Vids demonstrates Google’s commitment to integrating AI into everyday workflows, especially in business settings where effective communication is critical. By automating tasks that traditionally required specialized skills, such as scriptwriting and voiceover recording, Vids could empower more users to create professional-quality content without extensive resources. Google’s ongoing improvements to Gemini AI also suggest that new features and expanded language support...
Time’s AI list names China’s cyberspace chief, ByteDance CEO among most influential Time Magazine has included CAC head Zhuang Rongwen and ByteDance CEO Liang Rubo among 30 leaders in AI, along with Baichuan founder Wang Xiaochuan Time Magazine has ranked China’s internet watchdog head and the chairman of TikTok owner ByteDance among the 100 most influential people working in artificial intelligence for their impact on...
Meta has big ambitions for using AI to help creators, and it showed two impressive demos of what that could look like onstage at Connect today. One version of this involves fully recreating real influencers as AI figures. Meta CEO Mark Zuckerberg presented a live demo of a creator-based AI persona, which looked like the creator, talked like the creator...
On Wednesday, Reuters reported that Safe Superintelligence (SSI), a new AI startup cofounded by OpenAI's former chief scientist Ilya Sutskever, has raised $1 billion in funding. The 3-month-old company plans to focus on developing what it calls "safe" AI systems that surpass human capabilities. The fundraising effort shows that even amid growing skepticismaround massive investments in AI tech that so far have failed to be...
Microsoft AI CEO Mustafa Suleyman is overseeing an overhaul that gives Copilot an empathetic voice, the ability to see, and more advanced reasoning skills. Mustafa Suleyman was at the center of an artificial intelligence revolution once before. As a cofounder of DeepMind, a British company acquired by Google in 2014, he helped devise a new way for computers to tackle seemingly impossible problems by...
Video generation requires modeling a vast spatiotemporal space, which demands significant computational resources and data usage. To reduce the complexity, the prevailing approaches employ a cascaded architecture to avoid direct training with full resolution. Despite reducing computational demands, the separate optimization of each sub-stage hinders knowledge sharing and sacrifices flexibility. This work introduces a unified pyramidal flow matching algorithm. It...
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