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) …
Komatsu, one of the world's largest manufacturers of construction and mining equipment, has selected NVIDIA as its partner to bring AI to jobsites, making them safer and more efficient, NVIDIA announced today. The partnership – described at GTC Japan by NVIDIA founder and CEO Jensen Huang – will focus on Komatsu using NVIDIA GPUs to visualize and analyze entire construction sites. The NVIDIA Jetson AI platform will serve as the brain of heavy machinery deployed on these sites, enabling improved safety and productivity. "Artificial intelligence is sweeping across industries, and its next frontier is autonomous intelligent machines," said Huang, speaking at NVIDIA's final of seven global GPU Technology Conferences this year. "Future machines will perceive their surroundings and be continuously alert, helping operators work more efficiently and safely.
Japanese construction equipment manufacturer Komatsu will work with Nvidia to use artificial intelligence to make construction sites safer. Santa Clara, California-based Nvidia announced the deal at its GTC Japan event, where CEO Jensen Huang said that Nvidia graphics processing units (GPUs, which can be used for AI processing) will power visualization and analysis of construction sites for safety issues. Nvidia's Jetson AI platform, a credit card-sized device designed to drive robots and drones, will serve as the brains of heavy machinery. "Artificial intelligence is sweeping across industries, and its next frontier is autonomous intelligent machines," Huang said in a statement. "Future machines will perceive their surroundings and be continuously alert, helping operators work more efficiently and safely.
Rockets, electric cars, solar panels, batteries--whirlwind industrialist Elon Musk has set about reinventing one after another. Thursday, he added another ambitious project to the list: Future Tesla vehicles will run their self-driving AI software on a chip designed by the automaker itself. "We are developing customized AI hardware chips," Musk told a room of AI experts from companies such as Alphabet and Uber on the sidelines of the world's leading AI conference. Musk claimed that the chips' processing power would help Tesla's Autopilot automated-driving function save more lives, more quickly, by hastening the day it can drive at least 10 times more safely than a human. "We get there faster if we have dedicated AI hardware," he said.
From selfies to satellites, cameras are an integral part of life. They increasingly watch over our homes and streets, and keep businesses secure inside and out. But many factors -- rain, smog, poor lighting, etc. -- can reduce the quality of images. And from identifying a thief to checking on your baby via a monitor, these factors can impair the decisions people make based on camera footage. NVIDIA Inception partner Brighter AI is focused on a fix.
Police in the US state of Delaware are poised to deploy'smart' cameras in cruisers to help authorities detect a vehicle carrying a fugitive, missing child or straying senior. The video feeds will be analyzed using artificial intelligence to identify vehicles by license plate or other features and'give an extra set of eyes' to officers on patrol, says David Hinojosa of Coban Technologies, the company providing the equipment. 'We are helping officers keep their focus on their jobs,' said Hinojosa, who touts the new technology as a'dashcam on steroids.' The program is part of a growing trend to use vision-based AI to thwart crime and improve public safety, a trend which has stirred concerns among privacy and civil liberties activists who fear the technology could lead to secret'profiling' and misuse of data. US-based startup Deep Science is using the same technology to help retail stores detect in real time if an armed robbery is in progress, by identifying guns or masked assailants.
Video is the world's largest generator of data, created every day by over 500 million cameras worldwide. That number is slated to double by 2020. The potential there, if we could actually analyze the data, is off the charts. It's data from government property and public transit, commercial buildings, roadways, traffic stops, retail locations, and more. The result would be what NVIDIA calls AI Cities, a thinking robot, with billions of eyes trained on residents and programmed to help keep people safe.
AI has become a hot topic among tech corporations, startups, investors, the media, and the public. That's only because machine learning platforms have already been doing hard work for years now. Last month, NVIDIA announced the addition of Huawei and Alibaba as adopters of its system "Metropolis", an AI-platform for smart cities. More than 50 organizations are already using Metropolis and, by 2020, according to NVIDIA, there will be 1 billion video cameras worldwide that could be connected to AI platforms to make cities smarter. When connected to AI, cameras can be used to recognize shapes, faces and even the emotions of individuals, which has varied applications: autonomous cars, video surveillance (traffic flow, crime monitoring), and consumer behavior analysis (reaction to ads for example).
Nvidia has gone ahead with open sourcing the design of one of its AI chips designed to power deep learning. And, by releasing its chip design to open source, Nvidia wants AI chip makers to help bridge this gap. With other chip manufacturers using its chip design technology, Nvidia plans to augment sale of its other hardware and software. The chip module, known as Deep Learning Accelerator (DLA), for which Nvidia has released the design to open source is used for autonomous vehicles and associated technologies.
Blue River Technology, a Silicon Valley startup acquired for $305 million last month by Deere & Co., is using computer vision powered by Nvidia Corp. to help lettuce farmers boost productivity and reduce or reallocate labor costs. Willy Pell, who oversees new technology at Blue River, believes machines outfitted to perceive the world and act on what they sense without human intervention will drive the next wave of Silicon Valley investment. Machines outfitted with camera eyes and silicon brains soon will be able to take over "all kinds of repetitive tasks." Deepu Talla, Nvidia's vice president in charge of AI for applications such as robotics and drones, believes both local and remote processing will be necessary.
Then researchers found its graphics chips were also good at powering deep learning, the software technique behind recent enthusiasm for artificial intelligence. Longtime chip kingpin Intel and a stampede of startups are building and offering chips to power smart machines. This week the company released as open source the designs to a chip module it made to power deep learning in cars, robots, and smaller connected devices such as cameras. In a tweet this week, one Intel engineer called Nvidia's open source tactic a "devastating blow" to startups working on deep learning chips.