In February of this year, the JPEG AI international standard was published, after several years of research aimed at using machine learning techniques to produce a smaller and more easily transmissible and storable image codec, without a loss in perceptual quality. One possible reason why this advent made few headlines is that the core PDFs […]<br /> The post JPEG AI Blurs the Line Between Real and Synthetic appeared first on Unite.AI. [...]
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]
DJI’s Osmo Pocket 3 gimbal-camera was a category-defining camera. Two years since its launch, everyone from vloggers to pro film makers continue to upload how-to guides and gushing reviews to YouTub [...]
In a world where a viral TikTok video can cause a brand to trend globally in mere hours, the traditional market research cycle — often spanning 12 weeks — is becoming a liability. The lag between [...]
There is a war brewing between AI and consulting. Akin to an armies slow march towards the castle, a new technology is coming to dethrone the expert guessers of Mckinsey, Nielsen, Gartner, Publicis an [...]
Meta releases the third generation of its "Segment Anything Model." Unlike standard models limited to fixed categories, SAM 3 uses an open vocabulary to understand both images and videos. Th [...]
The UK AI Security Institute (AISI) disclosed last night that the leading two frontier AI models from Anthropic and OpenAI took 19 unsanctioned actions against the live internet during cybersecurity t [...]
Presented by Veriff Americans can’t reliably distinguish real from AI-generated content, and that’s not just a media literacy problem; it’s a direct threat to how businesses verify identity onli [...]