Humans have always had a complicated relationship with new "technologies." From awe to fear, centuries ago, Plato even worried that writing would adversely affect people's memories. Modernity has had a particular curiosity regarding artificial intelligence (AI). From Terminator-style killer robots to emotive humanoids, the mention of AI brings to mind the many silver screen renderings of some future civilization. More likely than any of these, however, is the reality that AI will probably turn out to be another commonplace technology that, while novel at first, will end up integrated into our everyday lives.

Researchers with MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have announced a breakthrough in cyber threat detection that promises to dramatically lower the amount of time human analysts spend sorting through information in search of evidence of cyber attacks. IT analysts spend countless hours scouring through mountains of data in order to find evidence of compromised systems. Often, the search for anomalies in data is so extensive, that overwhelmed human teams are forced to overlook potentially critical information for lack of time. That's where MIT's researchers believe they can help. In a world where most companies are under constant threat of cyber attack, having a system that never sleeps or takes a coffee break is a big help.

Maurice Stucke, a professor at the University of Tennessee College of Law and a former trial attorney with the US Department of Justice's Antitrust Division, recently received a 2016 Antitrust Writing Award for a legal article regarding artificial intelligence. The article, "Artificial Intelligence & Collusion: When Computers Inhibit Competition"--co-authored with Oxford University Faculty of Law Professor Ariel Ezrachi--discusses the challenging legal and ethical questions that are emerging as artificial intelligence development and implementation throughout society continues to develop at an accelerating rate. Artificial intelligence is "set to change the competitive landscape and the nature of competitive restraints," Stucke and Ezrachi write. "We are shifting from the world where executives expressly collude in smoke-filled hotel rooms to a world where pricing algorithms continually monitor and adjust to each other's prices and market data." Stucke and Ezrachi have frequently collaborated on intersectional issues concerning law and technology.

IBM is reportedly going to combine Blockchain's distributed ledger technology with its artificial intelligence system Watson to make the billions of smart devices in an emerging world of Internet of Things work safer and smarter. According to a lengthy article in CoinDesk written by Michael del Castillo IBM is still in prototype phase in developing this project that brings together the company's Internet of Things Foundation and Watson divisions to create the Watson Internet of Things group. The project is being overseen by IBM's chief architect in charge of Internet of Things security Tim Hahn who told CoinDesk that the possibilities of the collaboration of artificial intelligence, IoT and Blockchain were huge. "What we're doing with blockchain and devices is enabling the information those devices supply to effect the blockchain. You begin to approach the kind of things we see in movies."

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

When it comes to cybersecurity, it would appear that the best offense is a good defense, and by and large we have neither. Following a damning report of the U.S. government's capabilities when it comes to online security and the emergence of yet another dangerous piece of malware that has already stolen some 4 million from dozens of banks and financial institutions, our digital defenses look to be down and out. But a new solution from the Massachusetts Institute of Technology may be our saving grace. In a new paper, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) unveil an artificial-intelligence platform called "AI squared" that claims to predict cyberattacks "significantly better than existing systems by continuously incorporating input from human experts." Combining the capabilities of humans and machines, AI-squared was shown to detect an impressive 85 percent of attacks, which represents a threefold improvement over previous benchmarks.

Restoring mobility to people living with paralysis is one of the great challenges of modern medicine, and until recently, it remained more of a hope than reality. But in a pioneering clinical study, scientists may have finally crossed the frontier. They've developed a cutting-edge new technology that -- for the first time -- has allowed a human with paralysis to move his hand again, a breakthrough described in a study published Wednesday in the journal Nature. The technology is the product of a decade's work involving close collaboration among experts in neurology, physiology and engineering. SEE ALSO: Scientists find 13 genetic'superheroes' resistant to severe childhood illnesses The result is a complex "neural bypass" system that's able to decode brain waves and use them to control a muscle stimulator that empowers movement in a paralyzed limb.

Recognizing emotions in facial expressions is relatively straightforward for humans, and in recent times machines are getting better at it too. The applications of emotion-detecting computers are numerous, from improving advertising to treating depression, the possibilities are limitless. Motivated mainly by the impact in mental health that such technology can have, I started building my own emotion recognition technology. In a previous post I described a quick test in which I used ideas drawn from research on how facial expressions are decomposed. In this simplified scenario a computer distinguished between sad and happy faces by detecting facial landmarks (points of eyes, mouth, etc …) and using one simple geometric feature of the mouth (representing a Lip Corner Puller).

If its latest video is anything to go by, Magic Leap's technology is going to be a very big deal in the augmented reality arena, placing interactive digital objects in the real world. The hardware is yet to be revealed (but it'll presumably use a headset). This video, and previous footage, takes place entirely from the wearer's point-of-view. The mysterious Google-backed startup released a video in March that showcased an augmented-reality video game that involved shooting virtual robots that appeared in the wearer's real-world environment, as opposed to virtual-reality that takes place in a fully digital environment. At the time, the seamlessness of the video led to speculation that it was just a concept, or had been doctored in some way.

Over time, Caroline's focus has morphed from tweaking staffing schedules and other operational details to influencing clinical decisions. His group is developing a portal that uses machine learning and natural-language processing to push information to physicians and researchers about which patients may qualify for one of the hundreds of clinical trials under way at the hospital at any given time. Of course, plenty of companies are eager to mine health care data, from startups to IBM. But Caroline's team has unfettered access to raw data and expertise that outsiders must beg to receive. When engineers in his group are stumped on how to write an algorithm that properly classifies triple-negative breast cancers, they catch a shuttle to the hospital's main campus and consult with physicians.