ansar02.bsky.social
@ansar02.bsky.social
The term “artificial intelligence” was coined more than 60 years ago, but only recently have we begun to realize all the benefits of AI, machine learning and deep learning in our everyday lives.

Most of us already use smart machines that learn, recognize voices, make decisions, solve problems ...
The term “artificial intelligence” was coined more than 60 years ago, but only recently have we begun to realize all the benefits of AI, machine learning and deep learning in our everyday lives. Most of us already use smart machines that learn, recognize voices, make decisions, solve problems and make recommendations on everything from the routes we drive, to the movies we watch, to the clothes we buy. We have smartphones in our pockets, intelligent personal assistants on our countertops, robots in our factories and autonomous vehicles on our highways. And that’s just for startersssss
The term “artificial intelligence” was coined more than 60 years ago, but only recently have we begun to realize all the benefits of AI, machine learning and deep learning in our everyday lives. Most of us already use smart machines that learn, recognize voices, make decisions, solve problems and make recommendations on everything from the routes we drive, to the movies we watch, to the clothes we buy. We have smartphones in our pockets, intelligent personal assistants on our countertops, robots in our factories and autonomous vehicles on our highways. And that’s just for startersssss
preview.gcp.chattersocial.io
November 21, 2025 at 11:53 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might ... <a href="https://preview.gcp.chattersocial.io/post/dc8b1414-56dd-498f-9125-4298638e6c4d" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://preview.gcp.chattersocial.io/post/dc8b1414-56dd-498f-9125-4298638e6c4d
November 20, 2025 at 10:34 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might ... <a href="https://preview.gcp.chattersocial.io/post/6347c696-bf32-42ad-85c9-d1142189ff40" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://preview.gcp.chattersocial.io/post/6347c696-bf32-42ad-85c9-d1142189ff40
November 20, 2025 at 10:33 AM
There are a number of different forms of learning as applied to artificial intelligence.
November 20, 2025 at 10:33 AM
There are a number of different forms of learning as applied to artificial intelligence. <a href="https://preview.gcp.chattersocial.io/post/80757b7c-adc6-4c8a-9d4e-96a37ef7ee22" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://preview.gcp.chattersocial.io/post/80757b7c-adc6-4c8a-9d4e-96a37ef7ee22
November 20, 2025 at 10:29 AM
There are a number of different forms of learning as applied to artificial intelligence. <a href="https://preview.gcp.chattersocial.io/post/de5a5431-76dc-4300-89d6-0de5b9533bac" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://preview.gcp.chattersocial.io/post/de5a5431-76dc-4300-89d6-0de5b9533bac
November 20, 2025 at 10:27 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might ... <a href="https://preview.gcp.chattersocial.io/post/a151f115-b361-4479-8ca7-debff4b7e710" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://preview.gcp.chattersocial.io/post/a151f115-b361-4479-8ca7-debff4b7e710
November 20, 2025 at 10:26 AM
¦ <a href="https://preview.gcp.chattersocial.io/post/8755d5fb-675a-40c4-ba74-6e50f43d4bcd" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://preview.gcp.chattersocial.io/post/8755d5fb-675a-40c4-ba74-6e50f43d4bcd
November 20, 2025 at 10:21 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the sol...
November 20, 2025 at 10:14 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the sol...
November 20, 2025 at 10:08 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the sol...
November 20, 2025 at 10:06 AM
There are a number of different forms of learning as applied to artificial intelligence.
November 20, 2025 at 10:05 AM
There are a number of different forms of learning as applied to artificial intelligence.
There are a number of different forms of learning as applied to artificial intelligence.
There are a number of different forms of learning as applied to artificial intelligence.
preview.gcp.chattersocial.io
November 20, 2025 at 10:03 AM
There are a number of different forms of learning as applied to artificial intelligence.
November 20, 2025 at 8:59 AM
Nature, hens, diary farm.
Hens are highly intelligent and social birds that are native to the tropical jungles of Southeast Asia but have been domesticated globally. In a natural setting, they form social hierarchies, raise their young, and use their environment to forage and find shelter.
November 20, 2025 at 7:36 AM
Nature, hens, diary farm.
Hens are highly intelligent and social birds that are native to the tropical jungles of Southeast Asia but have been domesticated globally. In a natural setting, they form social hierarchies, ...
<a href="https://preview.gcp.chattersocial.io/post/63c36937-577e-4ecc-b698-8f2de438d462" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://preview.gcp.chattersocial.io/post/63c36937-577e-4ecc-b698-8f2de438d462
November 20, 2025 at 7:22 AM
There are a number of different forms of learning as applied to artificial intelligence.
<a href="https://preview.gcp.chattersocial.io/post/998b7b0d-c122-4eb2-a8ba-ae2ffa0e1a92" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://preview.gcp.chattersocial.io/post/998b7b0d-c122-4eb2-a8ba-ae2ffa0e1a92
November 20, 2025 at 7:05 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might...

