If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Argo AI was founded to tackle one of the most challenging applications in computer science, robotics and artificial intelligence with self-driving vehicles. Argo AI is developing and deploying the latest advancements in artificial intelligence, machine learning and computer vision to help build safe and efficient self-driving vehicles that enable these transformations and more. The challenges are significant, but we are a team that believes in tackling hard, meaningful problems to improve the world. We are building a high-performance team that is excited by complex engineering challenges and is passionate about making transportation safer, more affordable and accessible for all. This team solves problems that involve geometric computer vision: processing sensor data from Lidar or imagery and geometrically reasoning about that data.
ARGO is short for the Amazon Rainforest Genome Ontology project. The mission is to tap into the scientific, biotechnological, and medical potential of the plant biodiversity in the Amazon rainforest in order to discover, utilise and preserve their biological value … before it is too late. If you want to follow our progress, please signup below.
Argo AI was founded to tackle one of the most challenging applications in computer science, robotics and artificial intelligence with self-driving vehicles. Argo AI is developing and deploying the latest advancements in artificial intelligence, machine learning and computer vision to help build safe and efficient self-driving vehicles that enable these transformations and more. The challenges are significant, but we are a team that believes in tackling hard, meaningful problems to improve the world. We are building a high-performance team that is excited by complex engineering challenges and is passionate about making transportation safer, more affordable and accessible for all. Within this organization, the Functional Architecture systems team at Argo AI is responsible for defining the top level functionality and requirements of the self driving system and following through with functional and requirements decomposition, definition of the functional architecture and allocation of functionality to the various subsystems and modules that comprise the autonomous vehicle.
FRANKFURT - Volkswagen AG and Ford Motor Co. will cooperate on electric and self-driving car technology, sharing costs on a global scale to take a major step forward in the industry's disruptive transformation. VW will invest $2.6 billion in Ford's autonomous-car partner Argo AI in a deal that values the operation at more than $7 billion, the two manufacturers said Friday in a joint statement in New York, confirming a figure first reported by Bloomberg. This includes $1 billion in funding and VW contributing its Audi $1.6 billion Autonomous Intelligent Driving unit. "While Ford and Volkswagen remain independent and fiercely competitive in the marketplace, teaming up and working with Argo AI on this important technology allows us to deliver unmatched capability, scale and geographic reach," Ford Chief Executive Officer Jim Hackett said. Ford shares climbed as much as 2.1 percent as of 9:40 a.m.
It's not like academic researchers have the time or money to command a fleet of self-driving mapping vehicles, which is why Argoverse is so important to that community. A self-driving car is only as good as its maps. Automakers around the world have made efforts to create high-definition maps of as many roads as possible as they ramp up AV development, so that their cars can have the best idea possible of the surrounding world. But while most groups don't seem too keen on the idea of giving those maps away, Ford's Argo AI is taking a different approach. Argo AI announced on Wednesday that it has created a public repository for its self-driving-car development data, including high-definition maps.
Automakers and technology companies continue to push toward introduction of the first fleets of fully self-driving vehicles. But building trust in the robotic vehicles is proving just as important as getting the cars to navigate roadways without a human driver. Ford Motor Co., General Motors Co., Google's self-driving affiliate Waymo LLC and a number of other companies have spent billions and taken more than a decade to develop technology capable of hauling people or goods without a human in the driver's seat. GM plans to launch a fleet this year, Ford by 2021. Waymo started a small service in Phoenix late last year.
Argo AI, the Pittsburgh-based autonomous vehicle startup in which Ford invested $1 billion in 2017, has expanded its testing to downtown Detroit with a new third-generation self-driving car. Argo AI is developing the virtual driver system and high-definition maps designed for Ford's self-driving vehicles. The third-generation self-driving vehicle is still based on a Ford Fusion Hybrid like its previous test cars. This latest iteration has a number of mechanical, sensing, compute and software upgrades that will take the company a step closer to production specification. Importantly, these vehicles also have redundant braking and steering systems that help maintain vehicle motion control in case one of the units stops functioning.
The autonomous vehicle industry is looking a lot like a middle-school dance. Monday, Aurora and Fiat Chrysler Automobiles announced they would work together to put the startup's self-driving tech, called Aurora Driver, into FCA's commercial vehicles, including cargo vans and Ram pickup trucks. On Tuesday, word leaked that Aurora and Volkswagen had discontinued their 18-month joint effort to build an urban robotaxi system. Wednesday, Aurora and Hyundai said they're doubling down on their own partnership, with the South Korean company (and its conglomerate partner, Kia) pouring more money into Aurora's now $600 million Series B financing round. The companies will continue to work together to build Aurora's tech into Hyundai's hydrogen-powered Nexo.
WASHINGTON - Uber is testing restaurant food deliveries by drone. The company's Uber Eats unit began the tests in San Diego with McDonald's and plans to expand to other restaurants later this year. Uber says the service should decrease food delivery times. It works this way: Workers at a restaurant load the meal into a drone and it takes off, tracked and guided by a new aerospace management system. The drone then meets an Uber Eats driver at a drop-off location, and the driver will hand-deliver the meal to the customer.
For different areas of ML like computer vision, NLP (natural language processing), and recommendation systems, there are a lot of articles about the new models being developed like BERT, YOLO, SSD, etc. There are quite a few other components to consider -- data ingestion, data pre-processing, model training, model serving, and model monitoring. The first step in the ML pipeline is to ingest the correct data from the relevant data source and then clean or modify it for your application. Apache Beam can be used for batch and stream processing, hence the same pipeline can be used for processing batch data (during training) and for streaming data during prediction. Apache Airflow -- The managed version of Airflow is GCP's Cloud Composer and is used for workflow orchestration.