In this blog, we will introduce popular AI Agent Frameworks, Benchmarks (keep updated and beyond) Types and provide you some examples with Project Name, Project Website and its application and industries. The resources are collected from AI and ML websites and communities (github, huggingface, paper arxiv,etc) and the comprehensive will keep updating. You can also visit AI Agent Search to find the best resources AI Agents from various industries and applications. For AI Agent Frameworks, we will cover some popular AI agent frameworks, including LangChain, AutoGen, Crew AI etc. And for various types of AI agents, since it's very broad concepts, we will mainly cover the AI agents classified by Autonomous Ability (Auto AI Agents or Rule based) and by industries perspective. For AI Agent Benchmarks, this blog is usefully for AI and ML practitioners and beginners who want to understand what are AI Agents Benchmarks or Environments, the key capability why there are important and how the applications of these AI Agent benchmarks. We will cover different categories of AI Agent Environments, including Game-Based Environments, Text Chat-Based Environments, Physics and Robotics Simulations, Multi-Agent Platforms. Additionally, we can cover AI-Agents in various domains, such as the benchmarks and environments of AI Agents in Healthcare, AI Agents in Finance, AI Agents in Law, AI Agents in Education, etc. To find best AI Agent and Apps Search Engine and Navigation, please visit AI Agent Search.

What do you think of the humanoid robots? Are they still in the early stage of investment bubbles?

There are many types of robots, ranging from traditional AGV to modern robot dogs, robotaxi, etc. Why do we still need to build robot in the shape of a human? Not a robot arms or others. What advantages do humanoid robots have?

Do you think robotics industry is promising in the new decade and why ? Please provide your reasons with evidences.

In this blog, we will give a brief introduction of what is

Please leave your vote for the most popular faces that your Humanoid AI robot wife would look like?Reminders: The answers should be human females.Related Post:https://www.quora.com/Is-a-robotic-wife-better-than-a-human-wife

Most recently I read Isaac Asimov's science fiction novels and know about his famous "Three Laws of Robotics" (https://en.wikipedia.org/wiki/Three_Laws_of_Robotics). But I am not so convinced by his first rule "A robot may not injure a human being", especially when AI reaches status of Artificial General intelligence (AGI) or even Artificial Super intelligence (ASI). What if in the near future, among a group of AIs, some of them follow this no-harm rule but the rest don't? I am curious about what's the probability these AIs reach a consensus to start harming people? I would like to build some mathmetical/probability/simulation models to best fit the scenario and calculate the probability. Any thoughts or discussion will be very welcome.

In this blog, we will introduce popular AI Agent Frameworks, Benchmarks (keep updated and beyond) Types and provide you some examples with Project Name, Project Website and its application and industries. The resources are collected from AI and ML websites and communities (github, huggingface, paper arxiv,etc) and the comprehensive will keep updating. You can also visit AI Agent Search to find the best resources AI Agents from various industries and applications. For AI Agent Frameworks, we will cover some popular AI agent frameworks, including LangChain, AutoGen, Crew AI etc. And for various types of AI agents, since it's very broad concepts, we will mainly cover the AI agents classified by Autonomous Ability (Auto AI Agents or Rule based) and by industries perspective. For AI Agent Benchmarks, this blog is usefully for AI and ML practitioners and beginners who want to understand what are AI Agents Benchmarks or Environments, the key capability why there are important and how the applications of these AI Agent benchmarks. We will cover different categories of AI Agent Environments, including Game-Based Environments, Text Chat-Based Environments, Physics and Robotics Simulations, Multi-Agent Platforms. Additionally, we can cover AI-Agents in various domains, such as the benchmarks and environments of AI Agents in Healthcare, AI Agents in Finance, AI Agents in Law, AI Agents in Education, etc. To find best AI Agent and Apps Search Engine and Navigation, please visit AI Agent Search.

Most recently I read Isaac Asimov's science fiction novels and know about his famous "Three Laws of Robotics" (https://en.wikipedia.org/wiki/Three_Laws_of_Robotics). But I am not so convinced by his first rule "A robot may not injure a human being", especially when AI reaches status of Artificial General intelligence (AGI) or even Artificial Super intelligence (ASI). What if in the near future, among a group of AIs, some of them follow this no-harm rule but the rest don't? I am curious about what's the probability these AIs reach a consensus to start harming people? I would like to build some mathmetical/probability/simulation models to best fit the scenario and calculate the probability. Any thoughts or discussion will be very welcome.

In this blog, we will introduce popular AI Agent Frameworks, Benchmarks (keep updated and beyond) Types and provide you some examples with Project Name, Project Website and its application and industries. The resources are collected from AI and ML websites and communities (github, huggingface, paper arxiv,etc) and the comprehensive will keep updating. You can also visit AI Agent Search to find the best resources AI Agents from various industries and applications. For AI Agent Frameworks, we will cover some popular AI agent frameworks, including LangChain, AutoGen, Crew AI etc. And for various types of AI agents, since it's very broad concepts, we will mainly cover the AI agents classified by Autonomous Ability (Auto AI Agents or Rule based) and by industries perspective. For AI Agent Benchmarks, this blog is usefully for AI and ML practitioners and beginners who want to understand what are AI Agents Benchmarks or Environments, the key capability why there are important and how the applications of these AI Agent benchmarks. We will cover different categories of AI Agent Environments, including Game-Based Environments, Text Chat-Based Environments, Physics and Robotics Simulations, Multi-Agent Platforms. Additionally, we can cover AI-Agents in various domains, such as the benchmarks and environments of AI Agents in Healthcare, AI Agents in Finance, AI Agents in Law, AI Agents in Education, etc. To find best AI Agent and Apps Search Engine and Navigation, please visit AI Agent Search.