NVIDIA Blog (1 week ago)
Telecom operators are increasingly building their AI strategies on open models — and the reasons go beyond mere cost. Open models give telcos the ability to trust, control and customize AI across their most critical workloads — from autonomous networks to customer care. NVIDIA’s latest State of AI…
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Alongside the new Apple HomeView, upgraded Apple TV 4K, and Apple Home Collection, the company also unveiled the HomePod mini 2. The updated smart speaker brings Siri AI, a new Sound Glow feature, support for pairing up to 4 speakers, and new color options.
Flox’s edge devices can identify animals and use species-specific sounds to drive them away from critical infrastructure.
Google has released Gemini 4 Argon globally to paying users, in the Gemini app, in Search and through the API. The $2 and $10 per million token prices are a launch discount against standard rates of $4 and $20. Google has released Gemini 4 Argon to anyone willing to pay for it.
Europe is falling behind the US on AI use at work, and the main reason is not technology, according to a new report.The report from Sifted, sponsored by London Business School, says Europe has an organisational gap rather than a tech gap.
Meta Ray-Ban Audio glasses are sleek and offer long battery life, but where will their AI go next?
Self-replicating AI worms could become a threat in 2027, but there are ways to spot them.
NVIDIA RTX Spark is a new beginning for the PC — a reinvention combining the capabilities of a gaming PC, a creative studio and a personal AI supercomputer into a single superchip.
Companies in France are deploying agentic computing across industries spanning space, financial services, the public sector and scientific research, demonstrating how the country’s ecosystem has moved from ambition to application. France’s progress sits on deliberate groundwork.
As AI factories grow from megawatts to gigawatts, building them takes more than advanced computing. Open standards are helping the industry scale AI infrastructure faster, more efficiently and more reliably.
Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA Omniverse libraries to help carry out that work — building applications for…
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