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California gubernatorial candidates talk tech policy | Politics | sfexaminer.com

In addition to contending with housing and affordability crises, budget and revenue challenges, and potential legal and funding conflicts with President Donald Trump, California’s next governor is likely to face a slew of tech- and artificial-intelligence-related policy questions. For years, San Francisco and Silicon Valley’s technology industry has been one of the state’s primary economic drivers, bringing in enormous amounts of investment, revenue and profits; attracting and employing talented high-wage, high-skill workers; and minting an outsized number of millionaires, billionaires and Fortune 500 companies. But there are growing concerns that the industry’s prosperity is not widely shared and that the state’s tax and regulatory structure is encouraging tech leaders and companies to leave — or at least to focus their growth elsewhere. At the same time, there’s been a growing awareness of and push to mitigate the harm posed by the industry and its products — whether from alleged anti-competitive behavior by the biggest companies, the encouragement of harmful behavior by chatbots and social networks, the inordinate consumption of energy and water by data centers, or the potential for widespread job losses due to the use of AI. The next governor will have to figure out how to strike a balance between the two sets of concerns — how to nurture the industry and encourage its growth while addressing the possible and actual harm it poses. In recent weeks, The Examiner reached out to all eight of the major gubernatorial candidates about how they would approach the tech and AI industry. Here’s how they view the industry and how they would approach some of the primary policy concerns it presents. Representatives for Katie Porter and Tony Thurmond did not respond to multiple requests for comment; The Examiner gleaned some of their positions from their websites or public statements. Autonomous trucks

May 17, 2026 · via sfexaminer.com

MicroVision's LiDAR 2.0 Strategy and Industry Shift After Acquiring Luminar in Bankruptcy

Search across reports, market insights, and blog stories. Type at least 3 characters to see fast results. Press / or ⌘K anytime. Searching… No fast matches found. Press Enter to see full results. May 17, 2026 MicroVision’s LiDAR 2.0 Strategy After Luminar Acquisition The autonomous driving boom of the last ten years spawned hundreds of startups chasing self-driving trucks and robotaxis. For many, the financials never worked out. Billion-dollar development expenses, costly sensor packages, and unworkable business models led to splashy announcements that eventually disappeared. What endured, according to MicroVision executives, was something more valuable: the infrastructure, algorithms, and expertise that now form the basis of what the company calls LiDAR 2.0. Greg Scharenbroch, vice president of global engineering at MicroVision, said the typical Silicon Valley approach was to prioritize performance, aiming to deliver the best possible system and solution, expecting that volumes would eventually increase and prices would drop. That is not what occurred, he noted. Scharenbroch, who has spent 30 years in the automotive industry and joined MicroVision in November after working on ADAS systems and software-defined vehicle computing, believes the sector gained hard-won insights from what he terms LiDAR 1.0. The company is now bringing automotive rigor to sensor development, focusing on commercial trucks, passenger cars, industrial automation, and defense applications. This modular lineup is built mainly for cost efficiency. MicroVision's strategy relies on a wide portfolio that smooths revenue cycles by reusing core technology across different industries. Its design-to-cost philosophy comes from an automotive background and a focus on software differentiation. Scharenbroch explained that automotive development typically requires two to three and a half years of investment before generating any revenue, so the company must diversify its portfolio. The firm's open software framework differs from standard industry practice, letting customers run their own code directly on

May 17, 2026 · via indexbox.io

China presents a towering and astonishing <b>autonomous</b> electric mining <b>truck</b>

China presents a towering and astonishing autonomous electric mining truck Imagine a truck that is not only very tall, over 5 meters, but can also perform maneuvers that seem like science fiction: turning on itself and moving sideways like a crab. This is no joke or some futuristic prototype lost in a laboratory, but a reality that has just arrived from China. The Shuanglin K7 is a mining giant, an 8x4 with level 4 autonomous driving, designed to work in extreme situations and very tight spaces where traditional machinery has struggled greatly until now. But what does this technological leap really mean? The autonomous electric truck that defies mining logic The Shuanglin K7, developed by the Shuanglin Group and Tsinghua University, was presented on April 18, 2026, in Shanghai. This 5.2-meter-tall monster is not only the first truck with an unprecedented ability to turn completely on itself, but it can also move sideways, advancing sideways and saving space in tunnels and narrow mines. ⛽ Vehicle type: 8x4 electric and level 4 autonomous 💶 Official launch: April 18, 2026, Shanghai 🏁 Height: 5.2 meters This revolutionary ability is not just a mechanical trick. It allows maneuvering in spaces where wide turns were previously unthinkable, reducing accident risk and improving logistics efficiency. In mines with limited visibility, dust, and slopes, this innovation is almost a lifesaver. A technological leap for extreme mining In collaboration with experts in artificial intelligence and advanced perception systems, the K7 operates 24 hours a day, seven days a week without the need for a driver, adapting to difficult conditions and very low temperatures, even down to -40 ºC. According to recent reports, this vehicle eliminates the need for wide maneuvers that traditionally limit productivity and increase labor costs in mining. China is heavily betting on this technology,

