If you find yourself saying you "just don't have time" to squeeze in a workout or get some extra chores done around the house, Google wants to help. With the new feature, you can create a particular goal, such as exercising or reading, and Google Calendar will automatically block out time for you to fulfill that objective. The app uses machine learning to understand your schedule and preferences, allowing it to set goals for times that make sense for you without your intervention. After you tell Google Calendar about your goal and how much time you want to dedicate to it, the app will search your schedule for available times. If you create a new event during a goal slot, Calendar will move that slot to another available time.

In the background, a few pedestrians are looking warily at a strange new contraption barely visible behind the crowds of equine transport. Imagine the same street, just 13 years later. To the right of the frame is a cart pulled by a single, perplexed-looking horse. The street--and the world--has changed forever. Anders Hjælmsø Svennesen, CIO at the DKK 327 billion ( 50 billion) Danica Pension in Denmark, uses these images in presentations to illustrate the speed at which technology can fundamentally change the way we live.

Google Calendar has launched a feature called Goals that uses machine learning to help you figure out when you have time to pencil in stuff like spending time with your family or exercise. The feature is now available for Calendar's Android and iOS apps. Goals are set up by clicking into a category (which currently include Exercise, "Build a Skill," and "Me Time," though they can also be customized) and selecting a specific activity. Then Calendar will automatically find open slots, fill them in with your goal, and send reminders. If you schedule something else during those times, Google Calendar will find another window for your goal--but, in a tool that will surely be chronically abused by procrastinators, they can also be deferred.

Over the past few years the field of Machine Learning has entered the general parlance. From free massive open online courses to image recognition benchmarks being broken and decades of Atari games being mastered. During the same period developers have witnessed the release of several popular open source frameworks and libraries. The chart below shows different open source machine learning projects by initial commit date and programming language. The size represents the popularity of a project based on number of Github stargazers.

RE•WORK will host its annual East Coast events on Deep Learning and the Internet of Things in Boston on 12 & 13 May. Over 300 machine learning and IoT enthusiasts and experts will come together to hear keynote presentations, panel discussions, fireside chats and to explore the startup showcase area. The Deep Learning Summit brings together leaders from industry, academia and startups to explore advances in deep learning methods and techniques, as well as their business applications in areas including finance, manufacturing, healthcare & transportation. Confirmed speakers and presentations include: -Keynote presentation from deep learning expert Yoshua Bengio, Full Professor at Université de Montréal Professor Bengio is also Head of the Machine Learning Laboratory, Co-director of the CIFAR Neural Computation & Adaptive Perception program, and editor of many prestigious machine learning publications. Daniel is also a Research Affiliate at the MIT Media Lab.

Cylance, the company that is revolutionizing cybersecurity through the use of artificial intelligence to proactively prevent advanced persistent threats and malware, announced that its Founder, President and CEO Stuart McClure will be a speaker at the 2016 Edison Awards on April 21, 2016, in New York, NY at the New York Academy of Sciences. McClure will deliver remarks on how truly innovative technology often arises from--and may even require--a process of invention involving a high degree of risk and no guarantees of success. The company's groundbreaking artificial intelligence and machine learning based endpoint security product, CylancePROTECT, was chosen as a finalist for a 2016 Edison Award in the Security Solutions Category. The distinguished awards, inspired by Thomas Edison's persistence and inventiveness, recognize innovation, creativity and ingenuity in the global economy. "I'm honored to speak at an event named for one of the greatest inventors of all time," McClure said.

Chatbots are big news in Silicon Valley right now. "Bots are the new apps!" said Microsoft chief Satya Nadella recently, Facebook's just announced a large collection, while Wired's latest article on the subject puts the phrase "post-app internet" right up in the headline. In the short term, many chatbots are basically glorified search boxes. It's very early days, judging by the first wave of Facebook Messenger bots, which launched its chatbot platform this week. I've been chatting to six of them, and most provide information and links in response to keywords and/or selections from multiple-choice menus.

For those who are not familiar with Go, it is a 3,000-year-old game that is widely considered to be the most complex game ever invented because it is reported to have more possible board configurations than there are atoms in the universe. Until just a few months ago, it was thought that a computer could not defeat a human grandmaster for at least another decade due to the game's complexity. How did Google's AlphaGo program advance so much faster than many expected? First, it illustrates the power of the "Three Digital Accelerators" - the exponential growth of processing power (Moore's Law), bandwidth, and digital storage.

Society is reaching an automation inflection point as robotic surgery is set to introduce cost reductions and quality improvement to a sector where a highly skilled and educated workforce is the largest expense. The move comes as a demographic retirement bubble approaches. Robotics hit an inflection point in 2015, growing 43% year-over-year, a Goldman Sachs report noted. The market for robotics, however, "remain(s) in its infancy" and is set to grow from 200 million to 930 million by 2020. That growth is likely to introduce robots into surgery, and in so doing revolutionizing medical field automation.

Instead, what captured viewers attention most was Alibaba Group's artificial intelligence program, which made its global debut on the program to predict the series finalists and winner. Named "Ai," the system got every one of its algorithm-induced guesses right. I Am Singer, broadcast by Hunan TV, has been one of China's top-rated shows since its debut in 2013. During the show's four-hour season finale on Friday, Alibaba's Ai analyzed various factors in real time, such as the popularity of the songs contestants performed, their pitch and energy on stage, lyrical content and audience feedback. Meanwhile, the show's in-house audience of 500, whose vote determined the real winner, deliberated separately.