Key takeaways - Einride completed the acquisition of Ytterhälla Transport AB and its associated property company on 1 September 2026. - Ytterhälla Transport generated SEK 63.55 million in revenue in its latest financial year. - The acquisition gives Einride an established road transport business as well as the property containing its offices and vehicle parking. Einride agreed to buy the two-company Ytterhälla business on 28 July through its wholly owned subsidiary Einride MidCo AB, according to a Form 6-K filed with the US Securities and Exchange Commission on 4 September. The transaction closed on 1 September. Einride paid SEK 17.069 million, approximately $1.79 million, at completion, with half paid in cash and the other half in Einride ordinary shares. The sellers may receive a further SEK 10 million over the next three years if specified milestones are met. The acquisition covers both Ytterhälla Transport AB, which operates the haulage business, and Ytterhälla Fastighets AB, owner of the property where the carrier maintains its offices and parking area for trucks and other vehicles. That makes the deal considerably more than the purchase of a small transport contract or a handful of vehicles. Einride is taking control of an established operating carrier, its workforce and a permanent transport base. A growing regional haulier rather than a distressed acquisition Ytterhälla Transport was established in 1991 and is based in Västerås, around 100 kilometres west of Stockholm. Public company records show that the business employed 36 people in its financial year ending August 2025, up from 28 a year earlier. Revenue increased from SEK 52.05 million to SEK 63.55 million, while EBIT rose from SEK 4.54 million to SEK 5.63 million. Its reported operating margin was 8.9%. The figures suggest Einride is acquiring a growing and profitable haulage operation rather than taking over a
18h ago · via trans.info
Inceptio Technology Surpasses 1 Billion Kilometers in Commercial Autonomous Trucking, Accelerating the Development of Freight Physical AI SHANGHAI, Sept. 8, 2026 /PRNewswire/ -- Inceptio Technology ("Inceptio" or the "Company"), an industry-leading developer of autonomous driving technologies for trucks, today announced that its autonomous driving systems have surpassed 1 billion kilometers of commercial autonomous driving mileage, marking a major milestone in the Company's large-scale deployment of autonomous trucking and the development of its real-world data assets. The 1-billion-kilometer milestone represents not only the scale of Inceptio's commercial deployment, but also the depth and diversity of real-world data generated through daily operations. This operational experience is enabling Inceptio to advance from autonomous driving platform toward Freight Physical AI — a new generation of intelligent systems designed specifically for the physical realities, operating conditions, and logistics requirements of commercial trucking. Scaling Commercial Autonomous Trucking Inceptio's autonomous driving system now covers approximately 97% of China's highway network. The Company serves a broad range of logistics applications, including express delivery, less-than-truckload transportation, cold chain, general cargo, and liquid food transportation. Inceptio currently holds more than 90% market share in China's autonomous trucking market, demonstrating the growing adoption of autonomous driving as a commercially viable freight solution. In 2026, several leading express delivery companies began making autonomous driving a standard configuration in their heavy-duty truck procurement, reflecting growing recognition of the operational value it delivers. In real-world operations, Inceptio-powered trucks have demonstrated benefits across safety, driver workload, labor efficiency, and fuel or energy consumption. With more than 1 billion kilometers of commercial autonomous driving mileage accumulated, Inceptio has built one of the industry's largest real-world operational datasets for heavy-duty trucking. Each kilometer strengthens the Company's ability to identify, reproduce, validate, and resolve increasingly complex scenarios encountered in commercial freight operations. From Autonomous Driving to Freight Physical
19h ago · via prnewswire.com
