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) …
Nvidia, which will chip in $30,000 toward your student loans, tops the Just 100 list on worker treatment. Since there's not an endless supply of workers versed in artificial intelligence, Nvidia pulls out all the stops to attract and keep the cream of the crop. When a worker was displaced by the California wildfires, the chipmaker's emergency response team snapped into action, offering a $5,000 stipend to cover a hotel stay and to replace belongings. Nearly two thirds of employees have visited Nvidia's nearby health clinic, where appointments for new glasses or physical therapy can be scheduled with as little as 15 minutes notice and a free Lyft ride waits to shuttle you. Free genetic testing (sticker price: $7,000) has led 85 employees to discover a hereditary risk for cancer; four have begun treatment.
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.
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.
The latest proprietary Power servers from IBM, armed by the long-awaited IBM Power9 processors, look for relevance among next-generation enterprise workloads, but the company will need some help from its friends to take on its biggest market challenger. IBM emphasizes increased speed and bandwidth with its AC922 Power Systems to better take on high-performance computing tasks, such as building models for AI and machine learning training. The company said it plans to pursue mainstream commercial applications, such as building supply chains and medical diagnostics, but those broader-based opportunities may take longer to materialize. "Most big enterprises are doing research and development on machine learning, with some even deploying such projects in niche areas," said Patrick Moorhead, president and principal analyst at Moor Insights & Strategy. "But it will be 12 to 18 months before enterprises can even start driving serious volume in that space."
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.
NEW DELHI: Bennett University"s computer science and engineering (CSE) department held its first international conference on machine learning and data science at its Greater Noida campus that saw researchers and academicians deliberating on the new wave of technologies and their impact on the world of big data, machine learning and artificial intelligence (AI). The two-day conference was organised by the department in association with the Institute of Electrical and Electronics Engineers (IEEE) Computer Society. Bennett University has been set up by the Times Group, which publishes ET. "We are pleased to be in India to establish a relationship with all the major universities including Bennett University, so that we can develop and nurture the relationship such that India becomes a very important player in the computer society," said Roger Fujii, 2016 president of the society. The event saw attendance from 50 organisations including IBM, Nvidia, Tata Consultancy Services, Wipro, Accenture, Dell and Infosys, among others. Also attending were about 400 participants representing premier institutions such as the Indian Institutes of Technology, National Institutes of Technology, Indian Institutes of Management, Jawaharlal Nehru University, Delhi Technological University, University of Delhi, Kalinga Institute of Industrial Technology and Malaviya National Institute of Technology, Jaipur.
GPU-accelerated analytics applications are now available in the NVIDIA DGX container registry and NVIDIA GPU Cloud (NGC). These applications provide customers the ability to abstract insights in milliseconds, build models with transparency and accuracy, and eliminate any integration complexity. They are tested and deployed on DGX systems and supported NGC platforms and are available for customers immediately. MapD is a GPU-accelerated platform with an open-source SQL engine called MapD Core and an integrated visualization system called MapD Immerse. Customers considering purchasing a license can access the software for a free trial on Amazon Web Services or as part of the NVIDIA registry on DGX and NGC.
It seems like Nvidia announces the fastest GPU in history multiple times a year, and that's exactly what's happened again today; the Titan V is "the most powerful PC GPU ever created," in Nvidia's words. It represents a more significant leap than most products that have made that claim, however, as it's the first consumer-grade GPU based around Nvidia's new Volta architecture. That said, a liberal definition of the word "consumer" is in order here -- the Titan V sells for $2,999 and is focused around AI and scientific simulation processing. Nvidia claims up to 110 teraflops of performance from its 21.1 billion transistors, with 12GB of HBM2 memory, 5120 CUDA cores, and 640 "tensor cores" that are said to offer up to 9 times the deep-learning performance of its predecessor. Also it comes in gold and black, which looks pretty cool.
Artificial Intelligence is transforming the landscape of human evolution, with one of the biggest landmarks for the technology being the declaration of an AI robot - Sophia - as a "national citizen" of the Kingdom of Saudi Arabia. Despite the fact that the earliest footprints of Artificial Intelligence can be traced back to 1956, its impact had been behind the curtains, until recently. During the last decade, AI has sparked polar reactions from observers, with some crowning it as the "face of the future", while others demarking it as the "beginning of the end". Elon Musk, the CEO of Tesla Motors, went as far as saying that AI would largely be attributable for the outburst of World War-III. On the other side of the fence, however, we have the likes of Mark Zuckerberg and Bill Gates, who could not have expressed more hope and faith in the revelation.
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.