The database is the last bottleneck in your dev workflowDatabase branching is the...

The US government warns programmable logic controllers are being targeted, and research turns up 179 vulnerable operational technology (OT) devices.

Its Mythos Preview model, which can allegedly find and exploit critical zero-days, also comes with certain controls, the vendor said.

Plus: Spotify reveals what agentic-first development looks like, Meta is measuring engineers by token usage, YouTube makes AI slop easier to create

A new chip design from UC San Diego could make data centers far more energy-efficient by rethinking how power is converted for GPUs. By combining vibrating piezoelectric components with a clever circuit layout, the system overcomes limitations of traditional designs. The prototype achieved impressive efficiency and delivered much more power than previous attempts. Though not ready for widespread use yet, it points to a promising future for high-performance computing.

Rebellions said it will work with the companies to boost AI and telecom data centers, as it pushes its market expansion.

Global venture funding to financial technology startups totaled $12 billion across 751 deals in 2026 as of April 6, per Crunchbase data. That’s a 5% increase in dollars raised compared to the $11.4 billion raised across 1,097 deals during the same time period in 2025.

We call it machine learning. But do machines actually learn? Today's AI systems train, optimize, and scale, but real learning is something else entirely. The distinction matters more than the industry wants to admit.

Next-generation AI assistants being developed in the Apple ecosystem and by chipmakers like Qualcomm, but early reports suggest they are being designed with limits in place. Tom’s Guide has described early versions of these assistants as capable of navigating apps, carrying out bookings, and managing tasks in services. For instance a private beta agentic system […] The post Why companies like Apple are building AI agents with limits appeared first on AI News.

Agentic analytics (often referred to as agent analytics) is an approach where autonomous AI agents explore data...

PLUS: Automate your business with custom Notion Agents

The open-source AI movement has never lacked for options. Mistral, Falcon, and a growing field of open-weight models have been available to developers for years. But when Meta threw its weight behind Llama, something shifted. A company with three billion users, vast compute resources, and the credibility of a tech giant was now building openly, […] The post Meta has a competitive AI model but loses its open-source identity appeared first on AI News.

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