Google dramatically cut its energy usage for cooling its datacenters by up to 40%, with the help of its DeepMind artificial intelligence, the company announced Wednesday in a blog post. Alphabet's Google began using machine learning two years ago to save energy and money at its data centers. Over the past few months, Google added artificial intelligence from its DeepMind research and significantly improved on its results. Google was able to cut up to 40% of its energy usage from cooling its data centers and, overall, improve its power usage effectiveness (PUE) by 15%, after accounting for other non-cooling inefficiencies and electrical losses. For Google, its energy reduction results could bode well should it decide to launch something as a source of revenue.

I am trying to predict the probabilistic location of a person, given a time series of various sensor readings (from accelerometers and cameras). Based on these readings, I want to output the probability of the presence of the person in different zones, whose locations I know. Since LSTMs learn from the context, I think they are suited for this task. However, almost all the tutorials I've encountered come from an NLP point of view. Translating these examples to time series is not exactly one to one.

This will be the definitive forum on the shape of the next economy. Be part of the discussion and understand how the technological revolution will shape the future of work and business. "Could a machine do your job?" ask Michael Chui, James Manyika, and Mehdi Miremadi in a recent McKinsey Quarterly article, "Where Machines Could Replace Humans and Where They Can't Yet." "As automation technologies such as machine learning and robotics play an increasingly great role in everyday life, their potential effect on the workplace has, unsurprisingly, become a major focus of research and public concern. The discussion tends toward a Manichean guessing game: which jobs will or won't be replaced by machines? In fact, as our research has begun to show, the story is more nuanced. While automation will eliminate very few occupations entirely in the next decade, it will affect portions of almost all jobs to a greater or lesser degree, depending on the type of work they entail."

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Working at Black Duck Software affords me a unique perspective on the ways container technologies and open source software continue to radically alter the application security landscape. But it's at conferences and tradeshows where I the most feel part of the wider software development community. While at work (particularly working with OpenHub), I can see and analyze new trends in software development; at these conferences, I experience those shifting tides. Recently I attended RailsConf in Kansas City, Missouri and OSCON in Austin, Texas. I came away from these conferences with a few key insights into how software development has changed since I began working in the field oh-so-long ago.

Researchers from Delft University of Technology in the Netherlands have created a rewritable data-storage device capable of storing information at the level of single atoms representing single bits of information. The technology, which is described in the current issue of Nature Nanotechnology, is capable of packing data as dense as 500 terabytes per square inch. Theoretically, the device could store the entire contents of the US Library of Congress within a 0.1-mm-wide cube--though the proof-of-concept demonstrated by the group topped out at 1 kilobyte. On Tuesday, DigitalGlobe, a satellite-imagery company, announced that it will provide high-resolution pictures of the planet's surface to Uber. DigitalGlobe is the primary provider of satellite imagery to Google, Apple, and the U.S. government.

Investors looking for the most recent technology trends should look no further than the Gartner's Top Tech Trends 2016 list. The research firm has divided the top tech trends in business into several categories and we dove down into a few them to pull out some of the best ones for investors. They include: driverless cars, artificial intelligence, and virtual and augmented reality. IHS Automotive estimates that 10% of all light vehicles sold by 2035 will by fully autonomous (as in, they can drive themselves around everywhere). The group also anticipates that driverless cars will become ubiquitous some time after 2050.

For insurers, artificial intelligence – as represented by cognitive computing and robotic process automation -- may be the single most disruptive emerging technology on the near horizon. Insurers, along with other businesses, will use machines capable of complex reasoning and interaction to enhance human capabilities. The potential gains in effectiveness and efficiency in areas ranging from underwriting to claims processing to risk management are enormous. A number of converging elements have led to the rise of artificial intelligence. For example, there have been vast increases in the volumes of available data, with an estimated 44 zettabytes of data by 2020.

Lunch dates, business meetings, and social gatherings sound like random events, but they all share two things in common: personal interactions and scheduling. Social dynamics include the behaviors, relationships and interactions of individuals and groups. We know the reason companies invest so much in automated systems is in an effort to save time and money. MeetVibe integrates the latest technology to reduce the time required for the act of scheduling so that people can make the most of their time with the ones who are important to them.

Lunch dates, business meetings, and social gatherings sound like random events, but they all share two things in common: personal interactions and scheduling. Some exchanges are spontaneous while at work or on the go. Other meetings are scheduled in advance by saving the date and confirming an appointment. Social dynamics include the behaviors, relationships and interactions of individuals and groups. Relationships play a role in every interaction, and individuals are influenced by one another's behavior.