Latest news with #Gemini2.0Pro
Yahoo
5 days ago
- Business
- Yahoo
Cineverse announces commercial availability of cineSearch for Business
Cineverse (CNVS) announced that the newly-formed Cineverse Technology Group has officially launched cineSearch for Business. The AI-powered content search and discovery tool is complete and now available for commercial licensing to OEMs and streaming platforms, both through the Company's growing sales team and through Google Cloud Marketplace. As previously announced, cineSearch was developed using Google Cloud's Vertex AI platform and Gemini 2.0 Pro model. A reference design of cineSearch is currently available for free at Easily unpack a company's performance with TipRanks' new KPI Data for smart investment decisions Receive undervalued, market resilient stocks right to your inbox with TipRanks' Smart Value Newsletter Published first on TheFly – the ultimate source for real-time, market-moving breaking financial news. Try Now>> See Insiders' Hot Stocks on TipRanks >> Read More on CNVS: Disclaimer & DisclosureReport an Issue Cineverse Announces New Employment Agreement with Antonio Huidor Cineverse participates in a conference call with Benchmark Cineverse announces formation of Cineverse Motion Pictures Group Cineverse acquires U.S. rights for Return to Silent Hill Cineverse Updates Executive Employment Agreements
Engadget
6 days ago
- Business
- Engadget
Meta is reportedly forming an "AI Superintelligence" team
Meta chief Mark Zuckerberg has been recruiting experts to join a team he's assembling to achieve AI superintelligence, according to Bloomberg and The New York Times . Zuckerberg has reportedly been discussing potential recruits with other senior leaders from the company in a WhatsApp group chat dubbed "Recruiting Party." He reportedly has a personal list of recruits, which include AI researchers, infrastructure engineers and other entrepreneurs. Zuckerberg has invited them to lunch and dinner at his homes in California to get them to join his team over the past month. At the moment, the immediate goal of AI companies is to achieve true artificial general intelligence (AGI), wherein a machine has human-level intelligence and can achieve any task a human can do. Superintelligence is a step beyond that. An AI system with superintelligence is supposed to have intellectual powers far beyond any human's. The Times says Zuckerberg has already tapped Alexandr Wang, the founder of AI startup Scale AI, to join the new team. Meta is planning to invest billions of dollars into Wang's company, which provides other AI companies with data to train their models. The deal will also bring Scale's other employees onboard Meta, though it's unclear if any of them are joining the new team, as well. Meta has also offered dozens of AI experts from other companies, including Google and Open AI, compensation packages worth seven to nine figures to join the team. Some, according to The Times, have already agreed. In his pitch to potential recruits, Zuckerberg apparently said that his company's advertising business can finance its own AI development even if it costs tens of billions of dollars, unlike rivals who have to raise funds first. Zuckerberg, Bloomberg said, decided to oversee recruitment himself due to frustration over the quality of and the public's response to Meta's Llama 4 large language model. Llama 4 wasn't well-received, and critics argued that Meta overpromised but underdelivered. The company also had to delay the release of its "Behemoth" Llama 4 model, which the company vowed will outperform "GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on several STEM benchmarks."
The Hindu
15-05-2025
- Business
- The Hindu
Google DeepMind unveils AlphaEvolve, an AI agent that can generate new algorithms
Google DeepMind has announced a new AI agent that can solve complex coding and math problems, called AlphaEvolve. In a blog posted about the release, the company said that AlphaEvolve can improve the efficiency of data centers, chip design and AI training processes, including 'training the large language models underlying AlphaEvolve itself.' The algorithm generated by AlphaEvolve was deployed at Google's Borg cluster management system for their data centers which led to a 0.7% recovery in their fleet-wide compute resources on average, CEO Sundar Pichai noted. 'AlphaEvolve discovered new efficient algorithm for matrix multiplication, a fundamental problem in Computer Science, improving Strassen's method that has stood for 50 years. Applied to 50 open Math problems, it matched the best known answers 75% of the time and improved on 20%,' Pushmeet Kohli, head of AI for science at DeepMind added. The agent is able to generate code using the lightweight Gemini 2.0 Flash language model after which a self-evaluating method to rank the code in terms of quality. Then, AlphaEvolve picks out the best pieces of code and improves them over multiple rounds. Once it reaches a point where no more suggestions are made, the agent starts using Gemini 2.0 Pro. This reduces the risk of hallucinations which are common even in the most advanced large language models. DeepMind said that AlphaEvolve also made changes to Google's Tensor processing hardware by removing unnecessary bits from the chip's Verilog hardware description.
