Android updates have gotten tricky to keep track of these days — between the polar-opposite problems of unpredictably poky progress from most non-Google device-makers and perplexingly overlapping updates from Google with its self-controlled Pixel phones.  (What’s this update I’m seeing now? Is it Android 16, the Android 16 “QPR1” or “QPR2” quarterly update, some manner

Last week, the privacy-focused messaging service Signal was temporarily shut down when Amazon Web Services (AWS) suffered a major outage. This led to criticism of Signal’s use of such a dominant provider as AWS. Signal CEO Meredith Whittaker has now commented that Signal basically has no other choice. “The problem is the concentration of power

While there were solid improvements in the last generation of Apple’s popular wearable, the huge 24-hour battery life in Apple Watch Series 11 means this smartwatch has finally become what it always promised to be: a device capable of running all day and all night, which is especially for tasks like sleep tracking. Based on my

Major US tech companies are spending more money than ever lobbying the EU to influence its digital rules, Politico reports. Artificial intelligence and rules such as the Digital Markets Act (DMA) and the Digital Services Act (DSA) will be a particular focus. A new analysis shows that 733 digital sector players together spend around €151

OpenAI is putting more safety controls directly into the hands of AI developers with a new research preview of “safeguard” models. The new ‘gpt-oss-safeguard’ family of open-weight models is aimed squarely at customising content classification. The new offering will include two models, gpt-oss-safeguard-120b and a smaller gpt-oss-safeguard-20b. Both are fine-tuned versions of the existing gpt-oss

AI startup company, Counterintuitive, has set out to build “reasoning-native computing,” enabling machines to understand rather than simply mimic. Such a breakthrough has the potential to shift AI from pattern recognition to genuine comprehension, paving the way for systems that can think and make decisions – in other words, to be more “human-like.” Counterintuitive Chairman,

For many years, Nvidia has been the de facto leader in AI model training and inference infrastructure, thanks to its mature GPU range, the CUDA software stack, and a huge developer community. Moving away from that base is therefore a strategic and tactical consideration. Huawei AI represents an alternative to Nvidia, with the Chinese company

Cursor has released its latest AI software development platform with a new multi-agent interface and the debut of its coding model, Composer. The new Composer model is described as a “frontier model”. Cursor claims it is four times faster than other models of similar intelligence. The company built it specifically for “low-latency agentic coding” within

Redefining AI Development with On-Demand, Token-Based Inferencing and Seamless RAG Workflows on NVIDIA AI Infrastructure Qubrid AI, a leading full-stack AI platform company, today announced the launch of its new Advanced Playground for Inferencing and Retrieval-Augmented Generation (RAG) powered by NVIDIA AI infrastructure for unmatched performance, scalability, and efficiency. The announcement was made at the NVIDIA GTC Conference in Washington, D.C., where Qubrid

Foretellix today announced the integration of its Foretify Physical AI toolchain with the NVIDIA DRIVE AV platform to enable advanced methods for training, testing, validation, and safety evaluation in autonomous driving development. The integration connects Foretellix’s coverage-driven verification and validation capabilities and Synthetic Data Generation (SDG) technology with NVIDIA’s end-to-end AV software stack, supporting the industry’s progress toward safe L2++,