As recently as 2013, the [deep learning] space saw fewer than 10 deals. Computer Vision: Startups here are using deep learning for image recognition, analytics, and classification. Aerial image analytics startup Terraloupe was seed-funded this year by Germany-based Bayern Kapital. New York-based Calrifai -- backed by investors including Google Ventures, Lux Capital, and NVidia -- entered the R/GA accelerator this year, after raising 10M in Series A in Q2'15. Captricity, which extracts information from hand-written data, has raised 49M in equity funding so far from investors including Social Capital, Accomplice, White Mountains Insurance Group, and New York Life Insurance Company.

Artificial intelligence, once restricted to NASA and sci-fi movies, is gradually becoming a prominent buzzword in the world of marketing technology. However, the widespread adoption of artificial intelligence in marketing is likely several years away as its application is not yet fully developed. But innovations taking place now are setting the stage for artificial intelligence and, more specifically, machine learning, to become a marketing standard in the near future. Many use the two terms of artificial intelligence and machine learning interchangeably; because they are so closely related, it is difficult to establish clear boundaries between them. While artificial intelligence refers to technology that has the cognitive capabilities to solve problems, machine learning allows marketers to learn and understand, among other things, how content is consumed, and helps them predict consumer behaviors based on data patterns and algorithms.

Google is taking a page from Apple's playbook by making a bigger push to build its own hardware. Rick Osterloh, head of Google's new hardware group, said that in doing so, Google can take full advantage of capabilities it's designing with artificial intelligence and machine learning. Apple has long designed both iPhone hardware and the iOS operating-system software that runs on it. Now, Google is doing the same with the upcoming Pixel phones running Google's Android system. The Pixel is one of several gadgets Google announced Tuesday in San Francisco.

Healthcare organizations are struggling to find ways to manage the risks of massive data breaches, which have proven hard to detect, often taking months to discover. In 1996 the Health Insurance Portability and Accountability Act (HIPAA) was enacted. The Accountability portion of the law requires that healthcare providers protect the privacy of patient health information and includes security measures that must be followed. Provider success has been mixed and has recently come under intense scrutiny due to the number and size of reportable breaches of health information. There are several major contributors to this increase. The first is the passage of the American Recovery and Reinvestment Act of 2009.

The Commonwealth Scientific and Industrial Research Organisation (CSIRO) has signed on for a pair of Nvidia DGX-1 3U boxes to serve as a platform for applying machine learning to its science. Angus Macoustra, acting deputy CIO and executive manager for Scientific Computing at CSIRO, said the boxes would be used for medical image analysis, nano-material modelling, genome analysis, astronomy, and space science. In the realm of space science, Macoustra said machine learning can help with hunting for the signature of pulsars. "Two thirds of all known pulsars discovered in the world have actually been observed on the Parkes radio telescope, and CSIRO holds close to 40 years of data collected from that instrument," Macoustra said during the GTCx Australia conference on Tuesday. "Machine learning gives us mechanisms to interrogate that data and it is the belief of our scientists that there are still a number of unknown pulsars locked up in these data sets that span the past 40 years."

Microsoft created a new ventures arm just over four months ago. As of October 4, Microsoft Ventures has invested in 13 companies, officials said today. Microsoft and the Series A to Series D startups in which it has invested to date are not disclosing the amount Microsoft is investing in each of the companies in its portfolio. But Microsoft has created a new Microsoft ventures site listing the companies it is backing. There are three additional companies in Microsoft Ventures portfolio which haven't been announced yet, officials said.

Not everyone liked the Google Glass -- even the tech giant itself admitted regrets in how it executed on the hardware push. Last month, it closed Project Ara, its initiative to build a modular smartphone. The six-year-old Nexus program proved more fruitful, but as of this week, Google has no more plans for a new Nexus phone or tablet, The Verge reported. SEE ALSO: Google's big hardware moment is also its biggest test On Tuesday at an event in San Francisco, Google revealed its program called "Made By Google." The homepage of its new website is a tribute to a suite of products: Phones, home speakers, Wi-Fi routers, virtual reality headsets and a new TV device.

This project uses deep learning to upscale 16x16 images by a 4x factor. The resulting 64x64 images display sharp features that are plausible based on the dataset that was used to train the neural net. Here's an random, non cherry-picked, example of what this network can do. From left to right, the first column is the 16x16 input image, the second one is what you would get from a standard bicubic interpolation, the third is the output generated by the neural net, and on the right is the ground truth. As you can see, the network is able to produce a very plausible reconstruction of the original face.

Adaptive behavioural analytics software reduces'genuine transactions declined' by over 70% and incidence of undetected fraud by 25% Oakhall, the London based analysis firm, estimates that global financial services firms could save at least 12 billion annually by employing adaptive, machine learning fraud management systems according to a study published in conjunction with Featurespace. For the full study see http://www.featurespace.co.uk/cost-of-card-fraud. By employing adaptive behavioural analytics software to both identify actual fraudulent transactions, and reduce the number of'genuine transactions declined' - as well as reducing the costs associated with managing blocked customers - the industry could reduce the 31 billion total annual cost of card fraud by over 12 billion annually. Featurespace is a world leader in adaptive behavioural analytics software. Its services and products are employed in over 180 countries via a wide range of customers, including the leading US payments processor, TSYS, as well as Vocalink/Zapp, William Hill and Betfair.

This program offers dual career track such that the candidates enrolling this program have the option of choosing to become a data scientist or a data engineer. This program relishes an amazing support of industry stalwarts. The class size happens to be relatively small which allows the instructor to pay attention to every candidate.