The White House Office of Science and Technology Policy, the National Science Foundation (NSF), and the US Department of Energy (DOE) announced more than $1 billion in awards for the establishment of 12 new artificial intelligence (AI) and quantum information science (QIS) research institutes nationwide. The $1 billion will go... Read more →

Groupe Renault and Google Cloud announced a new industrial and technology partnership to accelerate the digitization of Groupe Renault’s industrial system and of Industry 4.0 transformation. A recognized contributor to Industry 4.0, Groupe Renault has been developing its own digital platform since 2016 to connect and to aggregate industrial data... Read more →

NREL researchers use adversarial training to super-resolve climate data; up to 50X higher resolution data

Researchers at the US Department of Energy’s (DOE’s) National Renewable Energy Laboratory (NREL) have developed a novel machine learning approach quickly to enhance the resolution of wind velocity data by 50 times and solar irradiance data by 25 times—an enhancement that had yet to be achieved with climate data. The... Read more →

Cambridge Consultants introduces EnfuseNet AI system for autonomous vehicles; leveraging low-cost sensors and cameras

Cambridge Consultants, part of the Capgemini Group, has introduced EnfuseNet, an Artificial Intelligence (AI) system for autonomous vehicles. EnfuseNet fuses data from low-cost sensors and cameras—hardware costing just tens of dollars—to generate high-resolution depth data, the ideal reference point for autonomous systems. The result is very low-cost, high-resolution depth data... Read more →

Using radar commonly deployed to track speeders and fastballs, researchers have developed an automated system that will allow cars to peer around corners and spot oncoming traffic and pedestrians. Researchers combined artificial intelligence and radar used to track speeders to develop a system that will allow vehicles to spot hazards... Read more →

Mercedes-Benz and NVIDIA plan to enter into a cooperation to create a new in-vehicle computing system and AI computing infrastructure. Starting in 2024, this will be rolled out across the fleet of next-generation Mercedes-Benz vehicles, enabling them with upgradable automated driving functions. The new software-defined architecture will be built on... Read more →

Researchers at Carnegie Mellon University have shown that they can significantly improve the accuracy of autonomous vehicles’ detection of objects such as other cars or pedestrians by helping the vehicle also recognize what it doesn’t see. CMU research shows that what a self-driving car doesn’t see (in green) is as... Read more →

Venti Technologies has successfully deployed two autonomous SUVs built by SAIC-GM-Wuling Automobile (SGMW), the joint venture formed by Chinese automakers SAIC and Wuling, along with GM, achieving another milestone in its path to commercialization. The two autonomous SUVs were deployed at a school at Nanning City, the capital of Guangxi... Read more →

Dürr is announcing the availability of the first market-ready AI application for paint shops: Advanced Analytics. The solution, which combines the latest IT technology and mechanical engineering expertise, identifies sources of defects and determines optimal maintenance schedules. It also tracks previously unknown correlations and uses the knowledge to adapt the... Read more →

BMW Group has selected the new NVIDIA Isaac robotics platform to enhance its automotive factories, utilizing logistics robots built on advanced AI computing and visualization technologies. The collaboration centers on implementing an end-to-end system based on NVIDIA technologies—from training and testing through to deployment—with robots developed using one software architecture,... Read more →

Researchers from Duke University have devised a computer vision algorithm for estimating ground-level PM2.5 at a high spatiotemporal resolution by directly processing global-coverage, daily, near real-time updated, micro-satellite imagery of spatial coverages significantly smaller than 1 x 1 km (e.g., 200 x 200 m) available from Planet Lab. The results appear in... Read more →

Fujitsu Limited announced the results of a joint field trial with the Japan Coast Guard to predict vessel collisions with AI technology, demonstrating its usefulness in detecting collision risks early and minimizing the danger of such accidents. The trial in Japan marine traffic control was conducted from December 2019 to... Read more →

Karma Automotive introduced its SAEnLevel 4 autonomous van with a battery electric vehicle (BEV) architecture, one of five platforms designed to offer new electric mobility solutions through highly versatile EREV (extended range electric vehicle) and BEV chassis systems. Karma’s new L4 E-Flex Van is powered by the NVIDIA DRIVE AGX... Read more →