May 16, 2026 · via modernetdigital.cat

VTI and Einride develop <b>autonomous</b> tracked vehicle for civil and military logistics

land VTI and Einride develop autonomous tracked vehicle for civil and military logistics VTI leads a project where Einride, together with approximately 40 stakeholders including Saab and BAE Systems Bofors, will develop an autonomous tracked vehicle for both civil and military logistics. The vehicle, equipped with Einride's autonomous driving system, will be able to be used for transport in sparsely populated areas during peacetime but also for military operations during crisis or war. Einride, together with partners including the Swedish National Road and Transport Research Institute (VTI, Statens väg- och transportforskningsinstitut), is to develop an autonomous tracked vehicle for civil and military logistics. The project forms part of a Swedish initiative to strengthen civil and military preparedness through so-called dual-use solutions. According to a press release from Einride, the vehicle will be capable of transporting standardised EU pallets and will be equipped with the company's autonomous driving system, Einride Driver. The system is intended for use in transporting goods such as food and medicine in rural areas during peacetime, as well as for military logistics tasks during crisis or conflict. The project is led by VTI and brings together approximately 40 public and private stakeholders. Participants include the Swedish Defence University (Försvarshögskolan), Saab, BAE Systems Bofors, Lund University (southern Sweden), and Telenor Sverige. "Einride's autonomous driving system is vehicle-agnostic and can be used across multiple platforms beyond our own autonomous electric trucks. By participating in the project, we hope to demonstrate the value that Einride Driver can provide for society and national preparedness," said Roozbeh Charli, Chief Executive Officer of Einride, in the press release. Einride states that the company will receive 7.8 million Swedish kronor for its participation. According to the company, the initiative also contributes to NATO's research organisation, the Science and Technology Organization (STO), where Einride's researchers

May 16, 2026 · via nordicdefencesector.com

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May 15, 2026 · via youtube.com

Analysis of Key Market Segments Influencing the Generative AI

Analysis of Key Market Segments Influencing the Generative AI in Autonomous Vehicles Market The integration of generative AI technology within autonomous vehicles is rapidly transforming the automotive sector, promising significant advancements in safety, efficiency, and performance. As this innovative market evolves, it is set to witness substantial growth fueled by cutting-edge developments and strategic collaborations between technology companies and automakers.Generative AI in Autonomous Vehicles Market Size and Growth Projections The generative AI segment in autonomous vehicles is anticipated to expand swiftly, reaching a market size of $7.4 billion by 2030. This remarkable growth corresponds to a compound annual growth rate (CAGR) of 18.5%. Several factors drive this upward trajectory, including the use of generative AI for predictive scenario modeling, wider commercial deployment of autonomous vehicles, and improved simulation tools that aid safety verification. Additionally, the adoption of natural language processing (NLP) and computer vision technologies, alongside increased partnerships between automakers and tech providers, supports this expansion. Key trends expected to shape the market include scenario-based AI training, real-time decision optimization, sensor data fusion and analysis, behavior prediction, simulation, and automation in safety verification and testing. Download a free sample of the generative ai in autonomous vehicles market report: https://www.thebusinessresearchcompany.com/sample.aspx?id=19457&type=smp&utm_source=OpenPR&utm_medium=Paid&utm_campaign=May_PR Leading Companies Driving the Generative AI in Autonomous Vehicles Market The market features several prominent players actively advancing generative AI technologies for autonomous vehicles. These include Bayerische Motoren Werke AG, Honda Motor Co. Ltd., Tesla Inc., Nissan Motor Co. Ltd., Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Baidu Inc., Aptiv PLC, Ansys Inc., Faraday Future Intelligent Electric Inc., Cruise LLC, Waymo LLC, Samsara Inc., Argo AI LLC, Renovo Motors Inc., Aurora Innovation Inc., AImotive Inc., Nuro Inc., Zoox Inc., Applied Intuition Inc., DeepMap Inc., and Cognata Ltd. A notable recent development occurred in May 2023, when Applied Intuition, Inc., a