ADQ, a unit of Abu Dhabi wealth fund L’imad, has met the terms of a cash offer to acquire up to 100 percent of AD Ports Group, the maritime infrastructure operator said. The AD Ports board last month recommended shareholders accept ADQ’s offer of AED6.25 ($1.70) per share. The price represents a 23 percent premium to the August 14 close. “Except for the customary notifications required to be submitted to the Capital Market Authority and the Abu Dhabi Securities Exchange (ADX), all other conditions of the offer have been satisfied,” AD Ports said in a statement. The share transfer will take place before October 9. AD Ports appointed HSBC on August 21 to carry out a financial analysis of the offer, three days after receiving it. The company listed its shares on the ADX on February 7, 2022, at AED3.2 apiece. Its stock closed at AED6.04 on August 26, up nearly 27 percent so far this year. According to AGBI calculations, ADQ will pay an estimated AED7.8 billion to acquire the remaining stake. L’imad’s ports and logistics platform includes assets such as Etihad Rail Company and Aramex. Abu Dhabi National Energy Company (Taqa) was delisted from the emirate’s bourse as of September 1 after Abu Dhabi Power Corporation, a subsidiary of L’imad, acquired a 100 percent stake in Taqa last month. Further reading: Register now: It’s easy and free AGBI registered members can access even more of our unique analysis and perspective on business and economics in the Middle East. Why sign uP Already registered? Sign in
21h ago · via agbi.com
Autonomous driving AI company RideFlux has signed a memorandum of understanding (MOU) with commercial vehicle maker Tata Daewoo Mobility to cooperate on Level 2+ (L2+) driver assistance systems for commercial vehicles and Level 4 (L4) autonomous driving. Under the agreement, RideFlux’s software for five key highway driving functions will be installed on Tata Daewoo Mobility’s XEN and KUXEN heavy-duty truck platforms, with the companies pursuing mass production of L2+ driver assistance systems. Tata Daewoo Mobility will provide the vehicle platforms and vehicle control interfaces, while RideFlux will lead advance development of Driver Control Assistance System (DCAS) software compliant with the UN R171 international standard. The L2+ driver assistance system integrates longitudinal and lateral vehicle control for functions including lane keeping, lane changing, highway junctions and merging, overtaking and tollgate passage. RideFlux expects to establish a data feedback loop that uses real-world driving data collected from vehicles after mass production to simultaneously improve L2+ performance and validate L4 technology. The companies have also outlined a roadmap for fully driverless L4 commercialization. Building on what RideFlux said is Korea’s first paid freight transportation service using heavy-duty autonomous trucks, the company plans to develop robotruck conversions before moving to mass production of fully driverless L4 trucks. The partnership also includes plans to establish a foothold in the global commercial vehicle market by linking the technology with the software-defined vehicle (SDV) architecture of Tata Motors, Tata Daewoo Mobility’s parent company and the largest commercial vehicle maker in India. RideFlux said that following Korea’s first paid autonomous-truck freight service with Hanjin in July, supplying autonomous driving software to original equipment manufacturer (OEM) Tata Daewoo Mobility gives it a new business-to-business (B2B) revenue stream. The company said the deal also signals that the autonomous driving industry is moving from government-led demonstration projects, or B2G, toward commercialization,
1d ago · via thelec.net
TOKYO - Isuzu Motors has begun full-scale development of a second-generation "AI truck" capable of making driving decisions on its own, as Japan's largest commercial vehicle maker by domestic market share aims to introduce Level 4 autonomous driving in fiscal 2027 to help address a worsening shortage of truck drivers. Japan is projected to face a serious logistics crisis by 2030, when driver shortages could leave the country unable to transport as much as 25% of its current freight volume. The consequences could affect everyday life, with supermarkets and convenience stores unable to keep shelves fully stocked and online purchases failing to arrive on schedule. Isuzu sees autonomous driving as one way to maintain Japan's freight network as the labor shortage deepens. The company is targeting the social implementation of Level 4 autonomous driving, in which vehicles can operate without a driver under specified conditions, during fiscal 2027. Autonomous vehicles have become a major global growth market, drawing intense competition from technology companies including Google, Amazon and Nvidia. Japan is also seeking to strengthen its position through cooperation between the government and private sector. At the CES technology exhibition in Las Vegas in January, autonomous driving was among the technologies attracting attention. Nvidia introduced Alpamayo, an artificial intelligence system for autonomous driving that can assess surrounding conditions and make decisions independently. The company said the technology could significantly improve the safety of driverless vehicles. Some estimates put the global autonomous driving market at about 18 trillion yen within the next three years. Isuzu representatives were among the Japanese visitors studying the latest technology at CES as the truckmaker seeks to narrow the gap with overseas competitors. One Isuzu employee involved in the effort said the company is still learning about advanced AI technology and gathering information from specialists around the
