Tech
CES 2026: Rubber hits the road for Qualcomm automotive | Computer Weekly
Qualcomm has unveiled a slew of products and partnerships for the connected automotive market that are seeing real-life application.
Specifically, at the CES 2026 trade show, the firm announced it has teamed with Chinese startup Leapmotor for what it calls the world’s first cross-domain integrated service powered by its Snapdragon Cockpit Elite and Snapdragon Ride Elite automotive platforms; expanded its technology relationship with Google to provide what the firms call a leading foundation for transforming the automotive industry; and a collaboration with manufacturing group ZF to provide “cutting-edge” and scalable advanced driver assistance systems (ADAS) that combine advanced artificial intelligence (AI) compute and perception capabilities.
In the former partnership, Leapmotor’s flagship model, D19, will become the first mass-production vehicle powered by a dual Snapdragon Elite (SA8797P) automotive platform in a collaboration that will support the car manufacturer’s advancement towards a more centralised vehicle architecture, and make cars easier and more efficient to build, delivering more responsive features for drivers and passengers.
Qualcomm sees the collaboration as highlighting the growing value of deep chipmaker-automaker integration at the vehicle‑architecture level, and offering a scalable blueprint as the industry accelerates towards centralised computing and fully software‑defined vehicles.
The in-vehicle technology has been designed to unify cockpit, driver assistance, body control and connectivity – including Wi-Fi 6 and 5G mobile comms – on one system. Making its debut at CES 2026, the dual‑chipset architecture is claimed to deliver “exceptional” compute performance to streamline vehicle electronics, reduce system complexity and enable more advanced AI capabilities across the entire vehicle.
The central domain controller has the ability to unify into high‑performance system key vehicle domains, such as intelligent cockpit; driver assistance; body controls including lighting, climate, doors and windows; and the vehicle gateway. The dual‑chipset setup also provides the compute headroom needed for real‑time coordination and advanced AI, including emerging agentic AI workloads.
With the Qualcomm Oryon central processing unit, Qualcomm Adreno graphics processing unit and Qualcomm Hexagon neural processing unit working in parallel, the platform can run both a full‑modality large AI model for the cockpit and a vision-language-action multimodal model for driver assistance. The result is said to be more intelligent, responsive and future‑ready driving experiences.
Among other key system capabilities is the ability to support up to eight displays, including multiple 3K and 4K screens, and up to 18‑channel audio for immersive in‑car entertainment. The system also enables over-the-air updates, remote diagnostics and remote vehicle control, with its service‑oriented architecture offering more than 200 modular capabilities for flexible, user‑defined experiences.
Driver assistance is designed to support up to 13 cameras and multiple sensors, including LiDAR, vehicle-millimetre‑wave radar, ultrasonic sensors and a high‑precision IMU, to deliver reliable L2 driver‑assistance. Other features include parking‑to‑parking, with the controller engineered to help vehicles handle complex daily and urban scenarios.
In-vehicle connectivity allows reliable communication between all of the vehicle’s systems, while also supporting voice calling, emergency services, Bluetooth, Wi‑Fi and precise location services such as global navigation satellite system.
Beginning with Snapdragon-powered embedded Android infotainment systems, Qualcomm’s relationship with Google has lasted over a decade, and the latest chapter of this partnership will see the firms aim to establish end-to-end automotive technology that integrates Snapdragon Digital Chassis with Google’s automotive software.
Overall, Qualcomm and Google are setting out to establish a unified reference platform aimed at establishing accelerating development cycles, strengthening quality assurance and streamlining production for vehicle manufacturers. This, say the companies, will empower automakers to create next-generation vehicles that better anticipate, react and adapt to driver needs with agentic AI.
Specifically, they will be working on simplifying the deployment of advanced, next-generation AI agents with Gemini Enterprise for automotive – an evolution of the Automotive AI Agent announced at the IAA Mobility show in Munich in 2025. By aligning Snapdragon Cockpit Platforms with Google’s AAOS roadmaps, starting with Android 17, the companies say they are creating a foundation for next-generation SDVs and in-vehicle infotainment systems.
Intelligent mobility
The intelligent mobility technology is said to have been redefined for the generative AI era, connecting vehicles to the cloud using a flexible architecture that blends on-device and cloud models. This approach is designed to enable real-time personalisation for drivers and help speed up the roll-out of new features such as advanced voice-driven and pro-active assistants.
For drivers, the intended benefits include smarter, safer and more adaptive vehicles – with dynamic personalisation, and multimodal interfaces with always-on AI-driven features that can help enhance convenience and safety.
