As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a wide margin on complex tasks. Try playing Sudoku with one, for instance, where you fill in numbers one through nine in such a way that each appears only once across the columns, rows, and sections of a nine-by-nine grid. Your AI opponent will either fail to fill in boxes on its own or do so inefficiently, although it can verify if you’ve filled yours out correctly.As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a wide margin on complex tasks. Try playing Sudoku with one, for instance, where you fill in numbers one through nine in such a way that each appears only once across the columns, rows, and sections of a nine-by-nine grid. Your AI opponent will either fail to fill in boxes on its own or do so inefficiently, although it can verify if you’ve filled yours out correctly.Computer Sciences[#item_full_content]
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a wide margin on complex tasks. Try playing Sudoku with one, for instance, where you fill in numbers one through nine in such a way that each appears only once across the columns, rows, and sections of a nine-by-nine grid. Your AI opponent will either fail to fill in boxes on its own or do so inefficiently, although it can verify if you’ve filled yours out correctly.As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a wide margin on complex tasks. Try playing Sudoku with one, for instance, where you fill in numbers one through nine in such a way that each appears only once across the columns, rows, and sections of a nine-by-nine grid. Your AI opponent will either fail to fill in boxes on its own or do so inefficiently, although it can verify if you’ve filled yours out correctly.[#item_full_content]
Chatty bots are sharing their hot takes through hundreds of thousands of AI-generated podcasts. And the invasion has just begun.Chatty bots are sharing their hot takes through hundreds of thousands of AI-generated podcasts. And the invasion has just begun.Consumer & Gadgets[#item_full_content]
Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used worldwide to create written content, source information and even to code websites or applications. While these models have improved significantly over the past couple of years, their answers can sometimes contain factual inaccuracies or logical inconsistencies.Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used worldwide to create written content, source information and even to code websites or applications. While these models have improved significantly over the past couple of years, their answers can sometimes contain factual inaccuracies or logical inconsistencies.Computer Sciences[#item_full_content]
Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used worldwide to create written content, source information and even to code websites or applications. While these models have improved significantly over the past couple of years, their answers can sometimes contain factual inaccuracies or logical inconsistencies.Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used worldwide to create written content, source information and even to code websites or applications. While these models have improved significantly over the past couple of years, their answers can sometimes contain factual inaccuracies or logical inconsistencies.[#item_full_content]
A research team led by Professor Jaesik Choi of KAIST’s Kim Jaechul Graduate School of AI, in collaboration with KakaoBank Corp, has developed an accelerated explanation technology that can explain the basis of an artificial intelligence (AI) model’s judgment in real-time.A research team led by Professor Jaesik Choi of KAIST’s Kim Jaechul Graduate School of AI, in collaboration with KakaoBank Corp, has developed an accelerated explanation technology that can explain the basis of an artificial intelligence (AI) model’s judgment in real-time.Computer Sciences[#item_full_content]
A research team led by Professor Jaesik Choi of KAIST’s Kim Jaechul Graduate School of AI, in collaboration with KakaoBank Corp, has developed an accelerated explanation technology that can explain the basis of an artificial intelligence (AI) model’s judgment in real-time.A research team led by Professor Jaesik Choi of KAIST’s Kim Jaechul Graduate School of AI, in collaboration with KakaoBank Corp, has developed an accelerated explanation technology that can explain the basis of an artificial intelligence (AI) model’s judgment in real-time.[#item_full_content]
Robots have long been seen as a bad bet for Silicon Valley investors—too complicated, capital-intensive and “boring, honestly,” says venture capitalist Modar Alaoui.Robots have long been seen as a bad bet for Silicon Valley investors—too complicated, capital-intensive and “boring, honestly,” says venture capitalist Modar Alaoui.Robotics[#item_full_content]
Biological muscles act as flexible actuators, generating force naturally and with an impressive range of motion. Unsurprisingly, scientists and engineers have been striving to build artificial muscles that mimic these abilities. A new review study, published in Nature, takes a deep dive into recent developments surrounding fiber-type artificial muscles, one of the most life-like types of artificial muscles developed so far.Biological muscles act as flexible actuators, generating force naturally and with an impressive range of motion. Unsurprisingly, scientists and engineers have been striving to build artificial muscles that mimic these abilities. A new review study, published in Nature, takes a deep dive into recent developments surrounding fiber-type artificial muscles, one of the most life-like types of artificial muscles developed so far.[#item_full_content]
Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, audio and video. One challenge slowing advances in multimodal AI, however, is the process of choosing the algorithmic method best aligned to the specific task an AI system needs to perform.Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, audio and video. One challenge slowing advances in multimodal AI, however, is the process of choosing the algorithmic method best aligned to the specific task an AI system needs to perform.Computer Sciences[#item_full_content]
