I'm co-founder and CTO at Overleaf, a successful SaaS startup based in London. From August 2014 to December 2015, I manually tracked all of my work time, minute-by-minute, and analysed the data in R. Like most people who track their time, my goal was to improve my productivity. It gave me data to answer questions about whether I was spending too much or too little time on particular activities, for example user support or client projects. The data showed that my intuition on these questions was often wrong. There were also some less tangible benefits. It was reassuring on a Friday to have an answer to that usually rhetorical question, "where did this week go?" I feel like it also reduced context switching: if I stopped what I was doing to answer an chat message or email, I had to take the time to record it in my time tracker. I think this added friction was a win for overall productivity, perhaps paradoxically. This post documents the (simple) system I built to record my time, how I analysed the data, and the results.

BATON ROUGE, LOUISIANA – Three police officers were shot to death and three others wounded in Baton Rouge, Louisiana, on Sunday, in what authorities said was an ambush less than two weeks after a black man was killed by police, sparking nationwide protests. The officers in Baton Rouge were responding to a call of shots fired when they were ambushed by at least one gunman, Baton Rouge Mayor Kip Holden said. One suspect is dead and police are checking the shooting scene with a robot to make sure there are no explosives, Baton Rouge Police spokesman L'Jean Mckneely said. Police told reporters authorities are seeking more than one suspect and said the public should be on the lookout for people dressed in black and carrying long guns. President Barack Obama has been briefed on the shootings and will be updated throughout the day, the White House said.

When Liz Jurcik of Seattle felt a sharp pain in her side and back in January of 2013, she didn't think much about it. Jurcik, a 31-year-old human resources professional at Boeing, ran regularly and was in good shape. She thought it was probably a strained muscle from a workout. But the pain got worse, and by early February she could barely stand up. "I had the absolutely worst pain in my life," she said.

It's been called the'sexiest job of the 21st century', the'hottest job of the decade', and is the fastest-growing field in tech at the moment – the impact of Data Science in today's world cannot be overstated. As a discipline, data science involves the collection and study of data – both structured and unstructured – to gain insights and information that can be used by organizations to devise effective strategies. By collating data over a period of time, patterns can be identified that enable companies to find new market opportunities, enhance efficiency, reduce costs, and place themselves at a competitive advantage in their industry. Due to rapid technological advances, especially in areas like mobile advertising, social media, and website personalization, a massive amount of data is being generated on a daily basis. These data volumes have resulted in industries having to become data-savvy & adapt to the new landscape – or risk falling behind the competition.

For more than a decade, Silicon Valley's technology investors and entrepreneurs obsessed over social media and mobile apps that helped people do things like find new friends, fetch a ride home or crowdsource a review of a product or a movie. Now Silicon Valley has found its next shiny new thing. And it does not have a "Like" button. The new era in Silicon Valley centers on artificial intelligence and robots, a transformation that many believe will have a payoff on the scale of the personal computing industry or the commercial internet, two previous generations that spread computing globally. Computers have begun to speak, listen and see, as well as sprout legs, wings and wheels to move unfettered in the world.

At this year's Annual Meeting of the New Champions, hosted by the World Economic Forum in Tianjin, China, the Meta-Council on Emerging Technologies choose the top ten technologies of 2016, based on their potential to transform industry and society. A diverse range of breakthrough technologies, including autonomous vehicles, natural language artificial intelligence, and next generation batteries, were examined in collaboration with Scientific American, highlighting advances that have the power to improve lives, transform industries, and safeguard the planet. The report also provides an opportunity to debate human, societal, economic, or environmental risks and concerns that the technologies may pose prior to widespread adoption. "The global community needs to come together and agree on common principles if our society is to reap the benefits and hedge the risks of these technologies," said Dr. Bernard Meyerson, Chief Innovation Officer of IBM, and Chairman of the Meta-Council. In raising awareness about these technologies, moreover, the Council aims to address challenges in investment and regulation.

Though deals to private artificial intelligence companies -- excluding incubator/accelerator rounds -- fell 10% in Q2'16, dollar funding reached an all-time high. Q2'16 saw 3 100M mega-rounds by companies using AI: a 154M Series A round to China-based healthcare startup iCarbonX (backed by Tencent, Vcanbio), a 100M growth equity round raised by New Jersey-based Fractal Analytics (backed by Khazanah Nasional Berhad) and a 100M Series D round raised by California-based cybersecurity unicorn Cylance (backed by investors including Blackstone Group, Insight Venture Partners, and Khosla Ventures). Our AI category includes companies applying AI solutions to verticals like healthcare, security, advertising, and finance as well as those developing general-purpose AI tech. Nearly 70% of the deals went to startups in the United States in Q2'16. A majority of the startups raising funds were still in their early-stages: Nearly 60% of the deals went to startups raising seed/angel and Series A rounds, while mid-stage startups (Series B and C) received 12% of the deals.

Three police officers were shot to death and three others wounded in Baton Rouge, Louisiana on Sunday, in what authorities said was an ambush less than two weeks after a black man was killed by police, sparking nationwide protests. The officers in Baton Rouge were responding to a call of shots fired when they were ambushed by at least one gunman, Baton Rouge Mayor Kip Holden said. One suspect is dead and police are checking the shooting scene with a robot to make sure there are no explosives, Baton Rouge Police spokesman L'Jean Mckneely said. Police told reporters authorities are seeking more than one suspect and said the public should be on the lookout for people dressed in black and carrying long guns. A state police helicopter is seen near the scene where police officers were shot in Baton Rouge, Louisiana, U.S. July 17, 2016.

This article was posted by Xiu-Shen Wei. Xiu-Shen Wei is a 2nd-year Ph.D. candidate of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group. Deep Neural Networks, especially Convolutional Neural Networks (CNN), allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-arts in visual object recognition, object detection, text recognition and many other domains such as drug discovery and genomics. In addition, many solid papers have been published in this topic, and some high quality open source CNN software packages have been made available.

A recent Gallup poll found that 37 percent of the U.S. workforce has telecommuted--a fourfold increase over 1995. Once a fairy tale perk that was likely unachievable in most positions, telecommuting is quickly becoming the norm for companies, both big and small. And with the growth of what has been dubbed the "Gig Economy", or the practice of companies hiring independent contract workers for various projects instead of having a team of full-time salaried employees, there is no doubt that there will be a rise in the use of home offices as well. And as this remote work revolution transitions our cubes into homier workspaces, technology is constantly evolving to keep up with changing needs of remote workers. From artificial intelligence assistants to virtual reality conferencing and web-based organization applications, the introduction of new types of technology will change how we work from home.