DeepMind, an artificial intelligence firm that was acquired by Google in 2014 and is now under the Alphabet umbrella, has developed a computer than can refer to its own memory to learn facts and use that knowledge to answer questions. DeepMind says its new AI model, called a differentiable neural computer (DNC), can be fed with things like a family tree and a map of the London Underground network, and can answer complex questions about the relationships between items in those data structures. For example, you could get responses to questions like, "Starting at Bond street, and taking the Central line in a direction one stop, the Circle line in a direction for four stops, and the Jubilee line in a direction for two stops, at what stop do you wind up?" It's these networks that helped DeepMind's AlphaGo AI defeat world champions at the complex game of Go.

People have been dreaming of ways to hand off their more mundane work to machines for centuries. Advertisers in the 1930s spoke of "labor-saving devices" such as the toaster and electric kettle, and economists began to envision utopias in which machines wouldfree us from laborso we could follow our own creative pursuits. That's not as sci-fi as it sounds. Artificial intelligence has already proven effective atautomating repetitive tasks that salespeople, HR specialists, and small business owners used to spend hours each week on. Artificial intelligence allows people to spend those hours on the more thoughtful and creative aspects of their jobs.

This past May, China announced its AI roadmap for the next three years: The National Development and Reform Commission expects their artificial intelligence sector will give them a market worth topping 100 billion yuan (that's 15.26 billion) within that time period. Where is China's AI sector at now, and what steps could plausibly deliver that strong a return by 2019? Tech.Co had a chat with Luke Tang, General Manager of global entrepreneurship company TechCode, who drew on his experience working with AI companies worldwide to detail China's unique opportunities. Here are the biggest takeaways on AI in China. "China has already got a great start in both research and business applications in AI -- right behind the U.S. […] On the research side, the White House recently published a report showing that China has now surpassed the U.S. in total papers and citations published in Deep Learning or Neural Network, a crucial area in AI, but overall both the U.S. and China are way ahead of other countries. In fact, author's names with Chinese-origin represent about 50 percent of the articles published yearly in Deep Learning. Of course, there are other keywords one can use to search, e.g. computer vision, autonomous cars, natural language processing, etc. but it's very clear that the two leading countries in AI research are U.S. and China. This is actually very surprising to me, since China is not usually very strong in other fundamental sciences or computer science areas."

San Mateo-based Movidius may still be in the process of getting bought up by Intel, but the company's latest deal will put its low-power AI and computer vision platform into more than just DJI drones and Google VR headsets. The company announced today that the Movidius Myriad 2 Video Processing Unit (VPU) will soon power a new generation of Hikvision smart surveillance cameras capable of recognizing everything from suspicious packages to distracted drivers. While most deep-learning neural networks require a lot of cloud-based processing power, the same platform found in Movidius' Fathom AI-on-a-stick will allow Hikvision cameras to do more on-board processing. Hikvision's cameras have already been able to achieve around 99 percent accuracy in scenarios like identifying car models, detecting intruders, spotting suspicious baggage and even calling out drivers who don't buckle up. The Myriad 2 VPU basically puts all these capabilities in the camera itself, allowing it to instantly process everything it sees while reducing false alarms at the same time.

AUSTIN, Texas -- The race is on in Formula One. Not just to the checkered flag, but to see which team can marshall the best technology. In its 70th year, the preeminent auto-racing circuit has become a tech arms race. At the U.S. Grand Prix here this past weekend, the Internet of Things, big data, virtual reality, machine learning, 3-D printing, flash storage, predictive analytics and design play integral roles in the success (or failure) of the 22 drivers that compete in 21 races globally each year. The slightest advancement, or tweak, can mean the difference between first place and 10th place -- often the difference of one second.

For more information on what makes Intel Capital one of the world's most powerful venture capital firms, visit www.intelcapital.com or follow @Intelcapital. About Deutsche Telekom Capital Partners (DTCP) Deutsche Telekom Capital Partners (DTCP) is Deutsche Telekom's investment management group. With approximately 2 billion under management and advisory, and a portfolio of over 70 companies, DTCP provides venture capital, private equity, and strategic advisory services to the technology, media and telecommunication sectors. Operating as a bridge between Europe, Silicon Valley and Israel, the company connects people, capital, and ideas to accelerate innovation and provide value to its portfolio companies, its limited partners, and the connected world.

Multi-billion dollar startup Magic Leap, which is building a cutting-edge augmented reality headset, is currently in a legal battle with the engineer who started its first Silicon Valley office. Court filings reveal new secrets about the company, including a west coast software team in disarray, insufficient hardware for testing, and a secret skunkworks team devoted to getting patents and designing new prototypes -- before its first product has even hit the market. The company believes that Adrian Kaehler and Gary Bradski, two VPs at Magic Leap, tried to rip off its technology and talent to start a new robotics startup. Kaehler and Bradski, who sued the company for wrongful termination earlier this year, say that Magic Leap unfairly robbed them of their shares in Magic Leap and broke their employment contracts. Magic Leap countered by suing the pair for misappropriation of trade secrets.

From there, it won't be long before we begin to wonder how we ever lived without artificially intelligent financial advisors implementing our own personal monetary policy. U.S. financial literacy levels are unacceptably low, and the widespread availability of artificially intelligent money-management tools won't change that. By enabling us to make simple, direct decisions while taking care of the rest, artificially intelligent financial advisors will decrease the prevalence of consumer mistakes and prompt improvement in our overall financial health.I'm actually a perfect example of this point. And while this figures to make things physically easier, the process still won't be simple.

The federal government recently released guidance that will hasten the roll out of self-driving cars on American roads. The roads will not be filled with driverless cars tomorrow, but these smart, efficient vehicles are already operating in some cities and they will become widespread more quickly than most drivers think. Automakers and technology companies are making significant strides towards the connected car future. New sensor and autonomous technologies are being announced weekly, and the Administration has made commitments to support these developments and accelerate their roll out. Sensor and autonomous technologies can transform automotive safety and convenience for preexisting American drivers, but they can do more; they can increase mobility for the elderly and Americans with disabilities who may be constrained from driving altogether. As most people take having transportation options as a given, people with disabilities and the elderly may benefit most from these new developments.

After releasing its popular new Pixel smartphone and seeing its shares of shares him more than 800 this month, Google parent company Alphabet Inc. (GOOGL) is expected to reveal steady growth in its third quarter earnings on Thursday. Investors surveyed by FactSet expected the company's C class (GOOG) earnings per share (EPS) to grow slightly to 8.63 from 8.42 in the second quarter and 7.35 for the third quarter of 2015. Citing growth in YouTube's popularity and mobile use of its search engine, Alphabet beat analysts' expectations with its second quarter earnings release in July, with C class earnings per share (EPS) of 8.42 on revenues of 21.5 billion over forecasts 8.04 per share on 20.76 billion. "Video is a huge component of digital content, and YouTube continues to shine," Alphabet Chief Executive Officer Sundar Pichai said during a conference call following the July earnings report. Pinchai pointed to last quarter's growth in the Android operating system. "Android is thriving," Pinchai said, adding that the past year saw 65 billion app installments.