They say 10,000 hours makes an expert, but for video-game playing AIs much more is needed. After playing thousands of years’ worth of the video game Dota 2, artificial intelligence is now able to beat the world’s top amateurs.
Dota 2 is a multiplayer battle arena game. Two teams of five take on each other across a large map, defending their own base whilst trying to attack their opponents. It is the game that has the largest prize money of any e-sport, so there are many professional players able to play at a very high level.
Autonomous vehicles aren’t perfect, so to help upgrade their intelligence and prevent fatal accidents, Nvidia created the DGX SuperPod, an AI-optimized supercomputer that will help design a better self-driving car.
Occasionally we come across a piece of information which reminds us that, while flying cars are still nowhere to be found, we’re definitely living in the future. Usually it’s about some new application of artificial intelligence, or maybe another success in the rapidly developing field of private spaceflight. But sometimes it’s when you look at a website and say to yourself: “Oh cool, they have 1.5kW electromagnetic accelerators in stock.”
Arcflash Labs, a partnership between [David Wirth] and [Jason Murray], have put their EMG-01A Gauss gun up for sale for anyone who’s brave enough and willing to put down $1,000 USD on what’s essentially a high-tech BB gun. The creators claim it obtains an efficiency of 6.5% out of its RC-style 6S LiPo battery pack, which allows it to fire over 100 rounds before needing to be recharged. Firing 4.6g steel projectiles at a rather leisurely 45 m/s, this futuristic weapon would be more of a match for tin cans than invading alien forces, but at least you’ll be blasting those cans from a position of supreme technical superiority.
The EMG-01A builds on the work of the team’s previous experiments, such as the semi-automatic railgun we covered last year. They’ve made the device much smaller and lighter than their previous guns, as well as worked on making them safer and more reliable. That said, the page for the EMG-01A has a number of warnings and caveats that you won’t see on the back of a Red Ryder BB gun box; it’s certainly not a toy, and anyone who takes ownership of one needs to be respectful of the responsibility they’re taking on.
There are certainly ways to use AI to reduce the collateral damage and harms of war, but fully autonomous weapons would also usher in a host of new moral, technical, and strategic dilemmas, which is why scientists and activists have pushed the United Nations and world governments to consider a preemptive ban. Their hope is that we can keep killer robots in the realm of science fiction.
We have the technology to make robots that kill without oversight. But should we?
“Our voices help connect us to our friends, family and the world around us, which is why losing the power of one’s voice due to injury or disease is so devastating. This could happen due to various reasons such as ALS [amyotrophic lateral sclerosis] or stroke,” resulting in what is known as “locked-in-syndrome,” he added.
“Our ultimate goal is to develop technologies that can decode the internal voice of a patient who is unable to speak,” said Mesgarani.
Such innovations also mean better brain-computer interfacing, which would open up whole new platforms for man-machine communication, he added.
Is it possible to understand the brain? Science is still far from answering this question. However, since researchers have started training artificial intelligence on neurobiological analyses, it seems at least possible to reconstruct the cellular structure of a brain. New artificial neural networks developed by the Max Planck Institute of Neurobiology and Google AI can now even recognize and classify nerve cells independently based on their appearance.
The human brain consists of about 86 billion nerve cells and about as many glial cells. In addition, there are about 100 trillion connections between the nerve cells alone. While mapping all the connections of a human brain remains out of reach, scientists have started to address the problem on a smaller scale. Through the development of serial block-face scanning electron microscopy, all cells and connections of a particular brain area can now be automatically surveyed and displayed in a three-dimensional image.
“It can take several months to survey a 0.3 mm piece of brain under an electron microscope,” says Philipp Schubert, doctoral student in Winfried Denk’s Department at the Max Planck Institute of Neurobiology. “Depending on the size of the brain, this seems like a lot of time for a tiny piece. But even this contains thousands of cells.” Such a data set would also require almost 100 terabytes of storage space. However, it is not the collection and storage but rather the data analysis that is the difficult part.
