LAS VEGAS, NV--(Marketwired - Jan 4, 2017) - CES -- NVIDIA (NASDAQ: NVDA) today unveiled the new NVIDIA SHIELD TV -- an Android open-platform media streamer built on bleeding-edge visual computing technology that delivers unmatched experiences in streaming, gaming and AI. Sporting a sleek, new design and now shipping with both a remote and a game controller, SHIELD provides the best, most complete entertainment experience in the living room. "NVIDIA's rich heritage in visual computing and deep learning has enabled us to create this revolutionary device," said Jen-Hsun Huang, founder and chief executive officer of NVIDIA, who revealed SHIELD during his opening keynote address at CES. "SHIELD TV is the world's most advanced streamer. Its brilliant 4K HDR quality, hallmark NVIDIA gaming performance and broad access to media content will bring families hours of joy. And with SHIELD's new AI home capability, we can control and interact with content through the magic of artificial intelligence from anywhere in the house," he said.
The most interesting thing about Huawei's latest flagship, the Mate 9, is actually invisible to the naked eye. Under the hood, the phone uses machine learning to anticipate which apps you're going to use when, allowing for supposedly smoother performance. What the phone would have been like without this AI, we don't know, but we can say that the performance feels brisk throughout. If fluid day-to-day use seems like table stakes, you might also be impressed with the long battery life, bright display and the fact that it actually has a headphone jack. Unfortunately, what's otherwise a great phone stumbles with low-light photography, as well as some heavy-handed software tweaks that will turn off Android purists.
Updated 11th November 2016 with the latest artificial intelligence (AI) software from Sentient to undertake complex multivariate testing. A/B and multivariate testing tools are essential for digital marketers as they enable you to deliver and measure the relative performance of different user experiences through robust online controlled experiments. Increasingly they also allow you to personalise your customer experience and allow you to discover new customer segments based upon behaviour rather than just demographics. A/B testing allows you to run an online controlled experiment to measure the difference in performance between an existing webpage (e.g. A/B testing tools randomly select visitors for each design and uses robust statistical analysis to measure the performance between the control and the variant.
AI for recruiting is on everyone's mind these days with a lot of talk on how it's going to transform recruiting. Artificial intelligence for recruiting is the next generation of software designed to improve or automate some part of the recruiting workflow. The improving economy: The recent economic gains have created a candidate-driven market that's made competing for talent tougher than ever. This competition will only continue to increase – 56% talent acquisition leaders surveyed by LinkedIn believe their hiring volume will grow in 2017. The need for better technology: Although hiring is predicted to increase, 66% of talent acquisition leaders state their recruiting teams will stay the same size or even shrink.
We are in the midst of a great evolution when it comes to website design. Formerly text-heavy sites now rely on eye-catching images and video to draw in visitors, improve engagement rates and drive readership. Articles with relevant images get 94 percent more total views, according to digital marketing expert Jeff Bullas. And images are vital to websites influencing page views and user engagement for news articles, press material, local search, eCommerce, and social media. The addition of rich media is not the only factor impacting web design today.
As an example, mobile network operators are increasing their investment in big data analytics and machine learning technologies as they transform into digital application developers and cognitive service providers. With a long history of handling huge datasets, and with their path now led by the IT ecosystem, mobile operators will devote more than $50 billion to big data analytics and machine learning technologies through 2021, according to the latest global market study by ABI Research. Machine learning can deliver benefits across telecom provider operations with financially-oriented applications - including fraud mitigation and revenue assurance - which currently make the most compelling use cases. Predictive machine learning applications for network performance optimization and real-time management will introduce more automation and efficient resource utilization.
Mobile internet applications are evolving rapidly. Cognitive computing technologies will inspire telecom service providers to profoundly change their business model in new creative ways. Deploying intelligent voice control apps on smartphones was just the beginning of this trend. As an example, mobile network operators are increasing their investment in big data analytics and machine learning technologies as they transform into digital application developers and cognitive service providers. With a long history of handling huge datasets, and with their path now led by the IT ecosystem, mobile operators will devote more than $50 billion to big data analytics and machine learning technologies through 2021, according to the latest global market study by ABI Research.
While you were weekending, you might have missed Roku's cheap, entry-level video streamer, our first 24 hours with Olympus' intriguing new camera and Samsung's attempts to hype up its next smartphone way in advance. What's going on this week? Well, there's a certain election happening on Tuesday... The time is now for cheap set-top boxesReview: Roku's new $30 player is more intriguing than its high-end siblings The Roku Express is a streaming marvel thanks to its low price. If you can live with some speed issues, it's perfect for bringing streaming video to screens all over your house -- and could well be your first set-top box.
Tuning inside the brain is the difference between normal and super smart people, researchers have found. They say general cognitive ability may be the result of a'well-tuned brain network' - and may even be able to develop to tune up the mind of those less intelligent. They found the brains of those with higher intelligence were extremely similar at rest and while carrying out tasks. Researchers say general cognitive ability may be the result of a'well-tuned brain network' - and say they may even be able to develop a way to tune up the mind of those less intelligent. 'Specifically, we found that brain network configuration at rest was already closer to a wide variety of task configurations in intelligent individuals,' the Rutgers University team wrote in The Journal of Neuroscience.
I got my double espresso, going to my office to check on my emails, messages, new data charts on my screen walls, remote and close friends pics, and bills to pay... Happy to see you again. What would you like to do today? Taras: You know: pay the bills, scan the news, check on new friends and past foes pics, my investments, finish my double espresso, take Buddy for a run. Then see what wify and kids want to do for the rest of the day when they wake up. Cortana: I took care of the phones, gas, electrical, internet and all the entertainment bills last night.