Qualcomm announcing a new acquisition as it makes a deeper push into robotics. Our Christina parts is watching that and today's tech jack. A busy day in the chip space.KP. >> Oh, it's it's always busy which is great for me and this job at CNBC. But let's talk about Qualcomm because they just announced it's acquiring Arduino I should say for an undisclosed sum which should close in the coming weeks I'm told.But this deal is more than about hardware. It's about positioning for what the industry is calling the ...

One of my favorite things to find on the internet now are these videos of all the humanoid robots. Many times in the videos, they're walking. They're going up and down the stairs. They're putting things away in the refrigerator. They're folding clothes.They're even spinning around on the ground. Every time I say to myself, "Man, those robots are pretty athletic. They look pretty smart. And frankly, I just want one. I want to own it. I want it to be in my house, in my office. I want to walk around with me." ...

Core Insights - Qualcomm is acquiring Arduino to strengthen its position in the robotics industry and gain access to a broader range of developers and startups [1][2][3] - The acquisition allows Qualcomm to tap into the prototyping and testing phase of robotics development, which is crucial for future commercial product launches [2][4] - The move is part of Qualcomm's strategy to diversify its revenue streams away from mobile chips, especially as the smartphone market faces challenges [4] Group 1: Acquisition Details - Qualcomm did not disclose the financial terms of the acquisition, but Arduino will operate as an independent subsidiary [2] - Arduino's products are primarily used for prototyping and cannot be used for commercial products, making them popular among hobbyists and startups [2] Group 2: Strategic Goals - Qualcomm aims to build loyalty and legitimacy among startups and builders in the robotics sector, as the demand for powerful chips for AI applications grows [3] - The company is looking to leverage its IoT and automotive business, which together accounted for 30% of overall revenue from chip sales in the most recent quarter [5]

Core Insights - Humanoid Global Holdings Corp. is focused on building a portfolio of pioneering companies in the humanoid robotics and embodied AI sector, with a recent update from RideScan Ltd highlighting significant advancements in technology and funding [1][6] Group 1: Patent and Technology Development - RideScan has filed a foundational patent application with the UK Intellectual Property Office to protect its unique approach to independent risk scoring and anomaly detection in robotics, which aims to enhance robotic safety and reliability [2] - The patent-pending technology is designed to support applications from mission-level risk assessment to proactive maintenance and certification [2] - RideScan is entering pilot deployments across various robotics ecosystems to demonstrate its ability to provide independent, AI-driven insights into robot health and performance [3] Group 2: Pilot Programs and Collaborations - RideScan is assembling a cohort of 10 organizations to integrate its API across different robotics platforms, aiming to reduce downtime and enhance operational safety through independent robotic health checks [4] - The cohort includes engineers and teams from research institutions and corporations in the robotics field, focusing on identifying issues before they escalate and uncovering hidden anomalies [4] Group 3: Funding and Financial Support - RideScan has been awarded £50,000 from the Innovate UK Growth Catalyst Early Stage: New Innovators grant to support the expansion and commercialization of its core technology, with execution starting on November 1, 2025 [5] - Additionally, RideScan has secured £40,000 from a Europe-based deep-tech-focused angel syndicate, which includes research scientists from a Fortune 500 company specializing in AI research [5]

Core Insights - Humanoid Global Holdings Corp. is focused on building a portfolio of pioneering companies in the humanoid robotics and embodied AI sector, with a recent update from RideScan Ltd highlighting significant advancements in technology and funding [1][6] Group 1: Patent and Technology Development - RideScan has filed a foundational patent application with the UK Intellectual Property Office to protect its unique approach to independent risk scoring and anomaly detection in robotics, which aims to enhance robotic safety and reliability [2] - The patent-pending technology is designed to support applications from mission-level risk assessment to proactive maintenance and certification [2] - RideScan is entering pilot deployments across various robotics ecosystems to demonstrate its ability to provide independent, AI-driven insights into robot health and performance [3] Group 2: Pilot Programs and Collaborations - RideScan is assembling a cohort of 10 organizations to integrate its API across different robotics platforms, aiming to reduce downtime and enhance operational safety through independent robotic health checks [4] - The cohort includes engineers and teams from research institutions and corporations in the robotics field, focusing on identifying issues before they escalate and uncovering hidden anomalies [4] Group 3: Funding and Financial Support - RideScan has been awarded £50,000 from the Innovate UK Growth Catalyst Early Stage: New Innovators grant to support the expansion and commercialization of its core technology, with execution starting on November 1, 2025 [5] - Additionally, RideScan has secured £40,000 from a Europe-based deep-tech-focused angel syndicate, which includes research scientists from a Fortune 500 company specializing in AI research [5]