May 15, 2026 · via openpr.com

Steering the future of <b>autonomous</b> vehicles

When people are asked to think of autonomous vehicles, it is probably a fair bet to assume that robotaxis will spring to mind. After all, they are one of the more exciting and visible applications for the technology, reflected being the one which often hits the media headlines. One of the most recent examples of this was in February, when it was announced that following the passage of the Autonomous Vehicle Act last year, Waymo would be launching a pilot in London with the aim of operating a fully-autonomous robotaxi service later this year. However, the focus on robotaxis masks the significant progress the UK is making with autonomous vehicles in other areas, primarily in off-highway sites such as ports and airports, as well as shuttle services for mass passenger transport. “Our focus on these areas is a strategic push to say there are these near-term markets that a broader set of people can really get into,” says Mark Cracknell, programme director of Zenzic, which exists to bring together industry, government and academia to support the strategic rollout of connected and automated mobility (CAM) technologies in the UK. “We are trying to find where there is the economic opportunity that complements the social opportunity. “If you start with the question ‘how do you be competitive against the likes of Waymo and Baida, who are tech giants and investing billions and billions?’, then that is a big challenge for anybody to pick up, so we have to look at where we can be competitive. Where is there space in the global market for British companies to be successful? “So you go through the process to say robotaxi is the exciting technology that gets the headlines but, actually, autonomy can be anywhere. “If you want to do that with economic benefit, then

May 15, 2026 · via fleetnews.co.uk

Port of Felixstowe: 'The case for <b>autonomous</b> vehicles writes itself'

Automated trucks have become a key part of the Port of Felixstowe’s operations since it became the first port in Europe to deploy the technology in a mixed traffic environment. In the past 12 months, the port, which currently has 34 autonomous trucks, has used the vehicles to move more than 140,000 containers from the cranes which removes the load from ships to a yard crane which stacks them on the port before they are taken away by hauliers. The vehicles are fully electric and emissions-free as the port has used only electricity certified as being from renewable sources since April 2023, supporting its ambition to achieve net zero for Scope 1 and 2 emissions by 2035. “For a port, the case for autonomous vehicles almost writes itself,” says Benjamin Gaunt, senior project manager at Westwell, which manufacturers and supplies the trucks. “Firstly, ports are quite a harsh and hazardous environment; containers are moved at height and there’s heavy machinery moving around all of the time. “It’s highly repetitive and it’s high volume. It’s also extremely high pressure. If one of our trucks stop, it can potentially halt the port. It certainly slows the port down, slows the cranes down and delay the vessels. “These trucks are running 24 hours a day, seven days a week in mixed traffic, interacting with external hauliers who come to the port every day, as well as the port’s own tractor fleet. “It’s a brilliant use case for autonomy.” The trucks use a 360-degree industrial grade binocular camera and 128-line Lidar as sensors. Each truck also features interactive light signals and audiovisual alerts to communicate driving intentions clearly to human drivers, significantly reducing collision risks. Batteries on the autonomous trucks are changed at an automated battery swap station. The facility allows them to exchange

