You might be interested in my latest interview with Natasha Vita-More, transhumanist writer and executive director of Humanity+, covering human augmentation, the world transhumanist movement and whole-body prosthetics.
I interview Natasha Vita-More, a transhumanist thinker who wrote the ‘Transhumanist Statement’ and is the Executive Director of Humanity+, formerly the World Transhumanist Association.
A biometric data privacy suit against Clearview AI will move forward, and in the District Court for Northern Illinois, as requested by the plaintiff, after a pair of rulings by Judge Sharon Johnson Coleman reported by Law Street Media.
There are two separate BIPA cases currently ongoing against Clearview, known by their plaintiffs Hall and Mutnick. Mutnick filed a motion for a preliminary injunction several months into the case, and says in a clarified motion for reassignment that it is seeking to have Hall v. Clearview AI, Inc., et al. moved to Illinois, and that plaintiff Hall agrees with the motion.
Clearview had filed a motion to stay the proceedings pending decisions on its motion to dismiss based on personal jurisdiction, and to move the case to the Southern District of New York, where the company is based. In New York, Chief Justice Colleen McMahon said that because the suit applies an Illinois state law and includes class members based on their Illinois residence at the time of the alleged violation, it is not clear that the cases belong in New York district court.
Artificial intelligence is everywhere, from the robots manufacturing cars in factories to the smartphone in your pocket, and understanding what AI actually is will give you a better understanding of the technology that surrounds us.
Professor Mark Lee is a computer scientist at Aberystwyth University. His new book, How to Grow a Robot, is all about how to design robots and artificial intelligence so that they are more social, more friendly, more playful – more human.
Whether you’re a beginner or deep into all things AI, as an expert in artificial intelligence, Mark’s pick of science books about machine learning and intelligent algorithms will have you thinking in ones and zeros in no time.
Ever wondered what AI could be used for in games? We sure have. A lot. There are hundreds, if not thousands, of possible use cases for machine learning and artificial intelligence in game development. Yet despite letting our imaginations run wild, we are still blown away by what a team of researchers from Nvidia have achieved today: a functioning AI that can replicate Pac-Man with nothing more than pixels and key presses.
The generative adversarial network (GAN) outlined in the research paper, nicknamed GameGAN, is capable of taking pixel and input data from a videogame and recreating a like-for-like carbon copy. It does so without an underlying engine—the AI actually generates a new frame for every on-screen event based on those before it, player action, and a hint of environmental randomness.
Its first task was building the videogame classic Pac-Man—today marks the videogame’s 40th anniversary. Don’t be deceived by its simplistic appearance, either. Even a game such as Pac-Man, which is a far-cry from the complexity of today’s AAA titles, makes for a daunting task. That’s because in order to build the game the AI must first understand its rules.
“I do believe there’s great potential to bring in artificial intelligence to provide early warning of future problems” such as disease outbreaks, Air Force Lt. Gen. John N.T. “Jack” Shanahan, director of the Pentagon’s Joint Artificial Intelligence Center, said in an interview.
Artificial intelligence could spot and track earlier outbreaks of disease around the world, the Pentagon’s AI chief says as he retires from service.
In order to find and treat cancerous tumors, a team of scientists is working on an aggressive new approach that involves a swarm of tiny, cancer-killing robots.
The idea is to inject the nanobots, which are engineered to look and travel like white blood cells, into a patient’s veins and move them around inside the body with powerful magnets.
“Our vision was to create the next-generation vehicle for minimally invasive targeted drug delivery that can reach even deeper tissues inside the body with even more difficult access routes than what was previously possible,” Metin Sitti, Director of Physical Intelligence at the Max Planck Society, said in a press release.
The US Navy has installed its first Optical Dazzling Interdictor, Navy (ODIN), a laser weapon designed to counter unmanned aerial systems (UAS).
The first ODIN laser system was installed on the Arleigh Burke-class guided-missile destroyer USS Dewey during a recent dry-docking.
Unlike hard-kill laser systems already deployed by the US Navy on vessels, ODIN uses a dazzling laser to confuse systems sensors and cameras or, in manned systems, potentially cause glare in a pilot’s vision.
The U.S. Army is working on a new artillery shell capable of locating enemy targets, including moving tanks and armored vehicles. The shell, called Cannon-Delivered Area Effects Munition (C-DAEM), is designed to replace older weapons that leave behind unexploded cluster bomblets on the battlefield that might pose a threat to civilians. The shell is designed to hit targets even in situations where GPS is jammed and friendly forces are not entirely sure where the enemy is.