1d ago · via newsonjapan.com
Tonly DTE95 battery electric truck at Steinexpo: haulage design notes for planners Reviewed by Tom Sullivan First reported on International Mining – News 30 Second Briefing Tonly Heavy Industries has presented its 70 t-class DTE95 battery electric wide-body dump truck at Steinexpo 2026 in the MHI basalt quarry at Homberg, Germany, signalling a push into the European quarrying and mining market. The Xi’an-based OEM is targeting quarry haulage with a fully electric platform rather than diesel–electric hybrids, positioning the DTE95 for short, repeatable cycles typical of basalt and aggregate operations. For mine planners, the key question will be matching truck duty cycles and charging infrastructure to existing pit layouts and power availability. Technical Brief - DTE95 is configured as a wide-body dump truck in the 70 t payload class. - Xi’an-based Tonly Heavy Industries is explicitly targeting European deployment as part of its globalisation strategy. - Event positioning at a leading European quarrying and mining show gives direct access to fleet decision-makers. - For similar mining operations, adoption hinges on integrating such BEVs into existing maintenance and operator training regimes. Our Take Tonly Heavy Industries’ move to show a 70 t‑class battery electric truck in Germany aligns with its recent push into ‘green’ and unmanned haulage from China, suggesting the company is now testing European quarry conditions as a proving ground for its low‑carbon wide‑body designs. The Steinexpo 2026 deployment at the MHI basalt quarry gives Tonly a live European reference site, which could be important when marketing against established OEMs in our wider Mining database that dominate diesel haulage in Europe. Taken with the framework agreement to supply 800 autonomous trucks to Xinjiang Hanxiang, the DTE95 demonstration indicates Tonly is positioning its wide‑body platform to span both autonomy and full battery electrification, which may appeal to contractors seeking a
1d ago · via geomechanics.io
An international standard on audio signal sensors for autonomous driving led by China was officially released recently, giving a boost to the safety of autonomous driving. The standard fills a global gap in the field of audio signal sensor interfaces for autonomous driving and will equip vehicles with standardized "ears," effectively enhancing driving safety in complex traffic scenarios. "Audio signals are a core element in a vehicle's perception of its environment. The audio sensors in an autonomous driving system function much like the ears of a human driver. They can detect audio signals, effectively giving the system 'hearing,' which greatly enhances its ability to anticipate and respond to complex environments. Therefore, establishing a scientific and unified audio interface standard is of great significance for accurately evaluating and improving the safety of autonomous driving," said Chen Chen, a senior engineer at China National Institute of Automotive Standardization. The standard explicitly relies on multiple types of audio algorithms to detect and identify all categories of acoustic signals, covering various sound sources, including sirens from special-purpose vehicles such as police cars, fire trucks, and ambulances; road environmental noise such as wind noise, rain and hail; external warning sounds such as surrounding vehicle horns, collisions and reverse parking alerts; sounds generated by the vehicle itself, such as the engine, brakes, and horn; as well as sounds related to other road users. "Before an autonomous driving system identifies priority vehicles like ambulances, fire trucks, and police cars, through visual signals, it can rely on their sirens to determine the direction and distance of the target sound source in advance, thereby responding to these vehicles. For example, when a vehicle encounters an ambulance in autonomous driving mode, it can rely on a fusion of acoustic and visual perception to give way to the ambulance," said Chen.