May 15, 2026 · via fleetnews.co.uk

<b>Autonomous Trucks</b> Are Here, But When Will They Scale? - TT

[Stay on top of transportation news: Get TTNews in your inbox.] Autonomous Trucks Are Here, But When Will They Scale? Developers Outline Transition From Early Pilots to Broader Commercialization of Virtual Driver Technology Managing Editor, Features and Multimedia Key Takeaways: - Autonomous truck developers say technical barriers are largely resolved, shifting attention to scaling, manufacturing capacity and fleet operations. - Executives predict driverless trucks will enter broader commercial use this year or next, with expansion dependent on customer value and supply. - Companies including Aurora, PlusAI, Torc and Kodiak are expanding routes, partnerships and testing ahead of full commercialization. LAS VEGAS — Autonomous trucking is shifting from early pilot programs toward full-scale commercial launches generally targeted for this year or next. But how quickly might driverless trucks spread across the nation’s highways once the technology becomes more widely available? Leaders from five of the most prominent developers of autonomous driving technology for commercial vehicles shared their views on that question during a May 5 panel discussion at ACT Expo 2026. Ossa Fisher, president of Aurora Innovation, said all the technical barriers to deploying autonomous trucks have been overcome. “It is no longer a question of if. It is no longer question of when. It is really a question of how quickly and how broadly we scale to become the autonomous backbone of American transportation,” she said. Raquel Urtasun, founder and CEO of Waabi, said the bottleneck in the “early innings” of commercial deployment will not be interest on the part of fleet operators, but the initial supply of trucks equipped for autonomous driving. “The limiting factor right now is not customer adoption,” she said. “It’s really building those trucks at scale.” From left, PlusAI’s David Liu, Kodiak’s Don Burnette, Torc’s Peter Vaughan Schmidt, Aurora’s Ossa Fisher and Waabi’s Raquel Urtasun

May 14, 2026 · via ttnews.com

Here's How to Approach Aeva Stock After Q1 Earnings Release

Here's How to Approach Aeva Stock After Q1 Earnings Release Aeva Technologies, Inc.AEVA develops FMCW (Frequency Modulated Continuous Wave) 4D LiDAR-on-chip sensing systems and related perception software for automotive, industrial, smart infrastructure, consumer device and security uses. It posted an adjusted loss of 41 cents per share in the first quarter of 2026, which improved 8.9% from a loss of 45 cents a year ago. Revenues came in at $6 million, up 76.5% from $3.4 million in the year-ago quarter. Despite delayed automotive ramps, ongoing losses, scaling challenges and competitive pressures, it benefits from FMCW LiDAR adoption, NVIDIA integration and expanding commercial applications. Partnership With NVIDIA, Diversification to Aid AEVA Aeva is positioned to benefit from growing adoption of FMCW LiDAR as automakers prepare for Level 3 autonomy later this decade. The company remains the exclusive LiDAR supplier outside China for a major European OEM’s next-generation Level 3 program, with production targeted for 2028 across multiple vehicle models. In the first quarter of 2026, Aeva integrated its Atlas Ultra sensors into the OEM’s development vehicles and began joint AV stack development with the OEM and its software partner. Additional sensor deliveries are planned in 2026 to support testing and fleet expansion, while progress with another top-5 passenger OEM strengthens its broader ADAS pipeline. Aeva is the reference LiDAR sensor globally outside of China for NVIDIA’s DRIVE Hyperion platform for Level 3 and higher driving. Because leading OEMs and AV companies use Hyperion, a single sensor integration can create repeatable design-in opportunities across multiple customers using the same stack. In the first quarter of 2026, Aeva and NVIDIA reported progress on a common platform that integrates Atlas Ultra and its velocity data into the DRIVE Hyperion AV stack, including implementing the velocity data path. This deeper integration can raise switching costs

May 14, 2026 · via theglobeandmail.com

Tenet, Crown merge to build air freight tech platform

Tenet, Crown merge to build air freight tech platform Tenet Transportation Tech and Crown Data Systems have merged, creating a combined software platform serving more than 400 customers and partners across Canada and the U.S. Tenet provides an operating system for cartage, expedited, courier, drayage and LTL carriers. Crown, founded in Buffalo, N.Y., in 1997 by Mike King, specializes in air freight trucking software. The merged company will support first-, middle- and last-mile operations, with products covering dispatching, driver mobile apps, warehouse operations, freight scanning, invoicing, reporting, and connections with more than 70 forwarders. “Crown was founded on innovation. We solved inefficiencies in our own business and changed the market. This is our legacy,” said King, president of Crown Data Systems. “I see in Tenet that same innovation, helping us extend our legacy into the future with the best solutions and service in the industry.” Tenet CEO Hugh Kirkpatrick will lead the combined company. King will remain president of Crown Data Systems before moving into a strategic advisor role. “We’re incredibly excited to partner with Mike and the Crown team as well as their customers and partners,” Kirkpatrick said. “Mike is a visionary entrepreneur, with a 50-plus-year career across trucking and technology, and Crown’s decades of experience, customer-focused mission, and trusted relationships is a perfect complement to Tenet.” The combined business will have more than 40 employees and offices in Buffalo, N.Y., and Atlanta, Ga. Have your say This is a moderated forum. Comments will no longer be published unless they are accompanied by a first and last name and a verifiable email address. (Today's Trucking will not publish or share the email address.) Profane language and content deemed to be libelous, racist, or threatening in nature will not be published under any circumstances.