When searching through theoretical lists of possible new materials for particular applications, such as batteries or other energy-related devices, there are often millions of potential materials that could be considered, and multiple criteria that need to be met and optimized at once. Now, researchers at MIT have found a way... Read more →

A data-driven simulation system invented at MIT, in collaboration with the Toyota Research Institute, to train driverless cars creates a photorealistic world with infinite steering possibilities, helping the cars learn to navigate a host of worse-case scenarios before cruising down real streets. Control systems for autonomous vehicles largely rely on... Read more →

Toyota Research Institute launches research into understanding and predicting human behavior for decision making; Machine Assisted Cognition

The Toyota Research Institute (TRI) is expanding its exploratory research with the launch of Machine Assisted Cognition (MAC), a new initiative to develop and demonstrate artificial intelligence tools that can understand and predict human behavior in the context of decision making. A key pillar of TRI’s charter is to explore... Read more →

In a recent Leaderboard report, Navigant Research ranks NVIDIA as the leading automated driving compute platform. Navigant ranks companies in this report on 10 criteria: vision; go-to market strategy; partners; production strategy; technology; sales, marketing, and distribution; product capability; product quality and reliability; product portfolio; and staying power. Automated Vehicle... Read more →

At the Bosch Connected World 2020 (BCW) conference in Berlin, Human Horizons initiated an agreement with Bosch Connected Mobility Solutions for further cooperation on Bosch’s Battery in the Cloud technology. (Earlier post.) This technology connects electric-vehicle batteries with the cloud to extend battery life, substantially improve the battery’s performance and... Read more →

Approximately 6 billion gallons of fuel are wasted in the US each year as vehicles wait at stop lights or sit in dense traffic with engines idling, according to US Department of Energy estimates. The least efficient of these vehicles are the large, heavy trucks used for hauling goods—they burn... Read more →

At every stage of the battery development process, new technologies must be tested for months or even years to determine how long they will last. Now, a team led by Stanford professors Stefano Ermon and William Chueh has developed a machine learning-based method that slashes these testing times by 98%.... Read more →

ThunderSoft and Didi Chuxing build strategic partnership focused on intelligent automotive operating system

China-based ThunderSoft, an operating system technology provider, and Didi Chuxing announced a strategic collaboration focused on intelligent automotive operating system products and solutions for automotive manufacturers and Tier 1 suppliers. This partnership is intended to accelerate the development of the Intelligent Connected Vehicle (ICV) by combining ThunderSoft’s OS technology and... Read more →

A model developed by Researchers at MIT and Qatar Computing Research Institute (QCRI) have developed a model that uses satellite imagery to tag road features in digital maps to help improve GPS navigation. Showing drivers more details about their routes can often help them navigate in unfamiliar locations. Lane counts,... Read more →

BMW i Ventures has invested in Alitheon, an optical AI software creator and deep-tech startup developing generative engineering software aimed at automating the product development process. All objects—even those that are indistinguishable to the human eye—have unique surface characteristics. Alitheon’s FeaturePrint technology uses off-the-shelf cameras and proprietary software to identify... Read more →

NVIDIA provides transportation industry access to its deep neural networks for autonomous vehicles

NVIDIA will provide the transportation industry with access to its NVIDIA DRIVE deep neural networks (DNNs) for autonomous vehicle development on the NVIDIA GPU Cloud (NGC) container registry. NVIDIA DRIVE has become a de facto standard for AV development, used broadly by automakers, truck manufacturers, robotaxi companies, software companies and... Read more →

IEEE to define a formal model for safe automated vehicle decision-making

The Institute of Electrical and Electronics Engineers (IEEE) has approved a proposal to develop a standard for safety considerations in automated vehicle (AV) decision-making and named Intel Senior Principal Engineer Jack Weast to lead the workgroup. The new standard—IEEE 2846—will establish a formal rules-based mathematical model for automated vehicle decision-making... Read more →

Oxbotica integrating its autonomous vehicle software with ZF hardware

Oxbotica, an autonomous vehicle software spinout from Oxford University, has signed an MoU with ZF to integrate its autonomous driving software with ZF’s automotive-grade ProAI compute platform and sensor sets. (Earlier post.) Oxbotica provides a full suite of Universal Autonomy software that is fully modular, has low compute power requirements... Read more →

