But that is not to say it is perfect by any stretch of the imagination. "Deep learning has led to some big advances in computer vision, natural language processing, and other areas," Tommi Jaakkola, a Massachusetts Institute of Technology professor of electrical engineering and computer science, told Digital Trends. "It's tremendously flexible in terms of learning input/output mappings, but the flexibility and power comes at a cost. That is it that it's very difficult to work out why it is performing a certain prediction in a particular context." This black-boxed lack of transparency would be one thing if deep learning systems were still confined to being lab experiments, but they are not.

Google has built machine learning systems that can create their own cryptographic algorithms -- the latest success for AI's use in cybersecurity. But what are the implications of our digital security increasingly being handed over to intelligent machines? Google Brain, the company's California-based AI unit, managed the recent feat by pitting neural networks against each other. Two systems, called Bob and Alice, were tasked with keeping their messages secret from a third, called Eve. None were told how to encrypt messages, but Bob and Alice were given a shared security key that Eve didn't have access too.

More chatbots will begin to solve real-world problems. In many instances, early chatbots seemed more like technologies in search of problems than customer-centric solutions. As the chatbot hype subsides, technologies mature, and companies get feedback from customers, the problems that chatbots tackle will become more obvious, and, in turn, more valuable. An example is our own ReplyYes' The Edit, which endeavors to solve the problem of product discovery for music lovers. Through a use of progressive disclosure, short keyword interactions, and machine-based curation of vinyl albums, we give customers a personalized and serendipitous experience to help them find music they love.

The Queensland government has announced amended legislation that now allows the state's farmers to use drones to spray their crops. Acting Agriculture Minister Bill Byrne said the changes to the Agricultural Chemicals Distribution Control Act 1966 and the regulations that underpin it will give Queensland farmers access to the most "innovative aerial spraying technology" available. "The government is keen to give our producers all the advantages made available by advances in technology," Byrne said. "The improvements to the legislation provide Queensland producers with cost effective options for crop protection." Byrne expects the technology to be especially useful for chemical application in areas with limited access or difficult terrain, noting that where conventional equipment cannot be used, spraying from an unmanned aerial vehicle (UAV) represents a safe and effective option.

Donald Trump's election victory is seen as a blow to Silicon Valley, putting the presidency in the hands of a vocal critic of several big technology companies and an advocate of policies tech executives have said could hurt the industry's development. During his campaign, Mr. Trump didn't offer a specific plan for how he would tackle technology policy -- unlike his Democratic opponent Hillary Clinton, who in June issued a detailed tech platform that executives broadly applauded. Meanwhile, Mr. Trump's advocacy of tighter limits on immigration and trade alarmed an industry that prizes high-skilled immigrants and gets most of its revenue from overseas. The electorate's endorsement of Mr. Trump's populist message, which broadly blamed elites for the problems of many disaffected Americans, could also spell trouble for Silicon Valley, which has spawned companies that delivered far more in profits and stock-market valuations than they have jobs for middle-class workers. Mr. Trump took aim at several big names in technology during the campaign.

GoPro's Karma drone is being recalled. Just last week, GoPro reported a 40 percent decrease in third-quarter revenue. Still, the company's Founder and CEO Nicholas Woodman was optimistic that new products could help GoPro return to profitability next year. "These are the best products we've ever made and consumer demand is strong. GoPro is now a seamless storytelling experience and we're very happy with customer reception so far," Woodman said in a press release.

Efforts to understand suicide risks can be roughly clustered into traits or states. Trait analyses focus on stable characteristics rooted in and measured using biological processes (Costanza et al., 2014; Le-Niculescu et al., 2013), whereas state analyses measure dynamic characteristics like verbal and nonverbal communication, termed "thought markers" (Pestian et al., 2015). Machine learning and natural language processing have successfully identified differences in retrospective suicide notes, newsgroups, and social media (Gomez, 2014; Huang, Goh, & Liew, 2007; Matykiewicz, Duch, & Pestian, 2009). Jashinsky et al. (2015) used multiple annotators to identify the risk of suicide from the keywords and phrases (interrater reliability .79) in geographically based tweets. Thompson, Poulin, and Bryan (2014) and Desmet (2014) used text-based signals to identify suicide risk that ranged from 60% to 90%.

The lab they have created has also had some big wins, not only for them, but also for the networks on which their phones run. For instance, their work has helped carriers across the world to reduce their pay-as-you-go customer churn rate from 10% to 6%. They have been working on a machine learning driven network control system, which will achieve automated network traffic control. 'Tests indicate that Network Mind is up to 500% more efficient in realizing KPIs such as task completion or policy generation compared to existing template or heuristic algorithm-based optimization methods. Network Mind is also over 50 times more efficient when analyzing paths of large optical networks, which has the potential to reduce the time it takes to analyze use cases such as optical network failure prevention from 5 hours to as little as 6 minutes.'

Disney has been trying to diversify its entertainment offerings for some time now. Two years back, the company applied for and was granted a patent for using drones to carry screens and pyrotechnics. Now, on Monday, Disney announced that it had been given permission from the Federal Aviation Administration (FAA) to use these drones. Disney drones, which would be programmable and semi-autonomous, will direct the formations such as displaying pixels in a giant TV screen formation in the sky. The approval from FAA, which granted Disney a waiver from existing laws controlling drone movement, is not permanent and can be revoked at anytime. It is valid for a period of four years and the company must use authorized remote pilots and prevent the drones from flying uncontrolled over guest-occupied areas.

As an experienced voice actor in video games, Sunil Malhotra has exerted his vocal cords to the breaking point while performing blood-curdling screams and monster grunts for numerous titles including the popular "Diablo" and "X-Men" series. "I've lost my voice for weeks at a time. I had to see a speech therapist to get my voice back," the Los Angeles-based actor said. "If I don't have my voice, I don't function as an actor." Malhotra, 41, was one of more than 300 protesters who gathered Thursday at Warner Bros. in Burbank as part of the ongoing SAG-AFTRA strike against several major video game companies.