Category Archives: Chess Engine
This is a strong open source chess engine which is offered for free, and is available for both desktop and mobile platforms.
Stockfish has consistently ranked number one or near the top of most chess engine rating lists, and is one of the strongest open-source engines worldwide. It uses up to 512 CPU cores in multiprocessor systems, with a maximal transposition table size of 1 terabyte.
Features include an alpha-beta search, bitboards, great search depth because of more aggressive pruning and late move reductions, and support for Chess960, plus much more.
The program comes from the Glaurung, an open-source chess engine released first in 2004, and four years later, Costalba took over and renamed it Stockfish because it was produced in Norway and cooked in Italy Costalba is Italian, and Romstad (creator of Glaurung) is Norwegian.
Stockfish is powerful and much stronger than the best human chess grandmasters. Unlike most chess engines, it is open source (GPL License), so you can read the code, modify it, contribute back and use it in your own projects.
You can also run it anywhere, including Windows operating system and on your smart devices, so you can get world-class chess analysis wherever you are.
Get Stockfish chess software
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5 best software to analyze chess games in 2019 - WindowsReport.com
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The Stockfish engine was developed by Tord Romstad, Marco Costalba, and Joona Kiiski. It is now being developed and maintained by the Stockfish community.
Stockfish for Mac was built by Daylen Yang. Stockfish for iOS was built by Tord Romstad.
The Stockfish project started with the open source Glaurung engine, authored by Tord Romstad. In November 2008, Marco Costalba forked the Glaurung 2.1 code and introduced Stockfish 1.0. Tord and Joona Kiiski joined the Stockfish project and the Glaurung project slowly faded away. Meanwhile, Stockfish quickly rose to become the strongest open source chess engine, with frequent updates every few months. Today, it remains one of the strongest engines in the world.
This website was built by Daylen Yang. The Stockfish icon was designed by Klein Maetschke.
Stockfish is free, and distributed under the GNU General Public License Version 3 (GPLv3). Essentially, this means that you are free to do almost exactly what you want with the program, including distributing it among your friends, making it available for download from your web site, selling it (either by itself or as part of some bigger software package), or using it as the starting point for a software project of your own.
The only real limitation is that whenever you distribute Stockfish in some way, you must always include the full source code, or a pointer to where the source code can be found. If you make any changes to the source code, these changes must also be made available under the GPL.
For full details, read the GPL.
About - Stockfish - Open Source Chess Engine
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Chessdom | Chess, chess news, live chess games
Chess engines are the brains of any chess program. Most modern engines come as separate entities to be added to your favorite GUI (Graphical User Interface). This post is aimed at helping you get some free chess engines and prepare them to install in your favorite GUI. Ill cover the GUI installation in separate posts.
How do you know what engines are the best?
Here is a list of the top rated free engines. http://www.computerchess.org.uk/ccrl/4040/rating_list_pure_free.html
Where can I get these engines? Well you can Google them by name. Komodo Chess Engine for example. Just Google Komodo and youll get a lot of links to the lizard.
Below are links to the current top three free engines. After you download them. You will need to unzip them. I recommend keeping them in their own folder. First I would make a folder called chess engines somewhere easy to find. Because you may want to use these engines in more than one program. Example c:chess enginesFire5
The engines will often come in 32 bit and 64 bit versions. They may have both versions inside the zipped file. If you have to select at the time of download you need to know which kind of computer you have. This is how you can tellhttps://www.computerhope.com/issues/ch001121.htm.
So there may be a x32 (32 bit) version a x64 (64 bit) version. Also you may see bmi2 and popcnt versions. These additional versions are compiled to take advantage of special features built into specific microprocessors. The speed gained by running these versions are small but feel free to try them. If they dont run just switch back to the plain version. The BMI version may require changing settings in your computer bios. If you you want to do that here is a thread on that topic.http://www.chess2u.com/t10505-bmi2-or-popcnt
All about chess engines. https://en.wikipedia.org/wiki/Chess_engine
Chess Engines Chess Tech
Yehudah Goldfeder of Monsey, New York: Intrigued by Artificial Intelligence
In the coming weeks, Yeshiva University will welcome hundreds of new students to its undergraduate campuses from across the United States and countries around the world.Meet the incoming class as they share in their own words what excites them about beginning their academic journeys at YU at this yearsOrientation.
