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Is AI a culture?

#artificialintelligence

If culture is a set of beliefs and behaviors that people pass from one generation to another, then is artificial intelligence becoming one? AI is certainly changing how people think about and interact with technology. Talking to your phone and expecting an intelligent response has quickly shifted from novelty to routine expectation. Self-driving vehicles orienting themselves in the physical world will soon shuttle us all over, changing how millions of commute hours are spent and our relationship with cars themselves. Inherent in AI is a capacity to learn, and to use this knowledge to advance the tasks it's been assigned to tackle.


Musk Says Tesla Is Building Its Own Chip for Autopilot

#artificialintelligence

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.


AI Defining Transportation's Future at GTC Japan NVIDIA Blog

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Whether they drive themselves or improve the safety of their driver, tomorrow's vehicles will be defined by software. However, it won't be written by developers but by processing data. To prepare for that future, the transportation industry is integrating AI car computers into cars, trucks and shuttles and training them using deep learning in the data center. A benefit of such a software-defined system is that it's capable of handling a wide range of automated driving -- from Level 2 to Level 5. Speaking in Tokyo at the last stop on NVIDIA's seven-city GPU Technology Conference world tour, NVIDIA founder and CEO Jensen Huang demonstrated how the NVIDIA DRIVE platform provides this scalable architecture for autonomous driving. "The future is surely a software defined car," said Huang.


"I Am AI" docuseries spotlights innovators' groundbreaking achievements NVIDIA Blog

#artificialintelligence

Medical devices that monitor and respond to changes in our health. Robotic assistants that know what we want before we do. Kitchens that help us with our shopping and plan our meals. Every day, we hear about how artificial intelligence is going to change the world. Amid all this focus on the future, it's easy to ignore an unavoidable truth: AI is already changing the world in significant ways.


Nvidia partners with Japan's Komatsu to make construction safer with AI

#artificialintelligence

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.


If You're Worried About Artificial Intelligence Taking over the World, You Should Watch this …

#artificialintelligence

If fully automated vehicles become a reality someday – and it seems like we're moving in that direction at a fast clip – artificial intelligence will play an instrumental role. That's why Ford is pouring $1 billion into a Pittsburgh-based artificial-intelligence (AI) startup called Argo AI. And Toyota is collaborating with one of the biggest AI players – Nvidia – to develop AI hardware and software. The thinking is that AI has the power to recognize and react to the nearly infinite number of scenarios encountered on the road, because it has the capability to interpret the massive amount of data generated by the sensors and cameras in a vehicle – and make intelligent decisions based on that data. Nvidia says its Nvidia Drive PX platform can use AI to understand the 360-degree environment surrounding the car, localize itself on an HD map and anticipate potential hazards while driving – in a device that can fit in your hand.


NVIDIA Researchers Showcase Major Advances in Deep Learning at NIPS NVIDIA Blog

@machinelearnbot

AI has become part of the public consciousness. Researchers and data scientists have been sharing their groundbreaking work -- at what is officially known as the Conference and Workshop on Neural Information Processing Systems -- for three decades. But it's only with the recent explosion of interest in deep learning that NIPS has really taken off. We had two papers accepted to the conference this year, and contributed to two others. The researchers involved are among the 120 people on the NVIDIA Research team focused on pushing the boundaries of technology in machine learning, computer vision, self-driving cars, robotics, graphics, computer architecture, programming system, and other areas.


Nvidia's hugely powerful $3,000 Titan V PC GPU is the fastest ever

#artificialintelligence

Looking for a way to turn your home computer into a deep-learning AI super-monster? Nvidia has an expensive answer. The new Titan V GPU promises a crazy amount of processing for deep learning and AI applications. It's nine times more powerful -- at 110 teraflops -- than last year's Titan X, Nvidia's last massive desktop graphics processor aimed at machine learning applications. The Titan V is based on Nvidia's newer Volta chip architecture, which is also being used in Nvidia's Xavier self-driving car system and for data centers.


Elon Musk Says Tesla Is Building Its Own Chip for Autopilot

WIRED

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.


Elon Musk confirms Tesla will use its own self-driving AI chips

Mashable

Tesla is taking its self-driving future into its own hands, which Elon Musk thinks will help usher the company into an era of fully autonomous vehicles in just two years. Musk confirmed the company has a team hard at work developing its own AI chips, which future Teslas will depend on in place of the Nvidia units currently used in the automaker's all-electric vehicles. Musk dropped the news at a private company party in Long Beach, according to CNBC. The team is being headed by Jim Keller, a former AMD and Apple chip architect who helped to design the iPhone maker's A4 and A5 processors. A Keller-led Tesla chip project was rumored back in September, but reports then claimed the automaker was working closely with chipmaker AMD to test the tech, which both companies denied.