Salakhutdinov researches very large neural networks used in a technology called deep learning, which lets a computer learn to perform a difficult task by consuming copious training examples. Speaking recently, Salakhutdinov said that there are three big areas where AI is progressing: giving computers better language understanding; enabling them to learn through repetition and positive reinforcement; and developing ways for machines to learn from unlabeled data. In recent years, competitors such as Google and Facebook have hired leading figures in deep learning to lead their AI efforts. Deep learning has gained prominence in recent years, after proving spectacularly good at enabling machines to recognize objects in images and spoken words in audio.

Vehicles and transportation systems must undergo major security overhaul before connected cars can enter our daily lives. Interest in the concept of connected cars is spreading fast, as recent estimates show by 2020 we will witness 150 million connected cars roaming our streets. Considering the potential impact this development will most definitely have at consumer and corporate levels, many people across the globe are paying close attention to this new state-of-the-art technology. Governments are also demonstrating their commitment to enhancing the development of the autonomous car industry, understanding the positive impact on their economy's future. However, their lies the risk of our governments, and the profit-seeking auto industry to push the limits and in the process neglect the essential security 1-2-3s in their drive for further innovation.

Zürich, Switzerland / Bad Neustadt, Germany - 18 Oct 2016: Today, RHÖN-KLINIKUM AG (RKA), a private hospital group in Germany, has announced, that by the end of the year, it will begin piloting a Watson-powered cognitive assistance system to help support physicians at the group's Centre for Undiagnosed and Rare Diseases located at the University Hospital Marburg. Since it opened in 2013, the renowned Center has been contacted by more than 6,000 patients to visit Prof. Dr. Jürgen Schäfer, a leading expert in rare diseases, who is also known as the "German Dr. House," based on the character of the eponymous American medical television drama. Most of the patients he and his team meets with have year-long medical histories, which include a large amount of unstructured data, such as laboratory tests, clinical reports, drug prescriptions, radiology findings as well as pathology reports. "It's not uncommon for our patients to have thousands of medical documents, leaving us overwhelmed, not only by the large number of patients, but also by the huge amount of data to be reviewed," said Prof. Dr. Jürgen Schäfer, University Hospital Marburg. "This is especially challenging because our work is often like searching for the proverbial needle in the haystack -- even the smallest piece of information could lead to an accurate diagnosis."

Why is it that every time humans develop a really clever computer system in the movies, it seems intent on killing every last one of us at its first opportunity? In Stanley Kubrick's masterpiece, 2001: A Space Odyssey, HAL 9000 starts off as an attentive, if somewhat creepy, custodian of the astronauts aboard the USS Discovery One, before famously turning homicidal and trying to kill them all. In The Matrix, humanity's invention of AI promptly results in human-machine warfare, leading to humans enslaved as a biological source of energy by the machines. In Daniel H. Wilson's book Robopocalypse, computer scientists finally crack the code on the AI problem, only to have their creation develop a sudden and deep dislike for its creators. Is Siri just a few upgrades away from killing you in your sleep? And you're not an especially sentient being yourself if you haven't heard the story of Skynet (see The Terminator, T2, T3, etc.) The simple answer is that -- movies like Wall-E, Short Circuit, and Chappie, notwithstanding -- Hollywood knows that nothing guarantees box office gold quite like an existential threat to all of humanity. Whether that threat is likely in real life or not is decidedly beside the point. How else can one explain the endless march of zombie flicks, not to mention those pesky, shark-infested tornadoes? The reality of AI is nothing like the movies. Siri, Alexa, Watson, Cortana -- these are our HAL 9000s, and none seems even vaguely murderous. The technology has taken leaps and bounds in the last decade, and seems poised to finally match the vision our artists have depicted in film for decades. Is Siri just a few upgrades away from killing you in your sleep, or is Hollywood running away with a tired idea? Looking back at the last decade of AI research helps to paint a clearer picture of a sometimes frightening, sometimes enlightened future. An increasing number of prominent voices are being raised about the real dangers of humanity's continuing work on so-called artificial intelligence.

A group of Microsoft engineers have built an artificial intelligence technique called deep neural networks that will be deployed on Catapult by the end of 2016 to power Bing search results. They say that this AI supercomputer in the cloud will increase the speed and efficiency of Microsoft's data centers and that their will be a noticeable difference obvious to Bing search engine users. They say that this is the "The slow but eventual end of Moore's Law." "Utilizing the FPGA chips, Microsoft engineering (Sitaram Lanka and Derek Chiou) teams can write their algorithms directly onto the hardware they are using, instead of using potentially less efficient software as the middle man," notes Microsoft blogger Allison Linn. "What's more, an FPGA can be reprogrammed at a moment's notice to respond to new advances in artificial intelligence or meet another type of unexpected need in a datacenter."

Apple CEO Tim Cook recently visited Japan for the opening of their state-of-the-art research and development facility. He described it as a "center for deep engineering that will be very different from the R&D base Apple plans to build in China." "I cannot tell you the specifics," Apple CEO Tim Cook told Nikkei Asian Review while riding on a bullet train in Japan. "The specific work is very different." According to the report Cook is seeking to integrate artificial intelligence into all of their product offerings including presumably the iPhone.

Apple employs their new Artificial Intelligence (AI) director Ruslan Salakhutdinov, a leading expert in the field. He is tasked to ensure that Siri and other related products will take advantage of all the relevant breakthroughs released by academic experts from AI research. He is scheduled to discuss his research for the MIT Technology Review conference at EmTech MIT 2016 to be held this week. Salakhutdinov is an associate professor at Carnegie Mellon University in the Machine Learning Department, working in the field of statistical machine learning. His research revolves around deep learning and a series of very large neural networks which allows the computer to learn and carry out complex tasks by absorbing extensive amounts of patterns and training examples.

To accomplish the 5.9 percent error rate, which beats a 6.3 percent record set just last month, the Microsoft team leveraged neural language models resembling associative word clouds. That is, a word like "fast" resides much closer to "fast" than it does to "slow". This allowed the speech recognition engine to generalize between words and better recognize them in context. The team relied on Microsoft's homegrown deep learning Computational Network Toolkit to develop its record-setting algorithm. The team's next goal is to improve the engine's robustness so that it can be used in real-life situations such as on crowded city streets or while driving.

A RealDoll model, not one currently equipped with AI. RealDoll, as the name suggests, make incredibly life-like sex dolls. You might have seen the documentary on the BBC about the four men who treat their RealDolls like girlfriends, or Lars and the Real Girl, the Ryan Gosling movie where the co-lead is a RealDoll named Bianca. Or you might have just seen them on the internet, for it is a vast and thorough thing. You also might have seen, on the internet, that RealDoll founder Matt McMullen is working on integrating robots and artificial intelligence into the dolls. While most AI personal assistants we chat to today--Siri, Microsoft's Cortana, Amazon's Echo--hire writers to ensure their responses are charming but always professional, Matt's trying to exploit the developments in speech recognition to create an AI whose main aim is to get you mentally and physically excited.

Today's wireless telematics, like the TotalTrax SX/VX Advanced Telematics Platform, provides valuable insights that support proactive -- rather than reactive -- decision-making. But, within five years, upgrades to telematic artificial intelligence will offer even greater capabilities for achieving efficiency and meeting objectives.