The first patient living with Elon Musk's Neuralink'brain chip' implant wants the world to know how'amazing' and'rewarding' his clinical trial with the tech has been. Just four months ago, 30-year-old Noland Arbaugh went under the knife for the experimental surgery that would allow him to control computers with his mind. 'I'm really excited to keep going,' Arbaugh, who has been paralyzed from his neck's fourth vertebra down since college, said of his role in Neuralink's human trial. But while the tech company's brain-computer interface has allowed him to race his stepfather in Nintendo's Mario Kart, navigate a computer cursor and more -- all with just his thoughts alone -- technical hurdles still plague the brain chip's functioning. A report on Arbaugh's Neuralink trial said that approximately 85 percent of the chip's tendril-like connections to his brain have come loose, forcing Neuralink staff to retool the system on its software side, as FDA approves trials on a second patient.

Together, the consumerization of AI and advancement of AI use-cases for security are creating the level of trust and efficacy needed for AI to start making a real-world impact in security operation centers (SOCs). Digging further into this evolution, let's take a closer look at how AI-driven technologies are making their way into the hands of cybersecurity analysts today. After years of trial and refinement with real-world users, coupled with ongoing advancement of the AI models themselves, AI-driven cybersecurity capabilities are no longer just buzzwords for early adopters, or simple pattern- and rule-based capabilities. Data has exploded, as have signals and meaningful insights. The algorithms have matured and can better contextualize all the information they're ingesting--from diverse use cases to unbiased, raw data.

In the movie Guardians of the Galaxy, the Yaka arrow, when shot by the Yondu Udonta, goes through a bunch of people in a flash; the weapon is highly responsive to certain high-octave whistle commands, which cause it to change trajectory as needed, return to the holster promptly or even combust into a fiery explosion on command. Real life Artificial Intelligence drone technology is making possible the deployment of autonomous weapons that could do pretty much the same and more. It will take some time to see whether robots of the future steal all our jobs, but drones are already stealing the march on the future of war. Based on common understanding, it has almost become natural to visualise a robot as having a human-like form, fighting off enemies. But essentially, drones are robotic machines that are capable of executing specific tasks with little or no human intervention, with speed and precision.

Minimally invasive surgeries in which surgeons gain access to internal tissues through natural orifices or small external excisions are common practice in medicine. They are performed for problems as diverse as delivering stents through catheters, treating abdominal complications, and performing transnasal operations at the skull base in patients with neurological conditions. The ends of devices for such surgeries are highly flexible (or "articulated") to enable the visualization and specific manipulation of the surgical site in the target tissue. In the case of energy-delivering devices that allow surgeons to cut or dry (desiccate) tissues, and stop internal bleeds (coagulate) deep inside the body, a heat-generating energy source is added to the end of the device. However, presently available energy sources delivered via a fiber or electrode, such as radio frequency currents, have to be brought close to the target site, which limits surgical precision and can cause unwanted burns in adjacent tissue sections and smoke development.

With the amazing performance of AlphaGo beating the best Go player in the world, Lee Sedol (and Lee also striking back), Google DeepMind's next game to tackle has been the talk of the town. This doesn't surprise me at all, as StarCraft is the most strategically deep competitive video game in the world. It is really the natural next step after Chess and Go. While Chess, and especially Go, are known as games with near infinite possibilities on the ways that they can play out, StarCraft should be even harder to create an AI for. With three distinct races and countless professionally played maps, it already seems extremely tough.