ZF and Qualcomm Technologies are collaborating to provide an ADAS service that combines advanced AI compute and perception capabilities powered by Qualcomm Technologies’ Snapdragon Ride system-on-chips.
ZF’s ProAI supercomputer will integrate Snapdragon Ride Pilot and Vision stack for faster time-to-market and deliver turn-key systems to automotive manufacturers, bringing together automotive computing and real-time perception, enabling automakers to deploy scalable ADAS services across a wide range of vehicle types and automation levels. This ranges from regulatory functions up to Level 3, whereby a vehicle handles all driving tasks in specific scenarios, letting the driver divert attention from the road.
With Snapdragon Ride, the ZF ProAI supercomputer is capable of serving as a domain, zone or central controller, while supporting enhanced computer vision, sensor fusion and decision-making control logic, or all of these functions in a single end-to-end AI model.
The companies want to extend their cooperation to the development of a multi-domain mixed criticality solution for ADAS and in-vehicle infotainment systems.
Tech
Artemis II Mission Launches Successfully
At 6:36 pm Cape Canaveral time, NASA’s SLS rocket lifted off without incident with the four members of the Artemis II spacecraft aboard. During the first few hours, Orion will complete its journey into Earth orbit and, throughout the first day, will conduct critical navigation and systems tests. Around the third or fourth day, the spacecraft will begin its trajectory toward the moon and cross its gravitational sphere of influence. In total, the mission will last approximately 10 days.
The mission includes the first woman and the first Black person on a crewed mission to lunar orbit. The launch comes 53 years after Apollo 17, the last crewed mission to the Moon.
The Artemis II crew will not land on the moon (that will happen on Artemis IV ). Instead, their capsule will fly at altitudes between 6,000 and 9,000 kilometers above the surface of the far side of the moon, circle it, and begin the return journey to Earth. The mission’s main objective is to demonstrate that the space agency has the technological capability to send people to the Moon safely and without incident.
Once they achieve this, NASA will begin preparations for new moon landings in the following years, which will aim to establish the first lunar bases in history and, with them, the sustained and sustainable presence of humans on the satellite.
The launch was successful and occurred on schedule. The launch window opened on Wednesday, April 1, at 6:24 pm Eastern Time (EDT) and could have been extended for two hours, if necessary. NASA would have had five more days to attempt another launch.
Mission Details
The astronauts took off on a NASA SLS rocket and are traveling inside the Orion capsule, described as a spacecraft about the size of a large van. They will orbit Earth for at least two days to test the onboard instruments. Then they will align the spacecraft to begin its journey to the moon. By the fifth or sixth day of flight, the capsule is expected to enter the moon’s sphere of influence, where the satellite’s gravity is stronger than Earth’s, and dock with its orbit.
When the spacecraft passes “behind” the moon, the most dangerous phase will begin. The crew will be out of contact with Earth for about 50 minutes due to interference from the moon itself. During this crucial moment, the crew must capture images and data from the moon, taking advantage of the far-more-advanced technology they carry than was available during the Apollo era.
After completing the return, the capsule will head home, taking advantage of the Earth-moon gravity field to save fuel. According to NASA estimates, by the 10th day of flight the crew will be close to reaching the planet.
Tech
Arm works with IBM to deliver flexibility on mainframe | Computer Weekly
IBM has begun working with chipmaker Arm to develop what it calls dual-architecture hardware to provide flexibility when running enterprise artificial intelligence (AI) and data-intensive workloads.
Their overall goal is to combine IBM’s experience in systems reliability, security and scalability that it offers on Z-series mainframe systems with Arm’s expertise in power-efficient architectures and supporting a broad software ecosystem to build flexible and scalable computing platforms for the future.
Arm has been on a path to deliver an alternative to x86-powered servers in the datacentre. The company has introduced the Arm Agentic AI (artificial intelligence) central processor unit (CPU) which it positions as a processor that is tasked with keeping distributed AI systems operating efficiently at scale. This includes orchestrating AI accelerators, managing memory and storage, scheduling workloads and moving data across systems.
This latest collaboration appears to be focused on deliver enterprise reliability to the Arm platform. It builds on IBM’s heritage of offering coprocessors for the Z-series hardware such as the Integrated Facility for Linux, which was introduced in 2000. The mainframe manufacturer later introduced a Linux system based on the Z-series architecture, called LinuxOne, designed to let enterprise customers run Linux workloads in situ with data that resides on the mainframe system.
Christian Jacobi, chief technology officer and IBM fellow of IBM systems development, said: “This moment marks the latest step in our innovation journey for future generations of our IBM Z and LinuxOne systems, reinforcing our end-to-end system design as a powerful advantage.”
