Following the acquisition, the Cinemersive Labs team will join SIE's Visual Computing Group (VCG) and contribute to our broader efforts in advancing state of the art visual computing within games. This includes applying machine learning to enhance gameplay visuals, improve rendering techniques, and unlock new levels of visual fidelity for players.
The savings disappear the moment you hit real-world complexity. Disparate data sources and messy inputs, ambiguous situations without clear rule sets, or actually any domain where the rules aren't already obvious. And someone still has to write all those rules.
The Learning and Development (L&D) landscape relied on the same standardized programs and inflexible slide decks for decades. This model complied with basic training on a repeat basis. Basic training overshadowed what true talent development could (and should) offer. The pace of business transformation has surpassed our capacity to keep curricula up to date. Today, the old training model isn't just inefficient; it is insufficient.
Project Genie, which is currently only available for Google's AI Ultra subscribers, uses AI to build virtual worlds. That sounds interesting, if not necessarily revolutionary. Videogame developers already model and build virtual worlds all the time. Project Genie's simple concept, though, belies the tech's potential impact. The new system, and the Genie 3 model behind it, have the potential to forever change how videogames are built and played.
AI agents need skills - specific procedural knowledge - to perform tasks well, but they can't teach themselves, a new research suggests. The authors of the research have developed a new benchmark, SkillsBench, which evaluates agentic AI performance on 84 tasks across 11 domains including healthcare, manufacturing, cybersecurity and software engineering. The researchers looked at each task under three conditions:
What happens under the hood? How is the search engine able to take that simple query, look for images in the billions, trillions of images that are available online? How is it able to find this one or similar photos from all that? Usually, there is an embedding model that is doing this work behind the hood.
