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This 2-hour tutorial will give you an introduction to deep learning and TensorFlow. We will introduce the fundamental concepts of deep learning, including Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). Then we will introduce TensorFlow and its basics. You will get hands-on experience with TensorFlow, building a convolutional neural network in the class. You will have access to an AWS machine where TensorFlow is pre-installed by the instructor.

Searching for documents in Google Drive should be easier, Google announced Tuesday, now that its search capabilities support natural language processing. Instead of just using keywords from a file, a user "can type things like'find my budget spreadsheet from last December' or'show me presentations from Anissa,'" Google product manager Josh Smith explained in a blog post. "Drive will understand what you mean and give you the option to click for those specific search results. The natural language capabilities should get better with each query, he noted. Google continues to invest in natural language processing -- earlier in the week, the company announced it's acquiring a startup that enables developers to build chatbots and other natural language interfaces.

I am happy to say that in the first week of unbank.ventures Through our process the founder, Alexander Crosson, learned that his idea was not scalable or investable. Instead, of plowing ahead he decided to pivot and pursue a new idea. Alexander connected with a friend at a hackathon and decided to pursue a completely new idea. We know idea if this idea will succeed but it managed to get the attention of Techcrunch.

Researchers from Adobe and University of California, Berkeley developed software that automatically generates images inspired by the color and shape of the digital brushstroke. The software uses deep neural networks to learn the features of landscapes and architecture, like the appearance of grass or blue skies. Drawing a dark-colored, upside-down V triggers the AI to conjure a mountain or church steeple, where its seen the shape and color before. A blue line above that becomes a sky with various hues of blue, and a green line below becomes textured grass. Using CUDA, TITAN X GPU and the cuDNN version of the Theano deep learning framework, the researchers trained their models on more than 275,000 images of churches and landscapes.

When it comes to artificial intelligence, we may all be suffering from the fallacy of availability: thinking that creating intelligence is much easier than it is, because we see examples all around us. In a recent poll, machine intelligence experts predicted that computers would gain human-level ability around the year 2050, and superhuman ability less than 30 years after.1 But, like a tribe on a tropical island littered with World War II debris imagining that the manufacture of aluminum propellers or steel casings would be within their power, our confidence is probably inflated. AI can be thought of as a search problem over an effectively infinite, high-dimensional landscape of possible programs. Nature solved this search problem by brute force, effectively performing a huge computation involving trillions of evolving agents of varying information processing capability in a complex environment (the Earth). It took billions of years to go from the first tiny DNA replicators to Homo Sapiens.

For the past two months, the Guardian has been testing a Facebook Messenger bot, "Sous-chef," that provides recipe suggestions to people based on what they had in their fridges. Now, it's using the learnings to shape its main news bot, which launched a week ago. It's too early to get data on how many people are actively using the news app, though the Guardian's 6.2 million Facebook followers all have access to the bot. We spoke to Martin Belam, The Guardian's social and new formats editor; and Chris Wilk, group product manager for off-platform, about what they've learned. Keep it simple The bot has a simple setup: Users enter specific ingredients like "salmon" or types of cuisine, dietary requirements, and specific dishes, to get started.

A new press release reports, "Today Tractica announced the launch of its new Artificial Intelligence Advisory Service, a subscription-based market research and analysis suite that provides independent and objective market intelligence and strategy insights for companies engaged in the rapidly evolving artificial intelligence (AI) market. As part of the service, Tractica's global industry analyst team provides strategic and quantitative analysis focused on the market opportunity for AI technologies in enterprise, consumer, and government markets." Managing director Clint Wheelock commented, "Artificial intelligence technologies are already beginning to have a disruptive effect on established business models across virtually every industry, while simultaneously enabling new business processes that were not previously possible… Rapid advances in AI technologies like deep learning, machine learning, computer vision, and natural language processing (NLP) are being enabled by more powerful hardware, sophisticated algorithms, and a virtually limitless ocean of data to analyze and interpret." The release goes on, "As part of its Artificial Intelligence service, Tractica's industry analysts offer timely and actionable market insights, covering specific technology and industry sectors as well as overall market conditions and trends. Research reports include an in-depth examination of AI business models, use cases, technology issues, and key industry players in addition to detailed market sizing, segmentation, and forecasts. Tractica's Artificial Intelligence Advisory Service examines use cases and business models for the application of artificial intelligence technologies in enterprise, consumer, and government markets."

A report that was released by Forrester last month predicts that cognitive technologies will take over some 7% of jobs in the United States in less than a decade (by 2025). Notably, the report asserts that the trend will make itself felt five years from now. "By 2021, a disruptive tidal wave will begin. Solutions powered by AI/cognitive technology will displace jobs, with the biggest impact felt in transportation, logistics, customer service, and consumer services," says Forrester VP Brian Hopkins. Forrester estimates around 6% of jobs will be eliminated by as early as 2021.

Learn everything you need to design, train, and integrate neural network-powered machine learning into your applications with widely used open-source frameworks and the NVIDIA deep learning platform. As a perk, receive a certificate of attendance and free online training credits.