Friends, The next generation of chess is here, and it involves Quantum Mechanics. Say what? As if the game isn’t difficult enough. Quantum Chess incorporates principles of quantum mechanics, such as superposition and entanglement, into regular chess gameplay. For example, a piece can exist in two places at the same time (superposition) until the player’s opponent observes the piece by moving another piece into one of the spaces that it might occupy, collapsing the quantum field and forcing it to exist in either one location or the other. And two pieces can become entangled when one piece tries to move through another that happens to be in superposition, joining their fates. The ultimate goal of the game is to kill the opponent’s king, not to reach checkmate. This is some pretty deep stuff; check it out…
|A quick primer on Quantum Chess
||Paul Rudd vs Stephen Hawking Quantum Chess match
SOURCE – USC.edu
Friends, we all know that your ammunition choice is just as important your weapon selection. One is basically useless without the other. That said, checkout Dynamic Research Technologies (DRT) Ammunition. According to the DRT website:
The powder core technology has been around for a while. However current examples on the market do not come apart uniformly and are not very accurate. DRT™ is the first company who has figured out how to stabilize the bullet in flight to achieve high accuracy and still have full frangibility.
The Terminal Shock bullet will not come apart until it hits something liquid or something harder than itself. This bullet is barrier blind – meaning it will go through barriers like bone, sheet rock, light steel, car doors, plywood, and siding, without expanding. It will not penetrate through a person, animal, water, or hardened steel, however. Think catastrophic fluid shift…
Found a cool video review here:
Friends, numerous high-profile military veterans from the wars in Iraq and Afghanistan and Hollywood talent like Danny Trejo and William Shatner will be starring in an upcoming movie called “Range 15.” The movie, whose trailer recently debuted at the Sundance Film Festival, appears to be riddled with profanity and gallows humor, and makes it clear that veterans will be in on all the jokes. Think “Sharknado,” but with more wisecracks about the military. Perfect!
Actors shown in the trailer include Marcus Luttrell and Mat Best, recent Medal of Honor recipients Leroy Petry and Clint Romesha and Tim Kennedy, a Special Forces soldier who also competes in mixed martial arts professionally in the UFC. Brian Stann, a Marine who earned a Silver Star for valor in Iraq and fought in the UFC, also makes an appearance. The movie is funded using donations from the crowd-funding website Indiegogo. To date, “Range 15″ has raised more than $1 million while promising that “this movie is so hardcore military it makes Hollywood wet itself and run home crying to mommy.”
SOURCE – WashingtonPost.com
UPDATE – 06/09/16 – ‘Range 15’ to Premier June 15th, 2016…
An Artificial Intelligence (AI) built by Google’s DeepMind just beat a champion of the complex strategy game Go, a feat that may have enormous implications for AI research.
Go is often described as the “Chinese version of Chess,” but that description barely does the deceivingly simplistic game justice. The object of the game is to have majority control of the board. You do so by placing your white (or black) pieces (stones) on the board and using them to surround your opponent’s pieces so that they are forced to remove them. If it sounds less complicated than chess, it’s not. To put things in perspective, for each move in chess you have about 40 options. Each move on the 19-by-19 Go grid affords you 200 choices.
“There are more configurations on the board than there are atoms in the universe”
DeepMind applied machine learning with not one, but two neural networks called “Policy” and “Value.” Both look at Go’s myriad game play possibilities, but in two quite specific ways. Policy narrows the field of possible moves to a handful of promising ones, while Value looks for positive outcomes without driving all the way to every possible game conclusion. Policy network looks at some 30 million games by human Go experts to accurately predict moves up to 57% of the time. The previous record was 44%. AlphaGo essentially plays millions of games between its two neural networks and learns how to be a better Go player through trial and error and reinforcement learning.
Holy Catfish! If you are interested in reviewing the games AlphaGo played, you can see them here.
SOURCE – Mashable.com
In April 2015, teenager Collin Burns finished solving a standard-sized 3x3x3 Rubik’s Cube in only 5.25 seconds, claiming a new world record for the feat from the 5.55-second time posted by previous record holder Mats Valk. In November 2015, however, Lucas Etter once again broke the record by finishing a Rubik’s Cube in just 4.904 seconds.
Apparently though, the ability of humans to solve the 3x3x3 puzzle does not hold a candle to the ability of robots to do the same, as a pair of software engineers have created a robot that can solve a Rubik’s Cube in just over a second. The machine is built using 3D-printed frames, stepper motors, and four USB web cameras that are connected to a PC. The cameras scan the Rubik’s Cube to begin analyzing the puzzle through the Kociemba solving algorithm, and the solution is then carried out by the robot in lightning fast movements.
SOURCE – TechTimes.com