Where are you from?
I am from Monsey, New York.
Why did you decide to come to Yeshiva University?
Many factors contributed to my decision. I am the youngest in my family, and I have four older siblings, all of whom attended Stern College for Women or Yeshiva College, as did my father. My mother is a graduate of YUs high school for girls as well. Thank God, all of them have successful careers in their various fields. Those who went to grad school all got in to the school of their choice.
But to be honest, none of that is the real reason Im going to YU. I feel that it is important to forge ones own path in life. In truth, the reason I chose YU is because it was the best option available. I am fully committed to living an authentic Torah lifestyle, with all that it entails, while at the same time being an active and important participant in the modern world. I think that in YU Ill be able to maintain a real, rigorous learning schedule. Additionally, I am firmly convinced of the importance, perhaps necessity, of having a bona fide mentor to guide me along my path, and YU boasts a wide array of roshei yeshiva and rebbeim who can cater to a large spectrum of students individual needs. I still want my secular education to be a priority as well, and I think that YU will be able to cater well to this dual need.
What are you looking forward to at YU?
I plan on studying computer science, which has long been a passion of mine. It started as a hobby when I was eight or nine, and developed over time into one of my favorite subjects. I particularly have an interest in artificial intelligence that is getting machines to behave like intelligent, rational agents. Ive done a lot of self-study on that topic, like programming a chess engine (that plays better than I do) in C++ and learning the basics behind machine learning and artificial neural networks. I was specifically motivated by the groundbreaking Alphago, the first program to do the impossible and beat an elite Go player.However, computer science is a wide field and I find many topics in it interesting and worthy of exploration. I am very excited to finally get a formal education so that I can further my knowledge and my goals.
I also enjoy math and look forward to furthering my education there too. Writing has always been a hobby of mine, and I have written several large manuscripts of novels. Ive always felt that I have potential to be a good writer, and I am excited to explore that subject as well. The extracurriculars also seem exciting. I havent decided on exactly what Ill do (although I have some ideas in mind), but I am certain that aside from studying, Ill have plenty of fun.
As Ive mentioned, as well, I am very excited to benefit from the rebbeim here. Having a kesher, a relationship, with a rebbi where I can ask questions outside of the gemara, whether on general hashkafa or my personal life, is very important to me. I am also part of the MasmidimHonors Program, and it is my hope that those in charge of the program will guide me to be the best Jew I can be. I would love to learn as much as I can, in all topics related to yahadut[Judaism].
What are you passionate about?
I enjoy reading a lot. There are various genres I read, although Ill admit I have a soft spot for epic fantasy. I also enjoy building things with my hands, such as wood models, and I have a brown belt in karate.
What are you hoping to do professionally?
Hard to say exactly. Obviously I feel it will be computer-related, but to be totally open and honest, that could change in three years from now. I could see myself in many different roles, which is one of the reasons I am so happy to explore different topics.
Meet YU's Incoming Class - Yu News (blog)
By Catherine Graham
The player approaches the ball and prepares to score the goal. The crowd waits anxiously.
The player isn't David Beckham or Cristiano Ronaldoit's a small, blue EduMIP mobile robot. And it's not the final moments of the World Cup. Instead, it's a robotics demonstration in a lab on the campus of Johns Hopkins University Whiting School of Engineering.
While the stakes aren't quite as high, these demonstrations are still nerve-wracking for students in the graduate-level Robot Systems Programming course.
"Not all the demos work out perfectly, and that's OK. But you have to try," said Louis Whitcomb, chair of the Department of Mechanical Engineering who created and has taught the course for the past four years. Despite many hours of planning, building, and testing the robots, students know that at any given moment, things may not go as planned.
Students in his course spent the last five weeks of the spring semester building and programming their own independent robotic projects. Whitcomb provides equipment and instruction but encourages students to experiment and set their own project goals. On Monday and Tuesday, 12 student teams demonstrated their robots in labs across the Homewood campus.
