Argo AI is in the business of building self-driving technology you can trust. With experienced leaders in the field and collaborative partnerships with some of the world's largest automakers, we're building self-driving technology that is engineered to scale globally and transform mobility for millions. Talented individuals join our team because they share our purpose to make it safe, easy, and enjoyable for everyone to get around cities. We aspire to impact key industries that move people and goods, from ride hailing to deliveries. The Machine Learning Infrastructure & Analytics (MLIA) team at Argo is responsible for delivering the platforms, tools, and services that power the ML workflows and Data Analysis needs of the organization. The Data Engineering sub-team of MLIA builds and maintains the data pipelines and software tooling that drive Ground Truth Labeling, ML Training, Data Science, and Data Analytics at Argo.
The global artificial intelligence (AI) in transportation market is projected to reach $3.5 billion by 2023. Due to the rising concerns for vehicle and driver safety, increasing focus on lowering the transportation costs, and advancements in autonomous vehicles, the artificial intelligence (AI) in transportation market is witnessing significant growth. In 2017, the market valued at $1.4 billion, and it is predicted to generate a revenue of $3.5 billion by 2023, exhibiting a CAGR of 16.5% during the forecast period (2018–2023). AI in transportation involves the use of computer vision, deep learning, and natural language processing technologies. Video camera, radio detection and ranging (RADAR) sensors, and light detection and ranging (LiDAR) equipment are some of the AI-based hardware installed in fully autonomous vehicles which are under trial.
Lyft Inc has formed a self-driving car division, company executives said, a bold investment for the second-largest U.S. ride-services firm as it jockeys for position in the highly competitive autonomous vehicle race. The executives said on Thursday the company would soon open a facility in Palo Alto, California known as'Level 5' that would eventually be staffed by'several hundred' engineers. Lyft engineers will collaborate there with autonomous vehicle experts from other companies to build self-driving systems. Lyft Inc has formed a self-driving car division, company executives said, a bold investment for the second-largest U.S. ride-services firm as it jockeys for position in the highly competitive autonomous vehicle race Waymo and Lyft are joining forces against ridesharing giant Uber, which is racing to develop its own self-driving vehicles. 'Waymo holds today's best self-driving technology, and collaborating with them will accelerate our shared vision of improving lives with the world s best transportation,' the Lyft statement read.
Argo.ai has closed a $2.6 billion investment from Volkswagen to strengthen the self-driving startup's presence across Europe. Commentary: Please join our sister sites in fundraising to help address racism. Pittsburgh-based Argo.ai said in a blog post on Tuesday that the funding, initially invested in July 2019, will be used to bolster its position in Europe with the addition of VW Group's Munich-based Autonomous Intelligent Driving (AID) team. AID is working on the development of intelligent self-driving car technology for use in urban areas and potential applications such as robotic taxis and autonomous shuttles. Now due to be rebranded as Argo Munich, the team's base will also become Argo.ai's
Traffic accidents are a major unsolved problem worldwide. Yearly, it causes around 1.35 million deaths and 10 million people sustain nonfatal injuries9 in addition to having substantial negative economic and social effects. With approximately 90% of accidents being due to human errors, autonomous driving (AD) will play a vital role in saving human lives and substantial property damage. Moreover, it promises far greater mobility, energy saving, and less air pollution. Despite the recent advances to achieve such promising vision, enabling autonomous vehicles in complex environments is still decades away.6