So, you’ve hunkered down and finally completed that online course on machine learning. It took weeks. Now, you have all sorts of ideas running through your mind on developing your own intelligent code and neural networks.

Valve today announced an expansion of its game-streaming app Steam Link, now named Steam Link Anywhere (via The Verge). The original Steam Link app let users stream PC games on Steam to a mobile device within their home, but Steam Link Anywhere lets users stream games from their PC to any compatible device with internet service, excluding Apple devices. Apple rejected the original Steam Link app due to "business conflicts," while the app went on to see a release on Android.

In recent years, advances in AI have produced algorithms for everything from image recognition to instantaneous translation. But when it comes to applying these advances in the real world, we’re only just getting started. A new product from Nvidia announced today at GTC — a $99 AI computer called the Jetson Nano — should help speed that process.

Experts weigh in on what software developers in the high-performance computing community should focus on, including accelerators, parallelism, and of course, the cloud.

Artificial intelligence (AI) is trending globally in commerce, science, health care, geopolitics, and more. Deep learning, a subset of machine learning, is the lever that launched the worldwide rush—an area of strategic interest for researchers, scientists, visionary CEOs, academics, geopolitical think tanks, pioneering entrepreneurs, astute venture capitalists, strategy consultants, and management executives from companies of all sizes. Yet in the midst of this AI renaissance is a relatively fundamental yet unsolvable problem with machine learning that is not commonly known...

This wikiHow teaches you how to remove a contact from your Gmail account using a computer, phone, or tablet. Go to https://contacts.google.com in a web browser. If you're already signed in to your Gmail account, a list of your contacts...

One of the big limiters to today’s quantum computing systems is that while their superconducting qubits live in a cryogenic enclosure at less than 1 kelvin, all the control and readout circuits must be at room temperature. For today’s sub-100-qubit systems, there’s enough space for specialized RF cabling to come in and out of the enclosure. But to scale up to the million-qubit systems needed to do really cool stuff, there just won’t be enough room.

USB 3.2 is still in the process of being rolled out, but its successor has already been announced. USB4 is the next generation of USB technology, now with data transfer speeds double its predecessor. The new standard comes with support from Intel's Thunderbolt protocol.

Quantum computers are just weird, with data processed by qubits that can store ones and zeros at the same time. But they're like regular "classical" computers in one obvious way: Their designers want them to run faster. Now, with machines like its Q System One, IBM has not only proposed a convenient single number to calibrate a speedometer but also laid out an ambitious dotted line stretching across a road map into the future.

Inside a 25,000 square foot room within Argonne National Laboratory one of the most formidable supercomputers in the world — Theta — is applying its incredible computing power to the largest batch of data ever recorded or analyzed. It’s information that researchers hope might one day contribute to our understanding of intelligence itself.

A new artificial intelligence system is so good at composing text that the researchers behind it said they won't release it for fear of how it could be misused. Created by nonprofit AI research company OpenAI (whose backers include Tesla CEO Elon Musk and Microsoft), the text-generating system can write page-long responses to prompts, mimicking everything from fantasy prose to fake celebrity news stories and homework assignments. It builds on an earlier text-generating system the company released last year.

NVIDIA launched its latest consumer-class GPU targeted at mainstream PC gamers this past Friday, the GeForce GTX 1660 Ti. Although this new card carries a GeForce GTX moniker like its Pascal-based predecessors, it is actually based on NVIDIA’s bleeding-edge Turing architecture, which is also the foundation of the GeForce RTX 2000 series – with some major caveats.

Several reports have suggested that the iPhone won’t feature support for true 5G until 2020, and now Intel itself has addressed those concerns. As reported by Reuters, Intel executives have said they don’t expect 5G modem chips to be ready for consumer phones until 2020. Sandra Rivera, head of Intel’s networking chip business, said at an event this week that 5G modems won’t appear in consumer “products in the market” until 2020. This suggests that while Intel might have the technology ready at some point this year, it won’t be early enough for its 5G modems to appear in 2019 phones.

Machines are becoming more collaborative, both with humans and one another. Soon, we may have self-driving cars that negotiate rights-of-way and robots to assist nurses with home care. But first, they’ll need to learn to communicate, and not just through spoken language. Humans say a lot with their actions. Tapping the brakes both slows you and signals potential trouble ahead. Crossing your arms both protects you and signals reticence.

There are some long-time MacBook users out there that are starting to feel like Apple has lost the spark that once brought the company out of its dark ages. There have been a number of new MacBook Pro models in recent years, and other devices, that have been releasing faster than our bank accounts can keep up. And, while some of these upgrades have resulted in improved devices – looking at you, Mac mini – some of these updates have fallen flat.

Hardkernel failed to deliver the $100 Rockchip RK3399-based Odroid-N1 developer board last year due to component shortages. But it's now back with a successor, the Odroid-N2, which is cheaper and performs significantly better in benchmarking tests. The Odroid-N2 won't be as cheap as the $35 Raspberry Pi, but it's also intended for a different market that's willing to pay for some extra memory, more ports, and a faster processor.

$35. That's all it takes to get your hands on one of these programmable mini-computers that can be used for both fun and practical applications. Do you own one or more? What do you use it/them for?

We are building a 1-to-1 map of almost unimaginable scope. When it's complete, our physical reality will merge with the digital universe.

THE US LEADS the world in artificial intelligence technology. Decades of federal research funding, industrial and academic research, and streams of foreign talent have put America at the forefront of the current AI boom. Yet as AI aspirations have sprouted around the globe, the US government has lacked a high-level strategy to guide American investment and prepare for the technology’s effects.

Artificial intelligence (AI) systems’ rapid advances are continually crossing rows off the list of things humans do better than our computer compatriots. AI has bested us at board games like chess and Go, and set astronomically high scores in classic computer games like Ms. Pacman. More complex games form part of AI’s next frontier.