BMW Group shares on GitHub AI algorithms used in production

The BMW Group uses a growing number of artificial intelligence (AI) applications in production. For example, AI relieves workers of monotonous tasks such as checking whether the warning triangle is placed in the right spot in the trunk. This task is now performed by a camera and self-learning software that... Read more →

Volvo Group Venture Capital AB has invested in Apex.AI, a a Palo Alto, California-based software company in the field of autonomous mobility. The investment will fund the development of a safety-certified software framework for autonomous systems, Apex.OS. Apex.AI is building an automotive-grade version of ROS (Robot Operating System), an established... Read more →

Hankook Tire using AI for development of optimal tire compounds

Global tire maker announced that the company showed tangible results in its efforts for technology based innovation and digital transformation by developing the Virtual Compound Design (VCD) system, a predictive model for tire compound properties using artificial intelligence. The VCD system predicts the characteristics of compounds and draws the most... Read more →

MIT and Toyota researchers have designed a new model to help autonomous vehicles determine when it’s safe to merge into traffic at intersections with obstructed views. Their paper is published in IEEE Robotics and Automation Letters. In 2016, roughly 23% of fatal and 32% of nonfatal US traffic accidents occurred... Read more →

Startup using AI to improve traffic management at intersections; edge computing

Israel-based NoTraffic has developed a turnkey traffic management platform powered by V2I communication & real-time optimization of signalized intersections. The system is based on a smart network of plug-and-play AI sensors that can transform every signalized intersection to a smart one. In less than one hour, users are able to... Read more →

Toshiba Digital & Consulting Corporation (TDX) and Spain’s Gestamp, a multinational specialized in the design, development and manufacture of highly engineered metal components for top vehicle manufacturers, are cooperating in a project to bring advanced monitoring and analysis to the welding of vehicle chassis parts. By drawing on know-how from... Read more →

Audi developing robotic process automation (RPA); as of 2020 also in combination with AI

Audi is now developing software robots (bots) to carry out monotonous tasks for employees at PC workstations. The digital robots can perform tasks such as entering data or creating standardized reports faster, more efficiently and without errors. The company wants to relieve its employees of such work so that they... Read more →

Hyundai Motor Group has developed what it says it the world’s first Machine-Learning-based Smart Cruise Control (SCC-ML)—a technology that incorporates the driver’s patterns into its self-driving behavior, creating a custom experience for the driver. The technology incorporates artificial intelligence (AI) within the Advanced Driver Assistance System (ADAS) feature. The system... Read more →

Hyundai CRADLE invests in Netradyne; 350+ million miles of road data for HD mapping development

Hyundai CRADLE, Hyundai Motor Company’s corporate venturing and open innovation business, is investing in Netradyne, a US-based intelligent technology company specializing in fleet safety management software. The partnership supports further development of Level 3+ Advanced Driver Assistance Systems (L3+ ADAS) and Autonomous Driving (AD) features that may launch over the... Read more →

ARPA-E to award up to $35M to develop tools to transform operations and maintenance of advanced nuclear reactors

The Department of Energy’s (DOE) Advanced Research Projects Agency-Energy (ARPA-E) announced up to $35 million in new funding for the development of tools and systems that will enable reduced expense and increased flexibility in the operation and maintenance at nuclear power plants. ARPA-E’s Generating Electricity Managed by Intelligent Nuclear Assets... Read more →

Argonne team developing MaLTESE for onboard realtime adaptive learning and controls

Researchers at Argonne National Laboratory are developing a deep learning framework—MaLTESE (Machine Learning Tool for Engine Simulations and Experiments)—to meet ever-increasing demands to deliver better engine performance, fuel economy and reduced emissions. The MaLTESE effort is a great example of how Argonne supercomputing resources enable researchers to combine large-scale simulations... Read more →

Vision-oriented AI company Recogni raises $25M; investors include Toyota AI Ventures, BMW i Ventures, Faurecia

Recogni Inc., the designers of a vision-oriented artificial intelligence platform for autonomous vehicles, announced $25 million in Series A financing led by GreatPoint Ventures with participation from Toyota AI Ventures, BMW i Ventures, Faurecia, Fluxunit (VC arm of lighting and photonics company OSRAM), and DNS Capital. As the automotive industry... Read more →