Students Andrew Dykman, Saurabh Singh, and Allen Jiang built a system that allows five separate EduMIP robots to communicate, move into a swarm formation, and work together to achieve complex tasks. During the demonstration, the team explained how, with some fine tuning, this technology could have many real-world applications.
"Take, for example, self-driving cars," Dykman said. "If every car on the road is running automated systems and communicating with cars around it, we could move cars at a higher speed without crashing, or reduce traffic jams by eliminating human errors."
For their project, students Kevin Yee and Nicole Ortega decided to take a favorite pastime to the next level.
"We know people already like to play chess against a computer, so we wanted to see what it'd be like to play chess against a robot," Yee said.
The pair created a platform that allows users to play chess against a chess engine on a physical board. They built a mobile robot, equipped with an end effector, that can make strategic moves and place chess pieces on target locations. According to Ortega, the robot usually wins.
Other demos included robots that can locate a soccer ball and score goals, a ball-catching robotic arm, a "self-standing" robot that can leap across obstacles, a team of robots that can map a location, and autonomous quadcoptors.
The Robot Systems Programming course gives students the tools to create their own unique vision of what a robot can do. Some will graduate next week and enter the field, and some will continue graduate work in robotics. Either way, Whitcomb said he hopes his students will use these skills to continue to explore what's possible in robotics.
"This course is intended to be a capstone experience for our advanced undergraduate and graduate robotics students," he said, "in which they use and apply the knowledge they have learned in the mathematics, engineering, and physics of robotics to develop real-world robots that can sense and interact with people and the world."
The rest is here:
See bots run - The Hub at Johns Hopkins
The Sublime Moves Of America's New Chess Champion
So found the best move, according to the computer chess engine Stockfish: sacrificing his knight on the f2 square. It's far from obvious to a human sitting alone without technological aid, however. Commentators called the gambit very beautiful ...
Read the original:
The Sublime Moves Of America's New Chess Champion - FiveThirtyEight
The rest is here:
Chess AI, Old School - Hackaday
Back in 1997,Garry Kasparov, a chess grandmaster as the world knows him, was defeated byIBMs Deep Blue artificial intelligence (AI) computer. It was down hill from there for human chess players all over the world as AI machines began improving at an alarming rate.
Komodo, a chess engine with an Elo rating of 3304 (450 points higher than Kasparov) was next in line to prove that computers are far superior when it comes to head to head chess matches.
This is partially due to Moores Law, which states that the number of transistors per square inch on integrated circuit board doubles year on year, allowing for greater computational power. This statement was originally made byIntel co-founder Gordon Moore in 1965 and holds up today.
Another reason for the demise of human chess players is the softwares ability to brute force its way through millions of possible scenarios in a matter of seconds. But recently, one scenario has these computers stumped.
[Image Source: Lichess]
The scenarioconsists of a chess board layout as per the image above. The human player is required todefeat or draw against the computer while playing as whites.(You can play an online simulation of the chess puzzle here.)
The puzzle, released by the Penrose Institute, was recently devised in order to study human consciousness through physics. The Penrose Institute founder, Sir Roger Penrose, Emeritus Professor at the Mathematical Institute of Oxford, devised the puzzle to distinguish between human and artificial intelligence machines. The puzzle is said to be solvable by humans but not by AI software.
If you put this puzzle into a chess computer it just assumes a black win because of the number of pieces and positions, but a human will look at this and know quickly that is not the case, said Sir Roger.
Penrose shared the World Prize in physics with Professor Stephen Hawking in 1988 for his work on black hole singularities.
Co-Founder and Director of the Penrose Institute, James Tagg said We plugged it into Fritz, the standard practice computer for chess players, which did three-quarters of a billion calculations, 20 moves ahead,
It says that one-side or the other wins. But, Tagg continued, the answer that it gives is wrong.
What makes the puzzle so unique, is the odd choice of a third bishop. This forces the AI software out of its comfort zone, with an endless amount of possible moves. It also begs the question, is it actually possible to get to this scenario?
Those who figure out the puzzle can send their answers to Penrose to be entered in to win the professors latest book. Goodluck!
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computer_chess:wiki:lists:chess_engine_list - Computer ...