August 2025

DeepSeek’s plan to train its new AI model, R2, on Huawei’s Ascend chips has failed and forced a retreat to Nvidia while delaying launch. For months, the narrative pushed by Beijing has been one of unstoppable technological progress and a march towards self-sufficiency. However, reality has a habit of biting back. The recent troubles of […]

A week after Huawei announced its decision to open-source the CANN (Compute Architecture for Neural Networks) software toolkit, the tech industry is still processing what this move means for the future of AI development. By making its Huawei CANN open source alternative to CUDA freely available to developers worldwide, the Chinese tech giant has fired

Anthropic has detailed its safety strategy to try and keep its popular AI model, Claude, helpful while avoiding perpetuating harms. Central to this effort is Anthropic’s Safeguards team; who aren’t your average tech support group, they’re a mix of policy experts, data scientists, engineers, and threat analysts who know how bad actors think. However, Anthropic’s

SoundHound AI, already a major player in voice assistants, is now giving its technology a pair of eyes. Imagine driving past a landmark and, without pulling out your phone, asking your car, “What’s that building over there?” and getting an instant answer. That’s what SoundHound AI is building.  With the launch of Vision AI, SoundHound’s

NVIDIA’s latest RTX PRO 6000 Blackwell Server Edition GPU will soon be available in enterprise servers. Systems from Cisco, Dell Technologies, HPE, Lenovo, and Supermicro will ship various configurations in 2U servers. Nvidia says they will offer higher performance and efficiency for AI, graphics, simulation, analytics, and industrial applications, and support tasks like AI model

The world is in a race to deploy AI, but a leading voice in technology ethics warns prioritising speed over safety risks a “trust crisis.” Suvianna Grecu, Founder of the AI for Change Foundation, argues that without immediate and strong governance, we are on a path to “automating harm at scale.” Speaking on the integration

A powerhouse team has launched a new initiative called ‘Doing AI Differently,’ which calls for a human-centred approach to future development. For years, we’ve treated AI’s outputs like they’re the results of a giant math problem. But the researchers – from The Alan Turing Institute, the University of Edinburgh, AHRC-UKRI, and the Lloyd’s Register Foundation

Generative AI is entering a more mature phase in 2025. Models are being refined for accuracy and efficiency, and enterprises are embedding them into everyday workflows. The focus is shifting from what these systems could do to how they can be applied reliably and at scale. What’s emerging is a clearer picture of what it

A growing body of evidence suggests that over-reliance on AI could be eroding the human skills needed to use it effectively. Research warns this emerging human skills deficit threatens the successful adoption of AI and, with it, an opportunity for economic growth. It feels like not a day goes by without another proclamation about how

While other tech companies push out AI tools at full speed, Apple is taking its time. Its Apple Intelligence features – shown off at WWDC – won’t reach most users until at least 2025 or even 2026. Some see this as Apple falling behind, but the company’s track record suggests it prefers to launch only