Sentences with phrase «fast learning machine»

Not exact matches

The keyboard could adapt, using machine learning, to our typing style and help us type faster.

This, in turn, makes it easier to build machine - learning and artificial - intelligence apps, which require computers to chomp through large amounts of data very fast in order to make decisions.

With the onset of machine learning and tighter competition than ever before, we're already seeing project management platforms advancing faster than ever.

Still, there's plenty of competition in the race to offer the fastest and most efficient machine learning platform.

Once dependent on video gamers eager for the fastest graphics cards, Nvidia's has lately been benefitting from the use of its GPUs in servers that run artificial intelligence and machine learning programs.

These improvements fall into two categories: improvements in AI, specifically natural language processing (NLP) and machine learning; and gains in computing and telecommunications infrastructure, like more powerful smartphones, better cellular networks, and faster cloud computing.

Chatbots have been around for decades, but because of the recent advancements in artificial intelligence and machine learning, there is a big opportunity for people to create bots that are better, faster, and stronger.

Facebook's new analytics can auto - detect sales funnels using machine learning algorithms across channels, which enables marketers to «identify friction in your marketing and product experience, and uncover opportunities to optimize for conversions faster.»

There you can learn how to fully use your new machine and get you embroidering or sewing faster.

«Quantum algorithm could help AI think faster: Researchers present a quantum speed - up for machine learning.»

«But if you have enough data from CovertBand, you could run it through machine - learning algorithms to help classify more movements for faster identification.»

Proponents say, however, the real beauty of training AI to be creative does not lie in the end product — but rather in the technology's potential to expand on its own machine - learning education, and to solve problems by thinking outside the box far faster and better than humans can.

Are Machine Learning Computer Scientists better than human scientists given that they can look at much more data and analyze it faster than any human scientist ever could?

While these were all the details revealed during the initial project announcement, we've now learned more about the stupidly fast machine courtesy of Red Bull Racing's chief technical officer, Adrian Newey.

With the explosion of deep learning and machine learning technology, a fast 5G connection to these services will make Mixed Reality glasses something you never want to leave the house without.

You can learn how to make your grind more efficient, but you can also dump more money into more slot machines and you'll hit a jackpot faster too.

He was an optical engineer who repaired aircraft instruments in Alaska in WWII, a mountain man who could turn a canoe into a sailboat with a folding machete, bed sheets and a few sticks, who taught me diffraction, color theory and relativity on paper when other kids were learning multiplication tables, who designed a potentiometer that went to the Moon by pointing the world's fastest camera at the world's fastest oscilloscope, who designed those traffic lights which only appear bright when you are in the appropriate lane, who didn't have to help me at all when I built my own Heathkit dual - channel scope in grade school, nor had to help me program my Apple II in machine language, who quit Honeywell to work for 3M when the Space Program turned into the nuclear missile program, who studied mining geology in college after growing up in a mining town in Utah, it was he who taught me, early on: make sure your contraption works!

TagDox makes Document Analysis easy, precise and fast by optimizing the process through cutting edge machine learning and Artificial Intelligence.

DISCO said that because of its native cloud technology it had the advantage of massive GPU compute - on - demand capabilities to power the latest machine learning technologies and algorithms, such as Google's Word2Vec and a series of Convolutional Neural Networks (CNNs), to deliver higher levels of classification accuracy «[that are] faster than ever previously seen in the legal space», it claimed.

Diligen's software is built on machine learning to help lawyers review contracts faster, find relevant provisions and produce contract summaries — instantly.

In the legal industry, one of the fastest growing use cases for AI is using machine learning to help lawyers review and summarize contracts.

Both the software's capabilities and the machine's processing power will continuously improve, allowing AI systems to learn more, and faster, than you ever dreamed possible.

Howard is the founder and CEO of Enlitic a medical company that «uses recent advances in machine learning to make medical diagnostics faster, more accurate, and more accessible.»

Designed for fast moving applications in investigations, e-discovery, information governance, national intelligence, and beyond, CMML makes machine learning a natural part of searching for just the key information.