May 14, 2026 · via trucknews.com

Mining Automation Market Driven by AI-Based Fleet Optimization and <b>Autonomous</b> ...

USD 5.94B Mining Automation Market projected to reach USD 9.92B by 2030 as autonomous haulage and AI-driven fleet systems recover up to 18.4% of equipment utilization losses across high-volume mining operations. SAMBALPUR, India, May 14, 2026 /PRNewswire/ -- The Mining Automation Market is entering a high-velocity expansion cycle as mining companies increasingly prioritize operational resilience, fuel optimization, and workforce-risk reduction over traditional labor-intensive extraction models. Strategic Market Research estimates the global market will expand from approximately USD 5.94 billion in 2024 to USD 9.92 billion by 2030, reflecting a 9.54% CAGR. The strategic driver in 2026 is no longer automation for modernization alone. Rising energy volatility, labor constraints, and critical-mineral demand are pushing mining operators toward AI-enabled, autonomous, and predictive mine ecosystems designed to protect site-level profitability. Autonomous haulage systems are now recovering up to 18.4% of equipment utilization losses across large-scale mining fleets, while AI-driven routing systems are reducing non-productive equipment movement by approximately 16.7%, generating measurable fuel-recovery gains across repetitive transport corridors. Buy now or Order the Full Report: https://www.strategicmarketresearch.com/buy-now/mining-automation-market Equipment Automation Dominance Equipment automation currently represents approximately 44.8% of global market demand, equivalent to nearly USD 2.66 billion in 2024, driven by accelerated deployment of autonomous haul trucks, robotic drilling systems, and remote-controlled loading platforms. Mining operators are increasingly moving toward "Remote-First" operational models where drilling, hauling, and ore-handling systems are coordinated through centralized control environments rather than site-dependent workforce deployment. Software Intelligence Layer Expansion AI-based mine-control platforms and predictive fleet intelligence systems now account for approximately 34.9% of market demand, representing nearly USD 2.07 billion in 2024. This software intelligence layer is expanding at one of the fastest rates in the industry, supported by growing deployment of: - AI-driven fleet optimization - Predictive maintenance analytics - LiDAR-guided navigation - Real-time ore-routing intelligence - Digital twin mine

May 14, 2026 · via prnewswire.com

3 ways Daimler plans to improve profitability following 'historically low demand' in North America

Daimler Truck outlined a three-pronged strategy to improve profitability during the company’s Q1 earnings call held May 6, responding to what executives described as a historically low-demand environment in North America. A prolonged freight recession and ongoing tariff impacts have pressured the truck maker. As a result, Daimler sold 141,814 trucks in North America during 2025, down 26% from the prior year. The difficult conditions also carried into the start of 2026: the company sold 29,432 trucks during the first quarter, the lowest Q1 sales since 2010, CFO Eva Scherer said during the call. Even so, executives pointed to early signs of recovery. Q1 orders rose 86% year over year, suggesting demand could be starting to rebound. In the meantime, Daimler is focused on several initiatives aimed at growing profits and preserving cash flow: - Deconsolidation of Mitsubishi Fuso: Daimler and Toyota finalized the merger of Mitsubishi Fuso and Hino Motors on April 1. As part of the transaction, Daimler will ultimately decrease its ownership of the newly combined Archion Corp. to 25%, CEO Karin Rådström said, creating 1.5 to 2 billion euros in free cash flow. - Fuel cell collaboration: Daimler also expects to benefit from Toyota joining Cellcentric as an equal shareholder, which will accelerate the fuel cell joint venture’s ability to scale. - Pulling back on EV manufacturing investments: Daimler will delay developing the manufacturing capacity for its Amplify Cell Technologies joint venture due to conditions in the North American electric commercial vehicle market. Although Daimler incurred a 200 million euro charge due to the production delay, executives said the move will still have a positive cash flow effect, because the company previously expected to invest a “low triple-digit million range” into the venture in 2026. Executives said the company is also watching for replacement demand to

May 14, 2026 · via truckingdive.com