Google acquired Kifi, an app for collecting links from across the Internet, which teams could then collaborate on. No financial terms of the deal were disclosed. The Kifi service and data will not become part of Google. The service will remain fully functional for existing users for a few more weeks, before its shut down. The company is no longer accepting new registrations. The team at Kifi will be joining the Spaces team at Google.

Editor's note: Dallas police actively guided an explosive-laden robot to kill gunman Micah Johnson when negotiations broke down after he opened fire on police and others July 7. This interview on Think -- which was recorded before the ambush took place -- focuses on the questions raised by computers and robots programmed to kill without human supervision. You may have seen it earlier this year when a company called Boston Dynamics posted a video of a humanoid robot that can walk on two legs, even over uneven terrain. Seeing a machine balance on bumpy, snowy ground in a New England forest is mesmerizing. But watching the robot get knocked to the ground by a human tester, then get up all by itself and keep going is somehow profoundly unsettling.

Microsoft CEO Satya Nadella said on Monday that chatbots will "fundamentally revolutionize how computing is experienced by everybody." Nadella explained that for now, bots will augment apps, but in time, human language will be taught to all computers and become "the new interface." "So pretty much everyone today who is building applications whether they be mobile apps or desktop apps or websites will build bots as the new interface, where you have a human dialogue interface versus menus of the past," he said. Nadella spoke onstage at Microsoft's Worldwide Partner Conference, an annual developer gathering in Toronto. He painted a similarly ambitious picture in April when Microsoft Bot Framework was launched at Build, Microsoft's annual developer conference.

During the company's Worldwide Partner Conference, Microsoft has unveiled its upcoming plans to provide online degrees that cater to the demands of highly competitive technological fields. Officially launched as the Microsoft Professional Degree (MPD) program, the first course offered to interested professionals and fresh graduates alike, mainly focuses on skill development and education through a Data Sciences curriculum. "Recognizing a shortage of qualified individuals to fill the growing need for data scientists, Microsoft consulted with education and industry partners to develop a curriculum concentrated on developing the skills and real world experience these new roles require," says Microsoft. This specific MPD program features courses that educate incoming applicants on how they can visualize and implement data in Microsoft Excel and Power BI, as well as supplemental (and needed) skills in R and Python programming language, statistics and machine learning. "At Microsoft, we believe the approach and tools used for learning need to continually evolve to meet the demands of our device-centric and data-driven world," said Alison Cunard, the general manager at Microsoft Learning Experiences.

You can watch the Azure ML tutorial video at the landing page to have a quick overview about the Azure ML service. This will open the page where we will develop our Azure ML experiments in the next labs.

Advancements in AI were recently spotlighted by AlphaGo, a computer program developed by Google's DeepMind team. The program -- which relies on decision-making algorithms and neural networks -- defeated a human European champion at the board game Go in a feat previously believed to be years away. On the investor side, Jim Breyer of Breyer Capital has said AI will deliver massive returns for investors betting on applications for industries including healthcare and entertainment. With this in mind, we used CB Insights' database to look at funding to artificial intelligence startups since 2010. Our artificial intelligence category covers startups primarily focused on developing AI, across areas including image processing, natural language processing, machine learning, deep learning, and predictive APIs, among other core applications.

A researcher at Arizona State University has discovered how to control multiple robotic drones using the human brain. A controller wears a skull cap outfitted with 128 electrodes wired to a computer. If the controller moves a hand or thinks of something, certain areas light up. "I can see that activity from outside," said Panagiotis Artemiadis (pictured above), director of the Human-Oriented Robotics and Control Lab and an assistant professor of mechanical and aerospace engineering in the School for Engineering of Matter, Transport and Energy in the Ira A. Fulton Schools of Engineering. "Our goal is to decode that activity to control variables for the robots."

In the last few months the Internet has been flooded with deep dreams: images augmented by neural networks which look incredibly trippy. Deep dreams have the potential to become the new fractals; beautifully backgrounds everyone knows are related to Maths, but no one knows really how. What are deep dreams, how are they generated and what can they teach us? A neural network gets an image as an input, and returns a classification result: yes, that's a face. It achieves this by recognising features in an hierarchical fashion.

Teachers are not ends-in-themselves, they are always a means to an end - improvements in the learner. Given this premise, could it be possible to eventually replace teachers with AI technology? This may not happen soon but let's, as a thought experiment, ask whether it could. Obvious points are that AI is 24/7, fast, scalable and cheaper. This gives it a head start.

WALTHAM, MA--(Marketwired - Jun 23, 2016) - CloudLock, the leading provider of Cloud Access Security Broker (CASB) and Cybersecurity-as-a-Service solutions, today announced the release of the next generation of its innovative machine learning capabilities to include suspicious login activity monitoring, location-based anomaly detection, and IP reputation analysis to identify anomalies, zero in on suspicious behavior, and pinpoint true threats across SaaS, IaaS, PaaS, and IDaaS cloud platforms. The inability to detect real threats from millions of alerts they receive daily as well as the lack of timely response capabilities are the greatest challenges facing security teams today. Pioneered by CloudLock's research intelligence arm, the CyberLab, machine learning capabilities are the foundation of the Cloud Security Fabric, helping security teams narrow their focus on user activities indicative of true threats. Using the company's Cloud Threat Funnel methodology, along with big data technologies and multiple advanced clustering algorithms, CloudLock's machine learning technology continuously evolves based on analyzing the industry's largest data set spanning over one billion files and events monitored daily. CloudLock's expanded machine learning capabilities include: Suspicious Login Activity Monitoring captures high frequency login anomalies, such as login failures and login challenges from unusual devices, geographies and time periods for a given user, indicate potential threats to corporate user accounts.