«What machines give you is the option to get access to more and more data faster and cheaper — that's the real core of it,» explains David Holme, chief executive officer and founder of Exigent Group Limited, a global provider of legal process outsourcing services that leverage machine learning technology for discovery and contract processing.

So in an effort to fetch faster machine learning technology, Google built Tensor Chip.

The software will allow faster machine learning as it will place more processing speed on procedures, which involves analysis of big data, voice recognition, and photo identification.

Apple needs to beef up Siri's capabilities fast and has hired Google's head of search and artificial intelligence (AI) to get the job done.Scot John Giannandrea will run Apple's «machine learning and AI strategy» according to a report in the... Read more

The GPU is 30 % faster, which is best seen in machine learning and gaming apps.

AI and Machine Learning were the buzzwords of 2017's I / O conference, where Google demoed a mobile version of its TensorFlow neural network, which will let an AI engine run on your phone to make AI apps smarter, faster, and more secure.

The HUAWEI Mate 9 Series debuts the premium Kirin 960 chipset with HUAWEI's Machine Learning Algorithm to deliver a fast and smooth experience, even after 18 months of continuous usage.

Huawei reckons that predictive machine learning helps apps to open»20 per cent faster», whatever that means.

There's a new Apple - designed 3 - core GPU that's 30 percent faster than the previous - generation GPU, and two of the cores, the Neural Engine, make machine learning tasks faster than ever.

While the video doesn't show the hardware, each video title gives us some indication of its capabilities — including great low - light performance, optical image stabilization, fast shutter speed, and machine learning enhancements.

This new TPU chip effectively makes building AI on Google's platform incredibly fast and efficient, more so than with hardware and machine learning platforms used by competitors.

To make things faster and easier to maintain, Google developed the machine learning systems that automatically compare app behavior and distinguishes those acting abnormally.

The hope here would be to see a more intelligent chipset that uses machine learning to allow the S10 to perform much faster and smarter than the S9.

The Visual Core is Google's first system - on - chip designed in - house, and the company says it produces HDR + images five times faster than previous methods while using just one - tenth of the energy, thanks to the wonders of machine learning.

Huawei went a step further, implementing machine - learning programming that, in theory, should keep the Mate 9 feeling fast month after month.

Huawei goes a step further to say that their machine learning algorithm means your phone is fast out of the box and remains fast, even after months of usage.

Thanks to on - device machine learning, Smart Text Selection makes highlighting text faster by automatically grouping words that belong together, while providing suggestions to open URLs, phone numbers, and addresses in the appropriate app.

The chip also makes Google's machine - learning enhanced HDR + run five times faster and at a tenth of energy compared to running these operations on the main application processor.

Fast - forward to today: the influence of machine learning, big data, and the internet of things has permeated our daily lives.

There's no denying the Porsche Design Mate 9 is desirable: it looks great, performs great, has the display we wish the regular Mate 9 had and delivers all the same benefits you'll find on the normal Mate 9, like fast charging, on - board machine learning to keep your phone running faster for longer, dual Leica cameras with 2x lossless zoom, 65 scenarios of accidental touch rejection and 50 % smaller 4K video files.

The Hexagon 685 DSP will allow for faster machine learning and AI features, and is paired with the Aqstic Audio for better recognition of wake words like «Ok, Google.»

Combine these cameras with faster processors and machine - learning algorithms, and it's now possible to create function - specific robots pre-loaded with gesture recognition, knowledge of common navigational challenges and cultural behaviors (not getting onto a crowded elevator, for example) and the ability to routinely update that understanding.

Alongside all of the updates to Google's Machine Learning systems, which make Google Now bigger, faster, and smarter, Android M is going to take things one step further and offer additional «in the moment» features to Google Now.

That's because of the new Kirin 970 CPU, which has a built - in neural processing unit for faster machine learning.

Graphics are 30 % faster over the A10 and its designed for machine learning tasks.

Using on - device machine learning, EMUI 5 monitors resource usage in a bid to ensure the out - of - the - box fast experience continues regardless of how much you've used your phone.