<a href="https://preview.gcp.chattersocial.io/post/cbe53b90-0a73-406a-b860-ff31fc52dc38" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://preview.gcp.chattersocial.io/post/cbe53b90-0a73-406a-b860-ff31fc52dc38
November 20, 2025 at 6:40 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might tr

https://preview.gcp.chattersocial.io/post/79ca4d8c-30f6-4144-87a8-040ba61adae9
November 20, 2025 at 6:31 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the sol...
November 20, 2025 at 6:07 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the sol...
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the solution with the position so that, the next time the computer encountered the same position, it would recall the solution. This simple memorizing of individual items and procedures—known as rote learning—is relatively easy to implement on a computer. More challenging is the problem of implementing what is called generalization.
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the solution with the position so that, the next time the computer encountered the same position, it would recall the solution. This simple memorizing of individual items and procedures—known as rote learning—is relatively easy to implement on a computer. More challenging is the problem of implementing what is called generalization.
preview.gcp.chattersocial.io
November 20, 2025 at 4:26 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the sol...
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the solution with the position so that, the next time the computer encountered the same position, it would recall the solution. This simple memorizing of individual items and procedures—known as rote learning—is relatively easy to implement on a computer. More challenging is the problem of implementing what is called generalization.
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the solution with the position so that, the next time the computer encountered the same position, it would recall the solution. This simple memorizing of individual items and procedures—known as rote learning—is relatively easy to implement on a computer. More challenging is the problem of implementing what is called generalization.
preview.gcp.chattersocial.io
November 20, 2025 at 4:21 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the sol...
November 20, 2025 at 4:17 AM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the sol...
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the solution with the position so that, the next time the computer encountered the same position, it would recall the solution. This simple memorizing of individual items and procedures—known as rote learning—is relatively easy to implement on a computer. More challenging is the problem of implementing what is called generalization. Generalization involves applying past experience to analogous new situations.
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the solution with the position so that, the next time the computer encountered the same position, it would recall the solution. This simple memorizing of individual items and procedures—known as rote learning—is relatively easy to implement on a computer. More challenging is the problem of implementing what is called generalization. Generalization involves applying past experience to analogous new situations.
preview.gcp.chattersocial.io
November 19, 2025 at 6:13 PM
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the sol...
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the solution with the position so that, the next time the computer encountered the same position, it would recall the solution. This simple memorizing of individual items and procedures—known as rote learning—is relatively easy to implement on a computer. More challenging is the problem of implementing what is called generalization. Generalization involves applying past experience to analogous new situations.
There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the solution with the position so that, the next time the computer encountered the same position, it would recall the solution. This simple memorizing of individual items and procedures—known as rote learning—is relatively easy to implement on a computer. More challenging is the problem of implementing what is called generalization. Generalization involves applying past experience to analogous new situations.
preview.gcp.chattersocial.io
November 19, 2025 at 6:13 PM