1d ago · via bastillepost.com
"Autonomy Must Deliver the Same Efficiency Regardless of the Driver" - Free Access - 07-09-2026 - Commercial Vehicles - Interview - Article Activate our intelligent search to find suitable subject content or patents. Select sections of text to find matching patents with Artificial Intelligence. powered by Select sections of text to find additional relevant content using AI-assisted search. With its AI-based world model, Inceptio Technology aims to bring fully automated SAE Level 4 trucks into series production. In an interview with ATZheavy duty, founder and CEO Julian Zheren Ma explains how the system works, what efficiency gains are possible, and which regulatory requirements are still missing. ATZheavy duty:Inceptio Technology is taking an AI-based approach to fully automated trucks (SAE L4) that relies on a "world model". How is this model structured? Ma: Our world model combines three closely interlinked functions: sensor synthesis, physics-aware dynamic simulation, and behavioral agent modeling of other road users. It generates realistic camera and lidar data, simulates the driving behavior of a heavy truck according to the laws of physics, and models the interactive reactions of other road users. These functions are integrated into a generative pipeline capable of reconstructing and expanding real-world driving scenarios, including complete lidar point clouds. The model is grounded in Inceptio’s Real-world Operation Scenario Library (ROSL), which provides statistically representative data from large-scale commercial operations. How is integration with electric mobility handled, and how do you coordinate range management? Our autonomy stack operates largely independently of the powertrain and is already in use on diesel, LNG, and electric platforms. For energy management, we have developed FEAD (Fuel Efficient Autonomous Driving). The system proactively optimizes speed, driving maneuvers, and behavior on inclines and declines. The strategy reduces energy losses and can be directly applied to electric vehicles – including range prediction, regenerative
1d ago · via springerprofessional.de
Every 8-K that Kodiak AI, Inc. (KDK) has filed with the SEC in the last 24 months is listed below, newest first, and each one links through to the document itself with the summary and the scores our analysis gives it. A 8-K covers material events a company has to report between its quarterly reports, so if you follow KDK and want that one kind of document rather than the whole filing history, this is the page to keep. The company's other filings, of every form, are on the full KDK filings page. Kodiak AI, Inc. reported Q2 2026 revenue of $3.5 million, representing 91% quarter-over-quarter growth, driven by expanded driverless deployments and its Driver-as-a-Service model. GAAP loss from operations was $43.7 million, while non-GAAP loss from operations was $37.3 million after excluding stock-based compensation. GAAP net income was $12.5 million, largely reflecting a $58.3 million gain from the change in fair value of common stock warrants, but net loss attributable to common stockholders was $37.7 million due to cumulative and deemed dividends on Series A preferred stock. Net cash used in operating activities was $34.1 million, and free cash flow was negative $38.1 million. Kodiak ended Q2 with $151.1 million in cash, cash equivalents and marketable securities and a stockholders’ deficit of $188.9 million. Operationally, Kodiak deployed seven additional driverless trucks, bringing customer-owned driverless vehicles to 35, surpassed 40,000 Cumulative Hours of Paid Driverless Operations (up 71% from Q1), and exceeded 20,000 cumulative loads delivered (about 32% sequential growth). The new Gen7 Kodiak Driver platform offers nearly 50% more compute power and about 50% longer SensorPod lifetimes, while its BreakPoint AI system can run over one million simulations per hour. Kodiak reports an Autonomy Readiness Measure of 91% as of July as it targets a long-haul driverless launch by
1d ago · via stocktitan.net
Key takeaways - MAN and its partners plan around €700 million of European service-network investment by 2030. - The company wants almost 80% of customers to be within 30 minutes of a MAN workshop. - Around one third of the investment will go towards electromobility and digitalisation, including battery repairs, technician training and charging. - Priority markets include Germany, Austria, Switzerland, France, the UK, Italy, Poland, Spain and Turkey. The figure is considerably higher than previously announced. MAN committed €300 million to its own network earlier this year, while dealers, service partners and importers have now pledged a further €400 million for their MAN locations across Europe. The investment will be used both to modernise existing locations and add new service points in areas where MAN considers its current geographical coverage insufficient. For transport operators, the most tangible target is a substantial reduction in the distance trucks need to travel for servicing and repairs. MAN says it wants almost four out of five customers to have a journey of less than 30 minutes to their nearest service location. The target is being pursued particularly in Germany, Austria, Switzerland, France, the United Kingdom, Italy, Poland, Spain and Turkey. New sites are expected in especially logistics-intensive regions where existing coverage is not sufficient. Earlier this year, Friedrich Baumann, MAN executive board member for Sales and Customer Solutions, said the company was opening an average of seven new branches a year in these priority markets. MAN argued that proximity to workshops is particularly important in commercial transport because vehicle availability directly affects operators’ businesses. Electric trucks change what a workshop needs to provide The expansion is not simply about putting more conventional workshops on the map. Around one third of the planned investment is earmarked for electromobility and digitalisation, as MAN prepares its
