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) …
Today at the Frankfurt motor show, one of the biggest and most prestigious motor shows in the world, Sheryl Sandberg, COO of Facebook, spoke before German Chancellor Angela Merkel. Now what is Facebook and most importantly, Sheryl Sandberg doing at an automotive industry event? The obvious answer that comes to mind when one relates Facebook and the car industry is the billions of advertising dollars the industry spends on marketing and advertising. However, that does not seem to be Facebook's game plan, as highlighted by Sheryl and shown at their pavilion. Facebook seems to have a strategy of leveraging its capabilities in social marketing, AR & VR and interestingly, who would have thought of it, leveraging its advanced AI and deep learning capabilities to support the development of autonomous vehicles.
Traditional intelligent algorithms generally use shallow learning models to handle situations with large amounts of data in complex classifications. Some of the most direct benefits that deep learning algorithms can bring include achieving comparable or even better-than-human pattern recognition accuracy, strong anti-interference capabilities, and the ability to classify and recognise thousands of features. With this large amount of quality training data, human, vehicle, and object pattern recognition models will become more and more accurate for video surveillance use. The deep learning model requires a large amount of samples, making a large amount of calculations inevitable.
Last year, Intel Corp. acquired neural-network hardware maker Nervana and built Nervana's chip, integrating it with Intel's own on-processor deep-learning and artificial-intelligence (AI) capabilities. This month, Intel Capital invested in AI startups CognitiveScale, Aeye Inc., and Element AI. Intel is investing in AI startups, acquiring others, and blending the mix with its own AI expertise to ensure a leadership position in machine learning, deep learning, and brainlike neural networks based on its AI hardware and software. Element AI's new world Perhaps the most enigmatic of the AI startups in which Intel Capital has invested is Element AI, which claims to be conjuring an "AI-First World" that "elevates collective wisdom."
The Sensor Acquisition Module, for example, is responsible for communicating and receiving data from sensors, while the Main Module will make predictions and make decisions to send to the engine's control module. This experimental system includes 4 main modules: The Sensor Acquisition Module, the Vision Module, the Occupant-System Communication Module and the Artificial Perception Operation Module. Data from the Sensor Acquisition Module and Vision Module is then transmitted through a communication network to an Artificial Perception Operation Module, which is a powerful computer with an intelligent software capable of predicting the behavior of surrounding objects. Also using object detection based on reflection technique; however, radar sensors use electromagnetic waves to scan objects.
In fact, unit shipments of artificial intelligence (AI) systems used in infotainment and ADAS systems are expected to rise from just 7 million in 2015 to 122 million by 2025, according to IHS Inc. (NYSE: IHS), the leading global source of critical information and insight. Specifically in ADAS, deep learning -- which mimics human neural networks -- presents several advantages over traditional algorithms; it is also a key milestone on the road to fully autonomous vehicles. In the infotainment human machine interfaces currently installed, most of the speech recognition technologies already rely on algorithms based on neural networks running in the cloud. IHS (NYSE: IHS) is the leading source of insight, analytics and expertise in critical areas that shape today's business landscape.
NVIDIA (NASDAQ:NVDA) and Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) Google are two leaders in the car tech space -- and they're just getting started. Advanced hardware NVIDIA released two huge steps forward in automotive technology recently: its Drive PX 2 system and the DGX-1 supercomputer. Drive PX 2 is the next iteration of NVIDIA's Drive PX system, which already helps power some of world's most advanced autonomous cars. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Nvidia, and Tesla Motors.
Advanced hardware NVIDIA released two huge steps forward in automotive technology recently: its Drive PX 2 system and the DGX-1 supercomputer. Drive PX 2 is the next iteration of NVIDIA's Drive PX system, which already helps power some of world's most advanced autonomous cars. To do that, Google's used deep learning to make its driverless cars drive in ways that we understand. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Nvidia, and Tesla Motors.