Archive: May 2017

Saudi Aramco takes 49 percent stake in AI firm Humain with $2.6 billion deal Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner Nov 2, 2026 Saudi Aramco is buying into Humain, the company meant to turn Saudi Arabia into a global AI hub. According to Aramco, the oil giant is taking a 49 percent stake and contributing about $2.6 billion in 2026 along with its own AI technology. Humain was founded in May 2025 by the sovereign wealth fund P

Canva said that this approach allows it to create images with accurate details of objects and legible text. Plus, users would be able to make precise edits without changing other parts of the image. The company noted that rather than using photographs, it used designs to train this model using human-designed templates from Canva’s library, including posters, social posts, presentations, infographics, menus, and typography-rich layouts. That means images ge

Zhidx (WeChat official account: zhidxcom) Compiled by | Sun Xiaowen Edited by | Cheng Qian Zhidx reported on November 5 that last night, U.S. data center developer and operator TeraWulf announced that it had signed a credit support agreement with Google, under which Google will provide credit support for debt financing for TeraWulf’s Justified data center project. TeraWulf disclosed that it had signed an engineering, procurement and construction agreement

We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind. Self-play ensures that the environment is always the right difficulty for an AI to improve. Taken alongside our Dota 2 self-play results, we have increasing confidence that self-play will be a core part of powerful AI systems in the futu

OpenAI and the U.S. Department of Energy have signed a memorandum of understanding to deepen collaboration on AI and advanced computing in support of scientific discovery. The agreement builds on ongoing work with national laboratories and helps establish a framework for applying AI to high-impact research across the DOE ecosystem.