Core Insights - The article discusses the development of micro-robots with insect-level autonomy and flexibility, aimed at performing tasks in complex environments such as disaster recovery and industrial inspections [1] - A research team from Huazhong University of Science and Technology has created a flexible electronic robot (FEbot) that integrates structural adaptability and embedded computing capabilities [1][3] FEBots Design and Modular Architecture - The FEbot utilizes a modular architecture combined with an oscillatory driving mechanism, differing from traditional robots that rely on precise leg trajectory control [3] - The FEbot consists of two main components: a programmable flexible electronic module and a distributed setae array made from superelastic alloys [5] Oscillatory Drive and Asymmetric Friction - The movement of the FEbot is driven by an oscillatory mechanism that relies on asymmetric friction, allowing for net forward displacement during each cycle [7] - The study identified three key states in the movement cycle, with the optimal configuration achieving a peak speed of 109.5 mm/s at a driving frequency of 450 Hz [9] Multi-Modal Movement and Environmental Sensing - FEbots exhibit remarkable multi-modal movement capabilities, allowing for quick reconfiguration based on task requirements [10] - The I-type design, inspired by centipedes, can navigate tight spaces and carry loads up to 5.1 times its weight, while the II-type design showcases omnidirectional movement [11][12] Embedded Artificial Intelligence - The research team incorporated an embodied intelligence framework into the FEbot, enabling real-time intelligent decision-making through hyperdimensional computing [15] - The FEbot demonstrated autonomous behaviors such as danger avoidance and thermal gradient tracking, showcasing its ability to process multiple sensor inputs simultaneously [18]

Group 1 - Tesla Inc. has introduced custom Optimus humanoid robots at the premiere of Disney's new movie "Tron: ARES" [1] - The partnership aims to enhance the red carpet experience for attendees through AI-powered interactions, allowing fans to create custom avatars [2][3] - Jared Leto interacted with an Optimus robot during the event, showcasing its martial arts capabilities [4] Group 2 - Tesla is advancing its robotics initiative, with CEO Elon Musk emphasizing the importance of the Optimus robot, which he claims could represent over 80% of Tesla's future value [5][6] - The departure of Ashish Kumar, head of Optimus AI, to Meta Platforms may pose challenges for Tesla's robotics ambitions [6] - Tesla is preparing to launch a new product on October 7, with speculation about an affordable Model Y version and the Tesla Roadster [7] Group 3 - Tesla is performing well in Momentum and Growth metrics, with satisfactory Quality but poor Value, and shows a favorable price trend in the short, medium, and long term [8]

Core Insights - Serve Robotics has deployed its 1,000th autonomous delivery robot, leading to an 11.3% increase in stock price [1] - The company aims to have 2,000 robots operational by the end of the year, with a current deployment rate of 380 robots per month [3] - Despite the growth in robot deployment, Serve Robotics is facing significant financial losses, with a projected loss of $68 million in 2025 [4] Financial Performance - Serve Robotics reported a revenue of $1.8 million last year, with only $1.1 million booked so far in 2025, indicating a potential revenue of $2.2 million for the year [5] - Wall Street expectations for revenue are set at $3.7 million, suggesting a possible shortfall [5] - Analysts predict that Serve Robotics will not achieve profitability until 2031, requiring sales to reach approximately $340 million annually [5] Operational Highlights - The company deployed over 380 third-generation robots in September alone, indicating rapid growth in its robot fleet [2] - The deployment of more than one-third of its current robots in just one month highlights the acceleration in operational capacity [2]

Core Insights - Serve Robotics Inc. has successfully deployed its 1,000th third generation delivery robot, with over 380 robots deployed in September 2025 alone, and is on track to reach a goal of 2,000 robots by the end of 2025 [1] Company Overview - Serve Robotics develops AI-powered, low-emissions sidewalk delivery robots aimed at making delivery sustainable and economical [2] - The company was spun off from Uber in 2021 and has completed hundreds of thousands of deliveries for partners like Uber Eats and 7-Eleven [2] - Serve has multi-year contracts, including an agreement to deploy up to 2,000 delivery robots on the Uber Eats platform across various U.S. markets [2]

Company Overview - Liquidmetal Technologies Inc. specializes in manufacturing amorphous alloy components using a patented injection molding process, achieving precision, strength, hardness, elasticity, and corrosion resistance directly from the mold without secondary processes [6] - The technology has applications in various markets, particularly in consumer electronics, medical, and robotics industries [6] Event Details - Liquidmetal Technologies will present at the LD Micro Main Event XIX on October 21st at 12:00 PM PT, with CEO Tony Chung leading the presentation [1][3] - The LD Micro Main Event XIX will take place from October 19th to 21st at the Hotel del Coronado in San Diego, California, featuring around 120 companies presenting in half-hour increments [4][5] Presentation Focus - The presentation will concentrate on the future outlook of Liquidmetal technology and the re-emergence of the company's manufacturing operations [3]