Here's What We Can Expect from Deep Learning in 2016 and Beyond

At the NULLCON International Security Conference in Goa, India, a startup presented a prototype vulnerability scanner... This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your email address, you agree to receive emails regarding relevant topic offers from TechTarget and its partners. You can withdraw your consent at any time.

Machine learning is one of the fastest-growing and most exciting fields out there, and deep learning represents its true bleeding edge. In this course, you'll develop a clear understanding of the motivation for deep learning, and design intelligent systems that learn from complex and/or large-scale datasets. We'll show you how to train and optimize basic neural networks, convolutional neural networks, and long short term memory networks. Complete learning systems in TensorFlow will be introduced via projects and assignments. You will learn to solve new classes of problems that were once thought prohibitively challenging, and come to better appreciate the complex nature of human intelligence as you solve these same problems effortlessly using deep learning methods.

Salesforce is set to acquire deep learning start up MetaMind in an effort to bolster it artificial intelligence capabilities. While terms of the deal have not been released, it would appear to be an "acqhire" based agreement, as Salesforce will integrate MetaMind's technology into its current services. Long-term intentions have not been announced, though MetaMind's capabilities will be used to automate and personalize customer support in the first instance. "With MetaMind and Salesforce coming together, we'll be able to offer customers real AI solutions with breakthrough capabilities that further automate and personalize customer support, marketing automation, and many other business processes," said MetaMind Founder Richard Socher. "We'll extend Salesforce's data science capabilities by embedding deep learning within the Salesforce platform."

Even though healthcare professionals seem to be skeptical about the use of artificial intelligence in their practice, this article presents a few use cases where AI could add value to healthcare, especially in areas where it could excel beyond the abilities of humans. Artificial intelligence has not been popular lately. Leading thinkers have attacked the concept--Stephen Hawking and Bill Gates have both voiced their concern. In a BBC interview, Hawking explains that the development of full artificial intelligence could spell the end of the human race. Some people in medicine, however, don't think that way. It's worth a look at different alternatives and use cases of how artificial intelligence could potentially bring value to the process of healthcare delivery and the treatment of diseases.

In a move to improve accessibility to site, the social network announced Monday that it is using AI to automatically detect what is shown in photos that users upload - and will then narrate them to people who are visually impaired. In one example Facebook gives, someone uploads a photo of a couple smiling while wearing sunglasses by the coast. "Image may contain: two people, smiling, sunglasses, outdoor, water," the AI says. Previously, blind users would only be told that someone has uploaded a photo - so if the user didn't manually add a description, they would have no idea what's in it. "Every day, people share more than 2 billion photos across Facebook, Instagram, Messenger and WhatsApp," Facebook's head of accessibility Jeffrey Wieland and others wrote in a blog post explaining the update.

With robotic research on the rise, the implementation of artificial intelligence is paving the way for robotic achievements. An AI passed the first round of a literary competition, begging the question, how safe are the creative arts? After an artificial intelligence software proved creative enough to -- with the help of humans -- pass the first round of a national Japanese literary competition, people have now become more afraid of AI. Of course, now AI has seeped into the arts, so there's no stopping them. We're going to be taken over by computers, right?

Employing artificial intelligent robots in Chinese restaurants – an idea that attracted national headlines – has not proved such a smart idea after all, mainland media reports. A number of restaurant owners have chosen to fire about 10 robots because they were just not clever or sophisticated enough to do their jobs properly, the Xiamen Daily reported. The plug has been pulled on a number of the robots – employed as chefs and waiters – only a few years after a catering business in the seaport city of Xiamen, in southern Fujian province, scrambled to employ them instead of people, the newspaper said on Tuesday. Workers are ready for the robot revolution, but are their managers? Another restaurant, which opened last October, made local headlines for using four automated waiters that were able to take orders and deliver food to customers' tables.

The folks over at x.ai – creators of Amy, the artificial intelligence answer to scheduling meetings – have had a shot at showing exactly what it looks like inside their bot's brain, using AI, of course. The team used a powerful deep-learning model, a Recurrent Neural Network (RNN), to trawl 500,000 words in its database, looking at their sequence in a sentence to understand what they mean, then predicting how to categorize them. Don't miss our biggest TNW Conference yet! Without a human ever telling the RNN the definitions of different word groups, it has managed to understand that Stanford is different from Instagram, and that Jesse, Luke and Jason are names. This data was cut to down to the 3,500 most frequently used words and has then been projected into a 2D shape in order to show the relationships the AI has made between different words.

Mr. Suhale Kapoor, Co-founder and Executive Vice President, Absolutdata Analytics, talks to EFY about the tremendous potentials Artificial Intelligence holds and the deep neural networks it is creating upon itself and learning to interact with us. A Artificial intelligence and the Internet of Things (IoT) will play a significant role in several ways in the future. There are multiple forces which are driving the growing need for both the technologies and more and more organizations, industries, and technologists have started to implement it in multiple scenarios. The true benefit of both IoT and AI can be experienced when they are combined, both at the server end as well as at devices. In the past one decade there has been a phenomenal growth in the number of sensors and machines used to measure and record the events and situations in the physical world.