Mohamed Awad, executive vice-president of the cloud AI business unit at Arm, said: “Our collaboration with IBM builds on this progress, extending the Arm ecosystem into mission-critical enterprise environments and giving organisations greater flexibility in how they deploy and scale these workloads.”
The two companies said they are exploring how to expand virtualisation technologies that allow Arm-based software environments to operate within IBM’s enterprise computing platforms. According to IBM and Arm, this work is designed to expand software compatibility and streamline how developers and enterprises bring Arm applications into mission-critical environments.
In the security and reliability front, the pair plan to investigate new ways to support the performance and efficiency demands of modern workloads, including AI and data-intensive applications. IBM and Arm said they will be looking at how to enable enterprise systems to recognise and execute Arm applications.
The two companies also hope to provide a broader software ecosystems and greater flexibility in how applications are deployed and managed. IBM plans to offer new systems for its customers that incorporate Arm’s technology.
Tina Tarquinio, chief product officer of IBM Z and LinuxONE, said: “Our aim is to expand software choice and improve system performance while maintaining the reliability and security our clients expect.”
The collaboration is seen as a signal of how enterprises may eventually deploy scalable, flexible IT infrastructure to support different types of application workload.
Patrick Moorhead, founder, CEO and chief analyst at Moor Insights & Strategy, added: “What IBM and Arm are signaling here is a meaningful step toward that future that could broaden how enterprises think about deploying and scaling modern workloads. While the full implications will take time to unfold, it’s clear this reflects a deeper level of investment in long-term platform innovation and ecosystem expansion than we typically see at this stage.”
Tech
California Suspends Enforcement of Law Requiring VCs to Report Diversity Data
Under a new state regulation, venture capital firms operating in California were supposed to submit demographic data about their portfolio companies, including the gender and race of startup founders they backed. But amid public criticism from some tech leaders, the California agency administering the new requirement suspended it just before the Wednesday deadline for firms to make their first disclosures.
“The California Department of Financial Protection and Innovation (DFPI) has announced that it plans to initiate rulemaking in response to comments by various stakeholders relating to the Fair Investment Practices by Venture Capital Companies Law,” the state agency posted on its website in mid-March. “Implementation and enforcement of the [law] will be suspended pending completion of the rulemaking and until final regulations are in place.”
California lawmakers first passed the measure in 2023, and it was signed into law shortly thereafter by Governor Gavin Newsom. For decades, women and people of color have received only a small share of overall startup funding relative to their representation in the US population. Lawmakers hoped putting more public scrutiny on investment decisions would help foster greater equity in the market, including for people who are disabled, retired military, or LGBTQ+.
The law called for venture capital and some other investment firms to file annual reports starting March 1 of last year about the overall makeup of the founding teams they had invested in and the amount of money they provided to diverse founders. Firms were meant to collect the demographic data through a voluntary survey that was then anonymized. California authorities planned to publish the filings online. Lawmakers amended the law in 2024 to delay reporting until April 1, 2026, and enable the state to levy daily fines for noncompliance.
The California Department of Financial Protection and Innovation did not immediately respond to a request for comment on the authority it used to sidestep the deadline set by lawmakers. Newsom’s office also didn’t immediately respond to a request for comment.
Financiers focused on funding entrepreneurs from underrepresented backgrounds had supported the law. But the National Venture Capital Association, the tech investment industry’s leading trade group, opposed it. The group argued that voluntary data collection would inflate diversity statistics and that publishing inaccurate data could lead to unfair attacks on investors genuinely trying to tackle diversity issues. Over the past year, the Trump administration has defunded and attacked diversity, equity, and inclusion, or DEI, initiatives in both the public and private sectors, leading many businesses and organizations to pull back from them.
In February, the venture capital association wrote to Newsom asking for the reporting deadline to be pushed back again because, in its view, the state had bungled the process. California authorities didn’t publish the standardized survey that founders were supposed to fill out until early this year, and at the time they still hadn’t introduced a way for firms to register with regulators as required by the law, according to the association. “This administrative timeline creates an environment ripe for error and threatens to produce the misleading and counterproductive data we previously warned against,” association president and CEO Bobby Franklin wrote.
Last month, as the deadline for the first reports loomed, some entrepreneurs and investors began complaining on social media about the survey effort. “The latest California malarky is a requirement for venture investors to collect/report racial and gender statistics,” wrote Blake Scholl, the founder and CEO of venture-backed aviation startup Boom Supersonic. “I want to live in a world where merit matters—not skin color or what you have between your legs.”
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