Self-driving cars are getting closer and closer to become an everyday reality. Although, at first it may seem like that autonomous cars investigations are reserved for a very narrow group of researchers, we would like to show it is not necessary true. Actually, the only things you need to start playing with driverless-cars, are some hacking skills, a little bit of programming and basic understanding of machine learning concepts - mainly deep and reinforcement learning. Driverless cars have been a dream of engineers since automotive industry was born and the first approaches were made, when Ford Model T was still ruling the roads. Although, radio-controlled car, presented by Houdina Radio Control in 1925, is far away from what we understand as an autonomous car in 21th century, it might be considered as the first try to construct an automobile, that does not require a human behind the wheel.

I'm a researcher in this field, been a long time looking for something to collect and digest everything, and send it over! So thought I might start it by myself, and it's pretty exciting! Your feedbacks, love, suggestion and subscription are truly appreciated.

Ysance, the provider of people-based marketing platform, has announced the launch of Stories, a cutting-edge AI-centric marketing engine. The latest AI martech tool will help marketers analyze and influence omnichannel customer journeys. Ysance, founded in 2005, will launch the Stories at the National Retail Federation's (NRF) Big Show in New York City, January 15-17, 2017. Marketers have a hard time understanding the kind of experience customers expect from their first interaction with the brand. No matter how good the product is, a poor or even an average customer experience can severely dent the marketing campaign.

Chorus.ai, a startup that uses AI (artificial intelligence) to analyze sales calls, announced today that it has raised $16 million. The round was led by Redpoint Ventures. The San Francisco- and Tel Aviv-based startup provides a software-as-a-service (SaaS) offering that uses in-house developed speech recognition, natural language processing (NLP), and AI to transcribe, analyze, and deliver real-time feedback on sales conversations. The aim is to improve sales rep performance and help companies understand why some deals don't close. "Studies show that win rates increase by 33 percent with a proper coaching program in place, yet most managers don't have the time to sit in on calls, and no one has the capacity to learn from the thousands of meetings that take place each quarter," said Roy Raanani, CEO and cofounder of Chorus.ai, in a statement.

We still have a great deal on the Deep Learning and Artificial Intelligence Introductory Bundle in the Geeky Gadgets Deals store, you can save 91% off the regular price. The Deep Learning and Artificial Intelligence Introductory Bundle normally costs $480 and we have it available in our deals store for just $39. Deep Learning is a set of powerful algorithms that are the force behind self-driving cars, image searching, voice recognition, and many, many more applications we consider decidedly "futuristic." One of the central foundations of deep learning is linear regression; using probability theory to gain deeper insight into the "line of best fit." This is the first step to building machines that, in effect, act like neurons in a neural network as they learn while they're fed more information.

Kali Durgampudi, VP of Innovation and Mobility, R&D, Healthcare Solutions, Nuance Communications, Kali currently serves as the vice president of Innovation, Mobile Architecture, R&D – Healthcare Solutions, Nuance Communications where he o... The abundance of Internet of Things (IoT) devices and connected technologies being introduced daily are pushing the limits of innovation and raising expectations with every passing day. Thanks to these developments, particularly in machine learning and artificial intelligence (AI), we have already seen some successes in autonomous cars, smart cities and manufacturing that we used to believe could only happen in our Jetsons fantasies. These innovations are also impacting the healthcare industry. While nurses and physicians will never be replaced by "Rosie" in the patient exam room, machine learning and AI are poised to transform the healthcare industry in ways that positively impact physicians and their patients. It's been well-established that physicians today spend too much time on administrative tasks, particularly documentation, even with the advent of electronic health records (EHRs).

In much of machine learning, data used for training and inference undergoes a preprocessing step, where multiple inputs (such as images) are scaled to the same dimensions and stacked into batches. This lets high-performance deep learning libraries like TensorFlow run the same computation graph across all the inputs in the batch in parallel. Batching exploits the SIMD capabilities of modern GPUs and multi-core CPUs to speed up execution. However, there are many problem domains where the size and structure of the input data varies, such as parse trees in natural language understanding, abstract syntax trees in source code, DOM trees for web pages and more. In these cases, the different inputs have different computation graphs that don't naturally batch together, resulting in poor processor, memory, and cache utilization. Today we are releasing TensorFlow Fold to address these challenges.

Apple is going to start making the iPhone 8 far sooner than expected, according to reports. The move could indicate that the Apple plans to release the new phone earlier than normal, that it is expecting to sell a lot more of them or that it is intending to add so many changes that the phones will take far longer to produce. There is "some indication" that Apple is ramping up production of the new phone, according to analysts from BlueFin Research Partners. The new handsets are expected to start being put together by Apple's suppliers in early June, much earlier than usual, according to the same report. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Google's neural networks have achieved the dream of CSI viewers everywhere: the company has revealed a new AI system capable of "enhancing" an eight-pixel square image, increasing the resolution 16-fold and effectively restoring lost data. The neural network could be used to increase the resolution of blurred or pixelated faces, in a way previously thought impossible; a similar system was demonstrated for enhancing images of bedrooms, again creating a 32x32 pixel image from an 8x8 one. Google's researchers describe the neural network as "hallucinating" the extra information. The system was trained by being shown innumerable images of faces, so that it learns typical facial features. A second portion of the system, meanwhile, focuses on comparing 8x8 pixel images with all the possible 32x32 pixel images they could be shrunken versions of.

With 18 months of managed cloud services under its belt, ZeroStack says it's ready to start feeding what it's learned into machine learning algorithms, aiming to further automate the private cloud. The goal is to let application developers run jobs without worrying about things like storage capacity or the optimal placement of applications, says Steve Garrison, the startup's vice president of marketing. "A lot of people are wanting to refrain from managing anything on-premises any more. This is why public cloud is taking off," Garrison says. What ZeroStack offers is infrastructure that can be consumed as if it were a public cloud, but that remains under control of the enterprise -- a "neutral hybrid" alternative for work that the enterprise would prefer to keep closer to home, he says.