1d ago · via trans.info
JAKARTA - Chinese heavy equipment manufacturer SANY delivered 200 electric haulers and 403 electric wheel loaders to customers in various countries during August 2026. The delivery is part of the expansion of the company's developed line of electric-powered heavy equipment products. SANY announced the shipment via a post on LinkedIn. The company said 200 electric haulers and 403 electric wheel loaders have left its facilities in China to be delivered to customers in various regions of the world. "Our range of electric products continues to grow as more and more customers seek ways to reduce emissions and operate more sustainably," SANY wrote in its post. The company also said it was providing more and more engine options with electric and diesel power so that customers could choose the right tool for their needs. In addition to electric haulers and wheel loaders, SANY is also developing a number of other electrification products. The line includes electric reach stackers, electric semi-trucks, and electric excavators. A number of SANY electric heavy equipment uses large-capacity batteries of up to 550 kWh that can be exchanged. The system is used to support vehicle operations in the construction and mining sectors. SANY is also developing autonomous vehicle technology for heavy equipment. One of the products introduced by the company is the SKT145Ei, a heavy-duty electric-powered hauler truck that was featured at the SANY Global Mining Key Customer Summit in Xi'an. In the transportation vehicle segment, SANY is also working with Pony.ai on a plan to develop 100,000 autonomous electric semi-trucks, which are targeted to be built by 2030. The delivery of 200 electric haulage trucks and 403 electric wheel loaders in August 2026 adds to the number of SANY electrification products that have been marketed to customers in various regions. The English, Chinese, Japanese, Arabic, and
1d ago · via voi.id
Autonomous driving AI technology company RideFlux has joined hands with a commercial vehicle maker to move into cooperation at the mass production stage. RideFlux said on Sept. 7 it signed a memorandum of understanding with Tata Daewoo Mobility to cooperate on developing a Level 2+ driver assistance system for commercial vehicles and Level 4 autonomous driving. A Level 2+ driver assistance system is technology that integrates control of a vehicle’s longitudinal and lateral movements, including lane keeping as well as lane changes, branching and merging, overtaking and passing through toll gates. Under the agreement, the two companies will pursue mass production of a Level 2+ driver assistance system by installing RideFlux’s software for five core highway functions on the vehicle platforms of Tata Daewoo Mobility’s large trucks, Maxen and Kuxen. Tata Daewoo Mobility will provide the vehicle platforms and vehicle control interfaces, while RideFlux will take full responsibility for advanced development of DCAS software, a driver control assistance system that meets the international standard UN R171. RideFlux plans to build a data virtuous cycle structure after mass production application, using real driving data collected from sold vehicles to simultaneously improve Level 2+ performance and verify Level 4, strengthening the reliability of its core autonomous driving technology. Following the country’s first paid autonomous truck freight transport service launched in July with Hanjin, RideFlux has secured a new B2B revenue pillar through this agreement by supplying autonomous driving software to automakers. It is expected to support its recently launched KOSDAQ listing process as it moves away from a business structure centered on government demonstrations and builds a track record of commercialization. Tae-sung Kim (김태성), CEO of Tata Daewoo Mobility, said, "Autonomous driving is a core technology that enhances driver safety and convenience and solves the labor shortages and transport efficiency problems the
Sep 7, 2026 · via digitaltoday.co.kr
RideFlux said on the 7th that it signed a memorandum of understanding with commercial vehicle maker Tata Daewoo Mobility on the 3rd to jointly develop Level 2+ driver assistance systems and Level 4 autonomous driving technology for commercial vehicles. Under the agreement, the two companies will install RideFlux's software covering five core highway functions in Tata Daewoo's Maxen and Gooseon heavy-duty trucks and move toward mass production of a Level 2+ driver assistance system. RideFlux will develop driver control assistance system software that meets the international UN R171 standard and fit it to Tata Daewoo's trucks. The Level 2+ system provides integrated control of a vehicle's longitudinal and lateral movement, including lane keeping, lane changes, merging and diverging, overtaking and passing through tollgates. Once the system reaches mass production, RideFlux plans to build a data feedback loop that uses real driving data collected from vehicles sold to improve Level 2+ performance and validate Level 4 technology at the same time. The companies also laid out plans for fully driverless Level 4 commercial service. RideFlux is discussing with Tata Daewoo a plan to mass-produce fully driverless Level 4 trucks. The two sides will also link their work to the software-defined vehicle architecture of Tata Motors, Tata Daewoo's parent company and the largest commercial vehicle maker in India, to build a foundation for entering the global commercial vehicle market together. "This agreement is a milestone in RideFlux's full-scale expansion into the business-to-business market," RideFlux CEO Park Joong-hee said. "We will achieve both mass-production of Level 2+ systems and commercialization of Level 4 in the global commercial vehicle market."
