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Q&A: Hey AI, who should I vote for this year?

People are peppering artificial intelligence chatbots everyday with questions, but when it comes to politics and the looming 2026 U.S. midterm elections, what role are AI platforms playing? Could an AI chatbot sway a voter to switch parties or re-examine their political beliefs? MIT researchers have built a new dashboard, called the LLM Election Observatory, to examine,

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At New York Climate Week 2026, MIT connects with a global network

Each year, Climate Week NYC brings together more than 100,000 people in more than 1,000 events across the city to discuss climate challenges, explore solutions, and spur action. Participants come from industry, academia, philanthropy, nonprofits, government, and finance and venture capital. And this year, the mix included a strong, cross-campus presence from MIT.The MIT community

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Giving AI a “crystal clear” view of the materials world

In principle, artificial intelligence could make finding the right material for an application as simple as ordering dinner: Scientists would tell a large language model what they want, and it would serve them a perfectly designed crystal for the job.Unfortunately, that approach doesn’t work well yet, and the problem comes down to data: Most materials

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Using AI to mitigate the growing environmental threat of data centers

The global building boom of power-hungry data centers is straining electrical grids, causing greater reliance on energy from polluting fossil fuels.Christina Delimitrou, a newly tenured associate professor at MIT, is fighting this environmental threat by rethinking how the computer servers and networking equipment inside those data centers operate. She and her group apply machine learning to

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Supercomputing researchers document evolution of AI hardware

As artificial intelligence transforms industries and national security, understanding the latest hardware capabilities is important for maintainind technological advantage.AI accelerators — specialized systems designed to speed up capabilities such as neural networks, deep learning, and machine learning — have been a major area of development for nearly a decade. Since 2018, team from the Lincoln

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The Agentic Data Science Playbook

The following article originally appeared on Vanishing Gradients and is being republished here with the authors’ permission When an AI agent can explore a dataset, choose a modeling approach, run the analysis, and explain its findings, what should the data scientist do? Traditionally, data scientists chose each step and implemented much of the analysis themselves.

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A Data Center Is a Dependency Graph Before It Is a Building

The buildings and physical infrastructure for a new hyperscale data-center region are complete. Power is live and redundant, the cooling loops are balanced, the network fabric is up, and tens of thousands of machines are racked, cabled, and reporting healthy. Every milestone on the construction schedule is closed. The region will not carry production traffic

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MIT students gain a humanist lens on technical innovation in Tulsa, Oklahoma

When MIT mechanical engineering student Daphne Wang arrived for her internship at the Muscogee Creek Nation Department of Health in Tulsa, Oklahoma last summer, she expected to be writing code. To her surprise, she found herself analyzing tribal history and the implications for technical innovation. “I learned so much that I think should be required curriculum

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Banner for AI & Big Data Expo by TechEx events.

Coca-Cola uses AI to improve retailer ordering in Malaysia

Coca-Cola is using AI to recommend which products Malaysian retailers should order and in what quantities through its Coke Buddy platform. The Perfect Basket feature uses Coca-Cola’s Central Recommendation Engine to analyse previous orders, ordering frequency, seasonality, weather, and purchasing patterns among similar businesses. Coca-Cola said Coke Buddy currently supports about 39,000 retail outlets across

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