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.

Researchers at University College London, the University of Pennsylvania and the University of Sheffield created an artificially intelligent software program that ruled on a set of 584 cases previously brought before the European Court of Human Rights, just like a judge. In nearly 80 percent of cases focused on torture and degrading treatment, fair trials and privacy, the software came up with the same verdict as its human counterparts. Don't worry, this isn't a face you're likely to see in a courtroom. "This can be useful, for both lawyers and judges, as an assisting tool to rapidly identify cases and extract patterns which lead to certain decisions," the study's authors wrote. The AI software showed justices on the European Court of Human Rights were often "realists" who based their decisions more on the facts of individual cases than they do on "legal reasons and arguments" presented to them.

Data scientists and data engineers, choose their own tools or flavor, work on their own. Learn how Data Science Experience can make data science a team sport, bringing data scientists and data engineers together to make data science and machine learning available to everyone. Presenter: Juergen Schaeck - IBM 2. Telco data stream simulation, processing and visualization Koen will discuss the development of a prototype for processing of data coming from cell towers, executed for a telco operator in the Middle East. The added difficulty was that the customer could not provide real data.In the end he developed a data generator in Scala/Akka, a data processor with Spark Streaming, and a visualization front-end with Node.js. Presenter: Koen Dejonghe - Eurocontrol 3. Hyperparameter Optimization - when scikit-learn meets PySpark Spark is not only useful, when you have big data problems.

The vision of self-driving vehicles grows closer to fruition - but how are automotive companies addressing the deep and thorny technical issues that stand between concept and mass production? A major area of focus is that of using Artificial Intelligence (AI), to mimic and implement human reaction. This IHS Markit whitepaper provides an expert view into advancements in a key sector of AI - "Deep Learning" - that shows great promise and hosts a number of innovative initiatives in the automotive community. To receive your copy of this complimentary whitepaper on artificial intelligence in automotives, fill in the form below.