Energy Department Launches Speed to Power Initiative, Accelerating Large-Scale Grid Infrastructure Projects

The Speed to Power Initiative seeks information on multi-gigawatt generation, transmission, and grid infrastructure projects that enable the power needed to win the AI race.

New Bill Aims to Block Both Online Adult Content and VPNs

A proposed bill in Michigan has a broad reach that covers everything from adult AI content to manga and even depictions of transgender people. It includes a VPN ban to avoid workarounds.

Use AWS Deep Learning Containers with Amazon SageMaker AI managed MLflow

In this post, we show how to integrate AWS DLCs with MLflow to create a solution that balances infrastructure control with robust ML governance. We walk through a functional setup that your team can use to meet your specialized requirements while significantly reducing the time and resources needed for ML lifecycle management.

Nscale secures $700 million Nvidia investment as it builds hyperscale AI infrastructure across the UK

Microsoft and OpenAI have also invested in London-based Nscale

Gecko Robotics releases StratoSight drone-based roof inspection system

Gecko Robotics said it found a large, untapped market in automating commercial roof inspections with StratoSight.

NVIDIA to buy $5B stake in Intel, expanding AI partnership

Governing with Artificial Intelligence

Artificial intelligence (AI) is one of the most transformative forces of the 21st century, becoming an integral part of digital government worldwide. Governments’ use of AI can facilitate automated and tailored internal processes and public services; foster better decision making and forecasting; improve fraud detection; and improve public servants’ job quality and learning — with tangible impacts. This report explores 200 real-world examples of how governments are using AI across 11 core functions — from delivering public services and administering justice to fighting corruption, managing finances, and reforming the civil service. It highlights the unique opportunities and risks AI presents...

Why Nvidia Just Invested $5 Billion in Its Competitor, Intel

Nvidia and Intel will team up to work on data centers that form the backbone of AI infrastructure as well as personal computer products.

​​Don’t Fire Your Developers! What AI-Enhanced Software Development Means For Technology Executives​

You’ve heard the stories. “More than a quarter of all new code at Google is generated by AI,” boasts Sundar Pichai. “Twenty or thirty percent of [Microsoft’s] code … is written by software,” Satya Nadella proclaims. At the same time, companies seem to be freezing hiring – or outright firing – their developers. All of […]

Democratizing AI Safety with RiskRubric.ai

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

These are my reasons to worry less about loss of control over LLM-based agents

OpenAI recently published an interesting paper where they claimed that there would be a "straightforward fix" to hallucinations: "Penalize confident…

Two Teens Allegedly Killed by AI Wrote the Same Eerie Phrase in Their Diaries Over and Over

There are haunting parallels between two cases involving teens killing themselves after becoming infatuated with Character.AI chatbots.

Why AI could make people more likely to lie

A new study has revealed that people feel much more comfortable being deceitful when using AI

The Numerical Analysis of Differentiable Simulation: Automatic Differentiation Can Be Incorrect

ISCL Seminar Series The Numerical Analysis of Differentiable Simulation: How Automatic Differentiation of Physics Can Give Incorrect Derivatives Scientific machine learning (SciML) relies heavily on automatic differentiation (AD), the process of constructing gradients which include machine learning integrated into mechanistic models for the purpose of gradient-based optimization. While these differentiable programming approaches pitch an idea of “simply put the simulator into a loss function and use AD”, it turns out there are a lot more subtle details to consider in practice. In this talk we will dive into the numerical analysis of differentiable simulation and ask the question: how numerically...

Meet Glenn™, Insight Medbotics’ Next-Generation MRI-Compatible Robotics System for Prostate Cancer Care

/PRNewswire/ - Insight Medbotics, an interventional oncology company advancing precision in cancer care through its MRI-compatible robotics, is previewing a...

The $4trn accounting puzzle at the heart of the AI cloud

A beancounter’s look at the hyperscalers’ balance-sheets

This new AI tool can predict your risk of 1,000+ diseases

A new kind of medical crystal ball

4D1 launches T2 for rugged, millimeter-level 3D indoor positioning

Canadian startup 4D1 says its T2 precise indoor positioning system provides AI-ready operational data for manufacturing automation.

AI models must adapt or die

The technology has already consumed almost all high-quality data — experience is now the dominant medium of improvement

Amazon unveils new AI-powered tools to help sellers launch more winning products with greater speed

New innovations give sellers unique insights to help them build sought-after products, reduce launch costs, and improve discoverability and conversion to drive new selection success.

Nvidia to invest $5 billion in Intel; companies will work together on AI infrastructure and PCs

NEW YORK (AP) — Nvidia, the world’s leading chipmaker, announced on Thursday that it’s investing $5 billion in Intel and it will collaborate with the struggling semiconductor company on…

Insurance Money Is Latest Funding Source for AI Developers

Wall Street is turning to life insurance capital to meet artificial intelligence’s insatiable funding needs, melding the AI boom with a fast growing source of assets for the biggest private equity firms. Apollo Global Management, one of the largest asset managers, recently bought Texas-based ...

How to Make Enterprise Gen AI Work

It’s time for organizations to shift from ad hoc employee experimentation with generative AI to honed, measurable, enterprise-aligned efforts such as enterprise knowledge assistants and customer service chatbots. These tools translate generative AI’s open-ended capabilities into applications that address specific, known use cases and include access to more data, standardization across the organization, lower risk because of more oversight, and, in theory, greater ROI because the efforts are targeted and measurable. But the same qualities that make enterprise gen AI systems more beneficial make them difficult to build; integrating high-quality data across complex systems, orchestrating data flows, and aligning outputs...

China’s DeepSeek says its hit AI model cost just $294,000 to train

Chinese AI developer DeepSeek said it spent $294,000 on training its R1 model, much lower than figures reported for U.S. rivals, in a paper that is likely to reignite debate over Beijing's place in the race to develop artificial intelligence.