Personally, I am working with Vamsi on some awesome content for an upcoming DZone item. I'm also preparing for Oracle Code New York, where I will be doing a talk on NiFi, Deep Learning, Machine Learning, NLTK, streaming, IoT, and Java microservices. Not sure how I will cram that into 45 minutes at 5 p.m. with a hands-on demonstration -- I think I will need compression. If you are at that event in two weeks, come say hi! Mention the secret password, "DZone," and get a free sticker. Check out the source for yourself in Using Python With Keras Intro of Deep Learning 4J (on top of Hortonworks HDP).

Historically, some banking activities such as trading have been relying heavily on analytics and cutting edge algorithmic tools. The coming of age of powerful data analytics solutions combined with the development of intelligent algorithms have created new opportunities for financial institutions. In his session at 20th Cloud Expo, Sebastien Meunier, Head of Digital for North America at Chappuis Halder & Co., will discuss how these tools can be leveraged to develop a lasting competitive advantage in priority areas: customer analytics, financial crime prevention, regulatory compliance and risk management. Speaker Bio Sebastien Meunier is an expert in Innovation in Finance, with 14 years of experience in managing business and technology transformations in Financial Services, and among the top 10 Fintech influencers on social media. He is the Head of Digital for North America at the consulting firm Chappuis Halder & Co.

Deep learning has been very successful in social sciences and specially areas where there is a lot of data. Trading is another field that can be viewed as social science with a lot of data. With the advent of Deep Learning and Big Data technologies for efficient computation, we are finally able to use the same methods in investment management as we would in face recognition or in making chat-bots. In his session at 20th Cloud Expo, Gaurav Chakravorty, co-founder and Head of Strategy Development at qplum, will discuss the transformational impact of Artificial Intelligence and Deep Learning in making trading a scientific process. This focus on learning a hierarchical set of concepts is truly making investing a scientific process, a utility.

One of the big problems in Artificial Intelligence is the gigantic amount of GPUs (or computers) needed to train large networks. The training time of neural networks grows quadratically (think squared) in function of their size. This is due to how the network is trained. For each example, the entire network is modified, even though some parts might not even activate while processing this particular example. However, the memory of a network is directly dependent on the size of the network.

Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. See these course notes for a brief introduction to Machine Learning for AI and an introduction to Deep Learning algorithms. Deep Learning is about learning multiple levels of representation and abstraction that help to make sense of data such as images, sound, and text. The tutorials presented here will introduce you to some of the most important deep learning algorithms and will also show you how to run them using Theano. Theano is a python library that makes writing deep learning models easy, and gives the option of training them on a GPU.

Deep learning is not a beginner-friendly subject -- even for experienced software engineers and data scientists. If you've been Googling this subject, you may have been confused by the resources you've come across. To find the best resources, we surveyed engineers on their favorite sources for deep learning, and these are what they recommended. These educational resources include online courses, in-person courses, books, and videos. All are completely free and designed by leading professors, researchers, and industry professionals like Geoffrey Hinton, Yoshua Bengio, and Sebastian Thrun.

Imagine driving down the highway, coming home from work, and without taking your hands off the wheel or hitting any buttons, asking your car to turn up the heat in your house, preheat the oven for dinner, and play your favorite album, all in the same breath. Picture negotiating with a street vendor in Beijing, having your phone translate the entire conversation between Mandarin and English out loud, so you can haggle in real time. Or how about a stuffed animal that can tell your daughter interactive stories every night before bed, reshaping the adventure at every twist and turn based on her responses and reactions. The human voice is well on its way to becoming the next major medium we use to interact with computers, and as we'll explore in this two-part series, voice computing is the burgeoning field of technology making it possible. Already spanning multiple consumer and enterprise ventures (think call center routing, digital dictation, or the virtual assistants on smartphones), the industry's ultimate aim is enabling people to carry on hands-free, conversational-style interactions with computers.

Apple is going to release an "iPhone Edition" as well as its normal 7s and 7s Plus this year, according to a report, potentially making this year's iPhone release the most complicated ever. The company is expected to reveal its 7s and 7s Plus later this year, in keeping with tradition. But much less is known about a special model that might accompany it – the so-called iPhone 8, which will mark the phone's tenth anniversary. Now a new report claims that phone will have a 5-inch screen, be made out of strange new materials and launch later than the two updated models. 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.

Suddenly, everyone is talking about artificial intelligence (AI). But the difference between this'next big thing' and, say, the cloud, big data or any other widely-discussed technology, is that the AI talk goes way beyond the IT department. This time it's being discussed by sociologists, economists and politicians too. Quite rightly so; ultimately, AI has the potential to transform the world of work as we know it, propelled by the promise of high productivity growth – think of those science fiction films of robots replacing workers. According to the script, world domination usually follows.

WHAT: Will host the webinar, "Robots in Recruiting: The Implications of AI on Talent Acquisition," featuring guest speaker Allan Schweyer, human capital management expert and founder of TMLU, Inc. DETAILS: Artificial intelligence (AI) has the potential to replace the repetitive and time consuming work of sourcing, screening and early assessment in the recruitment process. AI can dramatically improve recruiting while lowering costs and enhancing the candidate experience. As this technology continues to evolve, organizations put themselves at a deep disadvantage in finding and hiring talent when they ignore or don't understand the advantages of automation and AI. During this Appcast-hosted webinar, human capital management expert Allan Schweyer will examine how AI is pushing the recruiting industry to engage and source candidates differently. Schweyer will share how AI is applied to machines and algorithms that mimic the cognitive functions of human beings, enabling the augmentation and automation of specific tasks previously only performed by humans.