BMW Group increasing use of AI in series production

Since 2018, the BMW Group has been using various AI applications in series production. One focus is automated image recognition: In these processes, artificial intelligence evaluates component images in ongoing production and compares them in milliseconds to hundreds of other images of the same sequence. This way, the AI application... Read more →

Recently Volvo Trucks North America, along with automated vehicle software provider Perceptive Automata and customer Dependable Highway Express (DHE), showcased a collaborative innovation project designed to strengthen safety capabilities for the trucking industry through automation. This project leverages human intuition artificial intelligence that reads the intention and awareness of vulnerable... Read more →

Volvo Group partners with NVIDIA to develop advanced AI platform for autonomous trucks

The Volvo Group has signed an agreement with NVIDIA jointly to develop the decision0-making system of autonomous commercial vehicles and machines. Utilizing NVIDIA’s end-to-end artificial intelligence platform for training, simulation and in-vehicle computing, the resulting system is designed to safely handle fully autonomous driving on public roads and highways. The... Read more →

Hyundai Motor Company is partnering with MDGo, an Israeli start-up specializing in medical artificial intelligence (AI) systems, to help shape the next generation of advanced vehicle safety systems. Hyundai Motor and MDGo will co-develop connected services that bring the worlds of health and automotive closer than ever. MDGo’s intelligent injury... Read more →

Agility Robotics has unveiled a new bipedal robot named Digit, which adds an upper torso, arms, sensors, and additional computing power to the company’s Cassie robot design. Digit’s four degree-of-freedom (4-DOF) arms greatly extend both the mobility and utility of Digit, as compared to Cassie. Digit Agility is teaming up... Read more →

DOE awards $5.5M to apply machine learning to geothermal exploration

The US Department of Energy (DOE) announced up to $5.5 million for 10 new projects to apply machine learning techniques to geothermal exploration and production. Machine learning—the use of advanced algorithms to identify patterns in and make inferences from data—could assist in finding and developing new geothermal resources. If applied... Read more →

ZF announced ZF coPILOT, an intelligent advanced driver assistance system (ADAS) leading to enhanced safety and driving comfort opportunities. Leveraging the power of AI and equipped with a comprehensive sensor set, vehicles can perform various automated driving functions, especially on freeways. In addition, ZF coPILOT can be operated with voice... Read more →

ARPA-E to award up to $20M to accelerate incorporation of AI and machine learning into energy technology

The US Department of Energy’s (DOE’s) Advanced Research Projects Agency-Energy (ARPA-E) announced up to $20 million in funding (DE-FOA-0002107) for the Design Intelligence for Formidable Energy Reduction Engendering Numerous Totally Impactful Advanced Technology Enhancements (DIFFERENTIATE) program. DIFFERENTIATE aims to enhance the productivity of energy engineers in helping them to develop... Read more →

Toyota Research Institute-Advanced Development, NVIDIA partner to accelerate use of autonomous vehicles and AI technologies

Toyota Research Institute-Advanced Development (TRI-AD) and NVIDIA announced a new collaboration to develop, train and validate self-driving vehicles. The partnership builds on an ongoing relationship with Toyota to utilize the NVIDIA DRIVE AGX Xavier AV computer and is based on close development between teams from NVIDIA, TRI-AD in Japan and... Read more →

SEAT launches Mobility Advisor proof-of-concept powered by Watson AI running on the IBM Cloud

SEAT and IBM have developed a new solution designed to transform driving in cities. Mobility Advisor uses IBM Watson AI to help urban citizens make informed decisions about their daily transportation options: from cars, to scooters, to bikes and public transport. Traffic congestion and environmental challenges are putting huge pressure... Read more →

U Mich researchers teaching self-driving cars to predict pedestrian movement; Bio-LSTM

University of Michigan researchers are teaching self-driving cars to recognize and predict pedestrian movements with greater precision than current technologies. The approach relies on a novel objective function that incorporates the periodicity of human walking (gait), the mirror symmetry of the human body, and the change of ground reaction forces... Read more →

Didi Chuxing, the world’s leading one-stop transportation platform, announced a new joint venture with Beijing Electric Vehicle Co., an affiliate of BAIC. BAIC-Xiaoju New Energy Auto Technology Co. Ltd (JingJu) aims to combine the two companies’ strengths in new energy fleet operation and AI transportation solutions to develop next-generation connected-car... Read more →