Sep 7, 2026 · via en.sedaily.com
*This content was translated by AI. Tata Daewoo Mobility announced on the 7th that it signed a memorandum of understanding (MOU) with Rideflux, an autonomous AI software company, at its Gunsan headquarters in Jeollabuk-do on the 3rd to cooperate on developing a Level 2+ driving assistance system for commercial vehicles and commercializing Level 4 autonomous driving. Through this agreement, both companies will jointly develop a Level 2+ driving assistance system based on the large truck 'MAXEN' and medium truck 'KUXEN' platforms. Tata Daewoo Mobility will provide applicable vehicle models, vehicle platforms, and control interfaces, while Rideflux will develop and install core autonomous driving software required for highway driving of commercial vehicles. Both companies will expand their cooperation beyond proving Level 4 autonomous trucks to the full-scale commercialization stage. Tata Daewoo Mobility will review the selection of applicable vehicle models, vehicle modifications, and Yangsan plans, while Rideflux will supply software solutions to establish a roadmap for fully unmanned Level 4 truck Yangsan through gradual technological advancement. Additionally, they plan to pursue cooperation with Tata Motors to enter the global commercial vehicle market. Previously, both companies conducted a Level 4 autonomous driving pilot run based on 'MAXEN' on highways and general roads in Seoul and the Chungcheong region last year. Since July this year, they have been jointly carrying out Korea's first paid freight transport by autonomous trucks on the Hanjin Gunsan–Jeonju–Daejeon route. Kim Tae-sung of Tata DaewooMo Bil-ri-ti (President) stated, "We will expand our cooperation from proving to applying Yangsan vehicles and reviewing commercialization, creating results that solve labor shortages and transportation efficiency issues in the logistics industry." Park Jung-hee, CEO of Rideflux, emphasized, "This agreement will be a milestone extending beyond the government-led proof structure to the private B2B market for finished vehicle Yangsan." <© STARNEWS. All rights reserved. No
Sep 7, 2026 · via starnewskorea.com
While North American fleets continue to drag their fleet on electric, the rest of the world is charging ahead. As if to prove that fact, Chinese equipment brand SANY delivered 200 heavy-duty electric haul trucks and more than 600 electric wheel loaders. In a single month. (!) SANY took to LinkedIn to announce that the heavy equipment brand had shipped 200 electric dump trucks and 403 electric wheel loaders to customers all over the world – and that number doesn’t include the company’s growing line up of electric reach-stackers, electric semi trucks, or electric excavators (among other things). “Our electric range continues to grow as more customers look for ways to reduce emissions and operate more sustainably,” reads the SANY post, on LinkedIn. “We’re proud to offer a growing selection of high-quality machinery across both electric and diesel, giving our customers more options to find the right machine for their needs.” Rolling proof Many of SANY’s electric equipment options use a massive, swappable 550 kWh battery pack that enables construction and mining crews the ability to keep the Earth moving and the wheels turning with greater efficiency than diesel, while helping to stabilize the grid in whatever region they’re deployed – and that is rapidly becoming a lot of regions! SANY is also working on a number of autonomous products, as well – from the fully cab-less SKT145Ei electric heavy haul trucks shown at SANY’s Global Mining Key Customer Summit in Xi’an to the 100,000 electric semi trucks it’s planning to build with Pony.ai. All of which is to say: the West needs to stop playing around with time-wasting side-quests like hydrogen, and get busy electrifying its commercial fleets in a big way if it plans to stay in business for much longer. SOURCE | IMAGES: SANY, via LinkedIn. If
Sep 6, 2026 · via electrek.co
