datasets require accurate captions in order to produce models that adhere to a user’s request, and that do not excessively hallucinate. An example of a captioning…

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Relevance AI Review: Can AI Agents Replace New Hires?

Imagine if you could multiply your workforce without adding a single new hire. What if your team could focus on creative, strategic work while AI-powered agents handle the repetitive, time-consuming tasks? This isn’t some sci-fi future. It’s the power of AI automation brought to life by Relevance AI! Did you know that 94% of companies…

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