Who will you learn from at #CRSScottsdale# this Fall? Hear CX leaders from @ritzcarltonyc, @GetCorpay, @zillow, @turo, @YETICoolers, @MercedesBenz, @Microsoft, @Intuit, @priceline, @StateFarm, @Travelzoo, @CoxComm, and more. Register: #ExecsInTheKnow#

Industrial digital twins are helping shape the future of physical AI in manufacturing.🏭 At #NVIDIAGTC# Berlin, hear from the leaders bringing simulation, agentic AI, robotics, and autonomous systems from concept to the factory floor. Don't miss: 👉 Building Europe’s Industrial Future with NVIDIA’s Open Physical AI Platform 👉 Automation Meets Autonomy: Europe’s Next Era of Robotics - Agile Robots, @dexoryHQ, @wandelbots 👉 Building the Automotive Physical AI Playbook: Factory Robotics and Autonomous Vehicles - @MercedesBenz 🔗

Today, we’re excited to announce that we’ve raised more than $935M in Series A funding with a $520M Series A-X extension round, bringing our total capital raised to nearly $1B. This milestone is a powerful vote of confidence in our mission: building AI-powered humanoid robots designed to work alongside humans. With this new funding, we’ll be able to: - Ramp production of #Apollo# - Expand global commercial and pilot deployments - Build next-generation facilities for robot training and data collection - Accelerate real-world impact across manufacturing, logistics, and beyond We’re proud to be backed by an incredible group of repeat and new investors, including @BCapitalGroup, @Google, @MercedesBenz, @ATT Ventures, @JohnDeere, QIA, and more. The future of embodied #AI# is happening now, and Apollo is just the beginning. - Read the full announcement: - Explore open roles:

Mercedes-Benz just signed on to put Wayve's AI Driver into production cars within two years. That makes three major automakers: Nissan, Stellantis & now Mercedes. The interesting part is how Wayve drives, because it breaks with how self-driving has been built for fifteen years. The traditional approach is a stack of separate modules: one detects objects, one predicts what they'll do, one plans a path & they all rely on detailed pre-built maps of every street. It works, but every new city needs its own mapping & engineering. Wayve uses a single end-to-end neural network. Camera & sensor data go in, driving decisions come out, with no high-definition maps. It learns driving the way a language model learns language- from enormous amounts of examples. Wayve says it drove "zero-shot" in more than 500 cities across Europe, North America & Japan within a year. Zero-shot means no city-specific training before arriving. If that holds up at scale, it solves the biggest cost problem in autonomy. What consumers get first is more modest. From 2027, hands-off driving on supervised roads - the car steers, navigates and handles traffic, but you are still responsible & watching. Three automakers betting on the same approach is the real signal here. They're not buying a feature. They are betting the module stack was the wrong architecture.