If you have ever driven past a construction site and watched an excavator moving huge piles of dirt, you probably figured there was an experienced operator sitting in the cab. On some job sites in Texas and Nevada, there is nobody in that seat. San Francisco-based Bedrock Robotics has autonomous excavators doing real commercial earthwork with no operator onboard. The company says the deployments follow a year of testing on active job sites with human supervision. Seeing AI take over software tasks is one thing. Watching it control a massive excavator on a live construction site feels very different. Bedrock says this could help contractors deal with worker shortages and keep projects moving more efficiently. Here's how the technology works and what could come next. Missed CyberGuy LIVE? Watch the Protect Your Money replay Our free CyberGuy LIVE class, Protect Your Money From Today’s Biggest Threats , has ended, but you can still watch the full replay and download our financial protection checklist. Kurt "CyberGuy" Knutsson walks you through five simple ways to help defend yourself against AI scams, fraud, identity theft and financial hacks. You’ll learn how to set up bank alerts, strengthen your account logins, protect your phone number, freeze your credit and help secure your retirement savings against unauthorized transfers. No technical experience is needed. Get the free replay and checklist now at CyberGuyLive.com 100 KODIAK DRIVERLESS TRUCKS ARE HEADED FOR PUBLIC ROADS Bedrock's autonomous excavators are working on real projects Bedrock says its operator-free excavators are now active on major infrastructure projects. One machine is working on a Nevada water treatment facility with Sundt Construction. In Texas, Bedrock is working with Champion Site Prep on a multimillion-cubic-yard earthwork project. The company also has a 1.2 million-cubic-yard civil sitework project with Zachry Construction Corporation. The current work
Sep 6, 2026 · via foxnews.com
Caterpillar and FieldAI Partner to Advance Physical AI and Autonomy Caterpillar has announced a new partnership with FieldAI aimed at pushing forward physical AI, autonomy, and robotics in both jobsite and manufacturing settings. The objective is to support sectors grappling with workforce shortages and heightened efficiency demands, enabling safer and more productive operations. This alliance sits at the core of Caterpillar's vision for the evolution of its industries. The company believes the trajectory of its sectors hinges on merging human skill with AI-driven machinery. Jaime Mineart, Caterpillar's Chief Technology Officer, noted that such partnerships speed up this process, emphasizing a commitment to deploying AI in high-impact areas to boost safety, enhance output, and maximize operational value for clients. Caterpillar chose FieldAI because of its proven capability to function in intricate, ever-changing industrial settings where conventional automation frequently underperforms. FieldAI's hardware-agnostic autonomy approach and foundation models are engineered to convert extensive operational and site data into practical intelligence, aligning with Caterpillar's efforts to modernize manufacturing and develop future-ready jobsites. The two firms have pinpointed initial use cases, though the source does not list them explicitly. This initiative extends autonomy research that Caterpillar traces back over three decades, originating with a collaboration with Carnegie Mellon University during the 1980s. That early work focused on crafting software, GPS, and perception technologies, which culminated in Caterpillar's initial trials of driverless trucks. Throughout the 1990s and 2000s, the company refined its expertise in sensing, positioning, and control, alongside rigorous testing in harsh conditions. Caterpillar emerged as a pioneer in delivering Level 4 autonomy, where machines function without human intervention. Since launching its autonomous operations, Caterpillar's self-driving mining fleet has transported more than 11 billion tonnes of material and logged over 380 million kilometres without incident. Ali Agha, Founder and CEO of FieldAI, highlighted that Caterpillar
Sep 6, 2026 · via indexbox.io
