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) …
Previous techniques relied on massive amounts of data and has problems with training the machines to find their own patterns. Researched had a hard time dealing with mapping a low-resolution image to a corresponding high-resolution image and colorization (mapping a gray-scale image to a corresponding color image). Unsupervised image-to-image translation aims at learning a joint distribution of images in different domains by using images from the marginal distributions in individual domains. Since there exists an infinite set of joint distributions that can arrive the given marginal distributions, one could infer nothing about the joint distribution from the marginal distributions without additional assumptions. To address the problem, we make a shared-latent space assumption and propose an unsupervised image-to-image translation framework based on Coupled GANs.
This is a graphics card created for the PC. VentureBeat's Blair Frank said "The new Titan V card will provide customers with a Nvidia Volta chip that they can plug into a desktop computer." Thursday marked its debut, positioned as "the world's most powerful GPU for the PC." CEO Jensen Huang did the introduction. The announcement took place at the annual AI gathering, the NIPS (Neural Information Processing Systems) conference. It can carry massive amounts of power and speed AI computation.
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.
Nvidia launched a new desktop GPU today that's designed to bring massive amounts of power to people who are working on machine learning applications. The new Titan V card will provide customers with a Nvidia Volta chip that they can plug into a desktop computer. According to a press release, the Titan V promises increased performance over its predecessor, the Pascal-based Titan X, while maintaining the same power requirements. The Titan V sports 110 teraflops of raw computing capability, which is 9X that of its predecessor. It's a chip that's meant for machine learning researchers, developers, and data scientists who want to be able to build and test machine learning systems on desktop computers.
Nvidia just announced the Titan V, the most powerful graphics processing unit (GPU) of all time. This isn't the type of graphics card your gamer friends all bought on Black Friday, either. This is a graphics card powerful enough for use on research in artificial intelligence and machine learning. SEE ALSO: Nvidia's AI machine generates fake faces from celebrity images The GPU contains 21.1 billion (yes, billion) transistors, and delivers 110 teraflops of horsepower, 9 times that of any other Nvidia processor. For perspective, the Xbox One X delivers only six teraflops, and that was really impressive when it was announced earlier this year.
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.
Seven long months after the next-generation "Volta" graphics architecture debuted in the Tesla V100 for data centers, the Nvidia Titan V finally brings the bleeding-edge tech to PCs in traditional graphics card form. But make no mistake: This golden-clad monster targets data scientists, with a tensor core-laden hardware configuration designed to optimize deep learning tasks. You won't want to buy this $3,000 GPU to play Destiny 2. But that doesn't mean we humble PC gamers can't glean information from Volta's current AI-centric incarnations. Here are five key things you need to know about the Titan V and Nvidia's Volta GPU. Editor's note: This article was originally published on May 11, 2017 but was updated on December 8 to include information from the Titan V.
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.
Nvidia's cutting-edge Volta GPU architecture has finally come to desktops. Late Thursday night, Nvidia launched the monstrous, golden Titan V, a $3,000 graphics card with 12GB of HBM2 memory and over a thousand more CUDA cores than the game-slaying Titan Xp. But this beast isn't made for gaming--though it'd no doubt be very good at it. Instead, Nvidia says this card "transforms the PC into an AI supercomputer." While the still-available Titan Xp was theoretically a compute card but better suited as a best-in-class gaming card, the Titan V doubles down on data crunching.
NVIDIA's newest Titan GPU is now available for purchase, and the company says it's the "world's most powerful GPU for the PC" yet. The GPU-maker has launched the Volta-powered Titan V at the annual Neural Information Processing Systems conference. Volta is NVIDIA's latest microarchitecture designed to double the energy efficiency of its predecessor, and Titan V can apparently deliver 110 teraflops of raw horsepower or around 9 times what the previous Titan is capable of. Since Volta was designed to work on a mixture of computation and calculations and has features created specifically for deep learning, scientists can use the GPU to build their own desktop PCs if they don't need special servers. "Our vision for Volta was to push the outer limits of high performance computing and AI.