You’re Thinking About AI and Water All Wrong
Fears about AI data centers’ water use have exploded. Experts say the reality is far more complicated than people think.
You’re Thinking About AI and Water All Wrong Read More »
Fears about AI data centers’ water use have exploded. Experts say the reality is far more complicated than people think.
You’re Thinking About AI and Water All Wrong Read More »
Let’s say an environmental scientist is studying whether exposure to air pollution is associated with lower birth weights in a particular county. They might train a machine-learning model to estimate the magnitude of this association, since machine-learning methods are especially good at learning complex relationships. Standard machine-learning methods excel at making predictions and sometimes provide
New method improves the reliability of statistical estimations Read More »
The order creates a Justice Department task force to challenge state AI laws and directs the Commerce Department to pull future broadband funding from states that pass “onerous” legislation.
Trump Signs Executive Order That Threatens to Punish States for Passing AI Laws Read More »
This post was written with Bryan Woolgar-O’Neil, Jamie Cockrill and Adrian Cunliffe from Harmonic Security Organizations face increasing challenges protecting sensitive data while supporting third-party generative AI tools. Harmonic Security, a cybersecurity company, developed an AI governance and control layer that spots sensitive data in line as employees use AI, giving security teams the power
This post was written with Arun Sittampalam and Maxime Darcot from Swisscom. As we navigate the constantly shifting AI ecosystem, enterprises face challenges in translating AI’s potential into scalable, production-ready solutions. Swisscom, Switzerland’s leading telecommunications provider with an estimated $19B revenue (2025) and over $37B Market capitalization as of June 2025 exemplifies how organizations can
Today we’re announcing Amazon SageMaker AI with MLflow, now including a serverless capability that dynamically manages infrastructure provisioning, scaling, and operations for artificial intelligence and machine learning (AI/ML) development tasks. It scales resources up during intensive experimentation and down to zero when not in use, reducing operational overhead. It introduces enterprise-scale features including seamless access
Scaling MLflow for enterprise AI: What’s New in SageMaker AI with MLflow Read More »
The rise of artificial intelligence (AI) agents marks a change in software development and how applications make decisions and interact with users. While traditional systems follow predictable paths, AI agents engage in complex reasoning that remains hidden from view. This invisibility creates a challenge for organizations: how can they trust what they can’t see? This
Amazon Bedrock AgentCore Observability with Langfuse Read More »
The ChatGPT-maker is releasing its “best model yet” as it faces new pressures from Google and other AI competitors.
OpenAI Launches GPT-5.2 as It Navigates ‘Code Red’ Read More »
Disney is hedging against the future. OpenAI is clearing a path for Sora. And together they’ve made a blueprint for how AI and Hollywood can move forward.
The Disney-OpenAI Deal Redefines the AI Copyright War Read More »
The 300-person startup hopes bringing designers aboard will give it an edge in an increasingly competitive AI software market.
Cursor Launches an AI Coding Tool For Designers Read More »