Google DeepMind and robotics company Apptronik have announced a collaboration to combine their technical expertise in developing AI humanoid robots capable of operating in complex dynamic environments. This partnership aims to advance the deep integration of robotic hardware and artificial intelligence, exploring broader possibilities for robots in both industrial and everyday applications. Apptronik has been independently operating since 2016, spun off from the Human Centered Robotics Lab at the University of Texas at Austin, and has developed 15 different robot models to date, including the...

Recently, Google updated its terms of use for generative AI, clearly stating that customers can deploy its generative AI tools for 'automated decision-making' in 'high-risk' areas such as healthcare, provided there is human oversight. According to the updated 'Generative AI Prohibition Policy' released by Google on Tuesday, customers can use Google's generative AI to make 'automated decisions' that may have a 'significant adverse impact' on individual rights, as long as there is some form of human oversight involved.

Google has officially released its next-generation video generation model Veo2, aiming to compete with OpenAI's Sora. Google claims that Veo2 demonstrates higher realism and intricacy in video generation. This update not only enhances video quality but also improves understanding of real-world physics and the subtle nuances of human movement and expression. Google states that Veo2 has a better understanding of the physics of the real world as well as the nuances of human movement and expression.

Recently, Google added an AI feature to the F12 Developer Tools in its Chrome browser, aiming to provide developers with a more efficient web debugging experience. With this feature, developers can leverage the powerful capabilities of AI to quickly analyze and resolve code issues, enhancing development efficiency. Using the AI feature is very simple. Developers just need to press the F12 key on any webpage, open the Developer Tools, and click the gear icon in the top right corner to access the settings. Then, navigate to 'AI Innov...

In its latest presentation, Google unveiled Project Astra, a plan by the DeepMind team aimed at building real-time, multi-modal AI agents running on a mysterious prototype pair of glasses. On Wednesday, Google announced that it would release these AI and AR-enabled prototype glasses to a select group of users for real-world testing. The translation feature demonstrated on the Google prototype glasses showcases that they are equipped with the Android XR operating system, a new platform designed by Google for visual computing, aimed at supporting glasses and ear devices.

Earlier this year, Google released the sixth generation of TPU, the Trillium, which is the most powerful TPU to date. Today, Trillium is officially available for Google Cloud customers. Google has trained its latest AI model, Gemini 2.0, using the Trillium TPU, making it the strongest AI model created by Google so far. Now, enterprises and startups can leverage the same robust, efficient, and sustainable infrastructure. The core of the AI supercomputer: Tri

Tech giants Google and Samsung have recently unveiled a new generation of mixed reality headsets and smart AI glasses. These devices not only feature significant hardware upgrades but also integrate deeply with Google's latest Gemini AI model, showcasing their ambitious goals in the mixed reality field. Both devices support Virtual Reality (VR) and Augmented Reality (AR) functionalities, but their biggest highlight is the deep application of AI. With Gemini's powerful computing capabilities, these devices can understand user intentions.

Google recently released a new AI tool called Deep Research, utilizing its Gemini bot to assist users in conducting in-depth research online. Currently, the tool is only available to Gemini Advanced subscribers and supports English users only. Users can give simple commands to have Gemini research specific topics and generate a detailed research report. When using Deep Research, users just need to tell Gemini what they are looking for.

Google recently announced the launch of its sixth-generation AI accelerator chip, Trillium, claiming that this groundbreaking technological advancement could fundamentally change the economics of artificial intelligence development and push the boundaries of machine learning. The Trillium chip has demonstrated significant performance improvements during the training process of Google's newly released Gemini 2.0 AI model, achieving training performance four times that of the previous generation while significantly reducing power consumption. Google CEO Sundar Pichai emphasized at the launch event that the Trillium chip...