Every 8-K that Aurora Innovation Inc (AUR) has filed with the SEC in the last 24 months is listed below, newest first, and each one links through to the document itself with the summary and the scores our analysis gives it. A 8-K covers material events a company has to report between its quarterly reports, so if you follow AUR and want that one kind of document rather than the whole filing history, this is the page to keep. The company's other filings, of every form, are on the full AUR filings page. Aurora Innovation reported second-quarter 2026 results and detailed rapid progress in autonomous trucking. Revenue was $2 million, while net loss was $270 million and Adjusted EBITDA was a loss of $200 million. Operating expenses remained heavy, with research and development at $211 million and selling, general and administrative expense at $50 million. The company used approximately $225 million in operating cash in the quarter and $31 million in capital expenditures, but strengthened liquidity via its at-the-market equity program, issuing 30 million Class A shares for $215 million of net proceeds. After funding $63 million of cash bonuses and tax obligations, liquidity rose by $126 million, ending with nearly $1.2 billion in cash and short-term investments. Management continues to expect 2026 revenue of $14–$16 million, up 400% year-over-year at the midpoint, with more than 200 driverless trucks in operation by year-end and an approximately $80 million Transportation as a Service revenue run-rate. Operationally, Aurora launched a new fleet of driverless trucks based on the International LT series without a person behind the wheel, marking the start of its commercial scaling phase. The Aurora Driver completed nearly 440,000 driverless miles through June 30, 2026 with 100% on-time performance and zero Aurora Driver-attributed collisions, contributing to over 6 million cumulative
Sep 6, 2026 · via stocktitan.net
Xcanbot Mate X wins IFA Innovation Award for autonomous mobility robot with 360-degree navigation
● 17 hours ago
Xcanbot's Mate X, a seated mobility robot, won the Tech for Good & Accessibility category at the IFA Innovation Awards 2026 in Berlin. The robot also received Honoree status in IFA NEXT & Emerging Tech.
The Mate X autonomously navigates to chosen destinations using 12 sensors including LiDAR, cameras, and ultrasonics that provide 360-degree awareness. It features an electric seat lift that raises riders up to 18cm and offers a range of up to 30km on a 453.6 Wh LFP battery.
Shenzhen-based Xcanbot designed the device as consumer technology rather than clinical equipment. The robot processes navigation data on-device without uploading information.
The Mate X will exhibit at REHACARE International 2026 in Düsseldorf from 23-26 September, targeting European distributors. A crowdfunding campaign is planned, with Europe as the first market.
Source: apnews.com
Sep 5, 2026 · via app.dealroom.co
Huawei Enterprise AI Push Is Reshaping Industrial Infrastructure The company is combining 5G, autonomous vehicles, cloud systems and operating software to build integrated technology platforms for mines and other industrial operators. Huawei’s expanding enterprise business is becoming a test of how China’s industrial infrastructure may be reorganised around connected machines, artificial intelligence and fewer workers in hazardous environments. At the Yimin coal mine in China’s far north-east, about 100 autonomous lorries transport coal without drivers. The vehicles can operate through the night and in poor weather, and can change their own batteries. The mine, operated by state-owned power utility Huaneng, covers about 42 square kilometres. Each autonomous lorry can carry 90 tonnes of coal. According to Zhao Yaozhong, a Huaneng manager cited in the supplied report, the deployment has allowed 120 workers to move to posts outside the pit, reducing their exposure to dust and danger. If the planned expansion proceeds, another 300 autonomous lorries could be added over the next three years, with most people eventually removed from operations inside the pit. The significance of Yimin is not limited to the vehicles themselves. The mine demonstrates Huawei’s attempt to sell a connected industrial system rather than a single piece of equipment. Base stations provide 5G coverage across the site, enabling the autonomous-driving system to function. The driving technology was developed from Huawei’s automotive work and adapted to the size of the lorries and the conditions inside the mine. An operating system called Mine HarmonyOS controls the mine’s operations, while artificial-intelligence software from Huawei’s cloud division is used in some underground mines to interpret geological data and monitor equipment remotely. This integration reflects a strategy Huawei announced in 2021, when it created specialised enterprise teams known as juntuan, or “army corps”. These teams were designed to combine capabilities from across
Sep 5, 2026 · via urbanacres.in