AI is rapidly replacing manual searches and spreadsheets with proactive, risk‑aware sourcing. PRMAI’s recent briefing shows that AI now automatically surfaces relevant vendors and pricing, embeds compliance checks directly into the orchestration layer, and unifies sourcing, contracts and…
Major publishers band together to curb AI‑driven content scraping as lawsuits and high‑value licensing deals reshape the news‑AI landscape
Key developments: Over 40 news organisations—including the New York Times, The Economist and AFP—have joined a coalition that pressures AI firms to pay for the use of their journalism. This move follows a wave of litigation, such as USA Today’s recent…
AI‑Design Rush: NVIDIA’s New Tools Power Faster Chip Creation, but Benchmarks Show Limits
Key developments: – NVIDIA’s leadership says AI is now essential for chip design, with AI agents able to explore new architectures “overnight” and boost performance and energy efficiency. – At SEMICON West, NVIDIA announced a suite of CUDA‑X…
AI‑Driven Energy Optimisation Set to Slash Power Use and Boost Data‑Center Resilience
Key developments – Industry leaders will convene at ADIPEC 2026 to map out how AI can cut energy use in power generation and grid operations, with the International Energy Agency estimating up to $110 billion in annual savings by…
AI and Energy Sectors Converge on $110 Billion Savings, New Grid Tools, and Compact UPS Solutions
Key developments: – Industry leaders are gathering at ADIPEC 2026 to showcase how AI can overhaul energy demand, grid infrastructure, and operational efficiency. The International Energy Agency estimates that widescale AI use could save up to $110 billion a…
AI-driven breakthrough doubles sub-seasonal forecast skill and beats climate averages
A new machine‑learning technique known as probabilistic bias correction (PBC) is dramatically improving weather forecasts for the critical two‑to‑six‑week window. By learning from past errors in existing models and correcting systematic biases, the approach doubled forecasting accuracy when…
AI‑driven breakthrough doubles accuracy of 2‑to‑6‑week weather forecasts
A new machine‑learning post‑processing method is rapidly reshaping long‑range weather prediction. Researchers led by MIT and Microsoft introduced Probabilistic Bias Correction (PBC), a technique that learns systematic errors in existing numerical and AI models and corrects them without…
AI‑Boosted Subseasonal Forecasts Double Predictive Skill, Offering New Climate‑Planning Tools
A novel machine‑learning approach—probabilistic bias correction—has been shown to double the skill of AI‑driven weather forecasts for the crucial two‑to‑six‑week “subseasonal” window. By learning from historic errors in both AI and traditional physics‑based models, the method corrects systematic…
MIT AI technique doubles subseasonal weather forecast skill, beating climate averages
A machine‑learning post‑processing layer built by MIT researchers has shattered a long‑standing barrier in weather prediction. By learning from past errors of a leading dynamical model and correcting them, the AI system doubled forecast accuracy for the two‑to‑six‑week…
AI Agents Accelerate Yields, Cut Water Use and Expand Globally in 2026
Key developments: AI agents are now delivering measurable gains—some deployments have lifted crop yields by up to 40 % and reduced water use by as much as 30 %—and are moving from data dashboards to autonomous agronomy. The sector’s rapid…