With the vital exception of venture capitalist Peter Thiel, tomorrow-focused Silicon Valley tends to see Donald Trump as the candidate of yesterday. Tech workers are demonstrably less than fans of the Republican presidential nominee. Among the many issues at which they find themselves at odds, the real estate/media maven's approach to automation is anathema to the Valley as autonomous cars speed ever closer. "You have a potential candidate in Trump where his entire rhetoric is, 'We're going to bring back all those old jobs, we're not going to go into the future,'" Aaron Levie, CEO and founder of Box, said this week at Vanity Fair's New Establishment Summit in San Francisco. Levie's right: Trump's promise to "bring back" 5 million factory jobs spirited away overseas has been an vital tenet of his campaign.

Last Thursday, I had the honor to be one of the warmup acts for President Obama at the White House Frontiers Conference at Carnegie Mellon University in Pittsburgh. Here is the prepared text and slides from the talk I delivered there. As you'll see if you watch the video, what I ended up saying isn't exactly what I had written out in advance, but it is reasonably close. Let me know if you like this format for sharing talks.) Hearing that Bob Dylan just won the Nobel Prize for Literature, how could I not begin this talk with his famous line, "Something is happening here, but you don't know what it is, do you, Mr. Jones?"

Stephanie Palermo wasn't interested in living in a "smart home" outfitted with web-connected appliances controlled remotely by phone or computer. She didn't need her fridge to have Wi-Fi or her blinds to close themselves. But when Amazon temporarily discounted the price on its voice-controlled Echo speaker to 99 for Amazon Prime members, there was "a low barrier to entry," and the 28-year-old from Belmont, Calif., was willing to take a risk. She started using the cylindrical device as a hands-free speaker. During board game nights, she'd tell Alexa -- the artificial intelligence that powers the Echo -- to play themed music from Pandora.

The energy landscape: what is driving change in renewable energy markets? A record 15.2bn was invested in UK clean energy last year. Energy system transformation: where are we at and where are we going? What are the positive economic effects of emerging technology in energy? Hear experts from leading industry players including BP, British Gas and the Centre for Sustainable Energy as they explain the opportunities of applying artificial intelligence and machine learning to manage energy generation and consumption.

The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature.

While most people welcome new technologies that make our lives easier, offer better diagnosis and treatment of disease, or making businesses more efficient (and their products cheaper), many new breakthroughs throw up important ethical questions. This is perhaps clearest in relation to artificial intelligence (AI): if we want machines to learn and make decisions like humans, how do they learn to make morally correct decisions? Indeed, could we ourselves reach agreement on the kinds of moral choices that intelligent machines might face? As for efficiency, are there dangers attached to doing things ever faster? For example, what are the benefits and pitfalls of financial technology, aka'fintech'?

Mattias Ulbrich, CIO of Audi, discusses technology trends in the automotive industry and how his team is enabling next-generation manufacturing practices. Many companies are embedding sensors in product components and equipment to streamline manufacturing processes, improve yields, and create new business opportunities.1 1. "Digitizing manufacturing environments," McKinsey on Business Technology, 2016, forthcoming on McKinsey.com. The digitization of manufacturing, sometimes referred to as Industry 4.0., has begun in earnest, and Mattias Ulbrich, CIO of Audi, has witnessed the shift firsthand. "Years of experience in the automotive industry have made it clear to me that interdisciplinary collaboration--with business and IT working together--will be critical in this time of digital transformation. IT has a central role to play as change partner," he says.

What will this chatbot do for Studiotime and our users? Can the chatbot find any type of music studio and also any location in the world? Will the chatbot know of every music studio that's on Studiotime? Will it share high quality photos of the studio if someone wants to see more photos? Think of Rails as preset paths for conversation that help the user move sequentially through stages, with buttons for available options.

"Data-Driven Thinking" is written by members of the media community and contains fresh ideas on the digital revolution in media. Today's column is written by Santanu Kolay, senior vice president of engineering at Turn. Artificial intelligence (AI) is one of the most-hyped topics in advertising right now. At Cannes, Saatchi & Saatchi featured an AI-created film. This summer, IBM's Watson rolled out AI-powered ads for The Weather Co. that answered consumer questions.

Cirrascale Corporation, a premier developer of server and cloud solutions enabling GPU-driven deep learning infrastructure, has announced the future availability of the IBM Power Systems S822LC for HPC in multiple configurations for its GPU-as-a-Service cloud platform. The configurations will support both the 8-core and 10-core POWER8 CPU and up to four Pascal architecture-based NVIDIA Tesla P100 GPU accelerators using NVIDIA NVLink, a high-speed, energy-efficient bidirectional interconnect. NVIDIA NVLink is embedded at the silicon level and tightly coupled with the CPU. This enables data transmission rates up to 80GB/s bidirectional between CPU and GPU, and 115GB/s between CPU and board memory making it 2.5x faster than competing offerings. The service is differentiated because it offers the industry's most up-to-date, dedicated GPUs as a bare metal offering.