Amazon Web Services is reportedly launching its own artificial intelligence service to tie into its cloud offerings, according to The Information, citing sources close to Amazon. AWS is just the latest among major cloud providers looking to integrate deep learning technology into cloud offerings, recognizing the potential it has to improve businesses. Colin Sebastian, an analyst for R.W. Baird, recently said he believes Google's machine learning and AI efforts give it an edge over Microsoft Azure and Amazon Web Services in the enterprise. "Google would ultimately be able to differentiate its enterprise offering from competitors by leveraging advanced ML capabilities and monetize ML through a range of business services," said Sebastian Last week, Google announced it's creating a new Google Cloud Machine Learning group that will focus on delivering cloud-based machine learning solutions to businesses. The group will be led by prominent machine intelligence researchers Fei-Fei Li and Jia Li.

We are at an incredible moment in technology history. Thanks to cloud computing power, more advanced algorithms and the availability of massive amounts of data, the artificial intelligence (AI) field has exploded – allowing computer scientists to create technology many of us only dreamed about just a few years ago. Using deep learning, computers today can recognize the words in a conversation about as well as a person does and provide real-time translation. Thanks to advances in fields such as reinforcement learning, we are making tangible progress in the effort to build systems that have true artificial intelligence. At Microsoft, we believe everyone deserves to be able to take advantage of these breakthroughs, in both their work and personal lives.

And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model -- GPU deep learning -- that enables computers to learn from data and write software that is too complex for people to code. 3. NVIDIA -- INVENTOR OF THE GPU The GPU has proven to be unbelievably effective at solving some of the most complex problems in computer science.

Deep learning is a machine learning technique used to solve complex problems related to image recognition, natural language processing, and more. It requires both massive amounts of data and computational power. The compute problem has been solved largely by GPUs, which have become essential for making deep learning performant. GPUs have reduced the time required to train models from weeks to days. Most training tasks can be accomplished by building your own box.

A London NHS hospital trust has teamed up with tech giant Google to share patient data so it can save more lives. Doctors at the Royal Free say partnering with the artificial intelligence arm of Google - DeepMind - could free up over half a million hours per year, currently spent on paperwork, towards direct patient care. Medical staff will get'breaking news' style alerts about their patients. Privacy campaigners are concerned about data breaches. Information on more than 1.6 million patients a year will be shared with a subsidiary of Google.

Deep learning is not as complex a concept that non-science people often happen to decipher. Scientific evolution over the years have reached a stage where a lot of explorations and defined research work needs the assistance of artificial intelligence. Since machines are usually fed with a particular set of algorithms to understand and react to various tasks within a matter of seconds, working with them broadens the scope of scientific breakthroughs resulting in the invention of techniques and procedures that make human life simpler and enriching. However, in order to work with machines, it is important for them to understand and recognize things just the way the human brain does. For example, we may recognize an apple through its shape and colour. For a robot to go through the same cognitive process, it must be fed with programming structures to recognize the same.

This screencast shows how to use Skymind's DataVec to build an image pipeline to prepare data for processing in a Neural Network using DeepLearning4j. Topics covered include, ParentPathLabelGenerator and Image Scaling.

Tom provides an overview of how to build a simple neural net in this introductory tutorial. This screencast shows how to build a Linear Classifier using Deeplearning4j.

DeepMind Health, the division of the Google-owned AI company that's focused on building links to healthcare providers to drive the application of machine learning algorithms for preventative medicine, has inked a fresh data-sharing agreement with the NHS Royal Free Hospital Trust in London. It's the second agreement signed between the pair -- and it supersedes their original agreement inked last year, which ran into controversy after a freedom of information request by New Scientist revealed the volume of patient identifiable medical data (PID) flowing from the Royal Free to DeepMind, and raised questions about whether NHS information governance principles were being correctly followed. The data in question was being used to power an app called Streams, built by DeepMind but using an NHS algorithm to generate alerts on patients at risk of Acute Kidney Injury (AKI). At the time the collaboration was made public, last February, no details were provided about how much PID was being shared between DeepMind and the NHS -- leading to huge consternation when the scope of the arrangement emerged. The U.K.'s data watchdog, the ICO, began investigating complaints about the data-sharing agreement. The Streams app also ran into trouble when it was revealed DeepMind and the Royal Free had not registered it as a medical device with the oversight body, the MHRA, despite piloting the app in the Royal Free's hospitals.

On behalf of all at Intel who are focused everyday on supporting you to build, optimize and innovate on Intel architecture, I am proud to announce the launch of Intel Nervana AI Academy. We're at a great moment in the evolution of artificial intelligence (AI) that will open up incredible new experiences fueling the next wave of business opportunity, scientific discovery, and societal improvement. After decades of collectively advancing Intel architecture, we have reached the point that Moore's Law is creating new opportunities for the data science community. We're now supporting artificial intelligence as an enablement technology, through optimized machine and deep learning, providing developers new ways to add value to solutions and applications. Intel is investing heavily in AI and you.