Professional basketball is faster, more physical, and increasingly tactically sophisticated. Even the smallest foul can tilt the balance of a game. Now, research published in the International Journal of Computational Systems Engineering shows how artificial intelligence, specifically machine vision, could bring unprecedented precision to one of the sport’s most contested areas: the detection of fouls.Professional basketball is faster, more physical, and increasingly tactically sophisticated. Even the smallest foul can tilt the balance of a game. Now, research published in the International Journal of Computational Systems Engineering shows how artificial intelligence, specifically machine vision, could bring unprecedented precision to one of the sport’s most contested areas: the detection of fouls.Machine learning & AI[#item_full_content]
A research team, led by Professor Jaejun Yoo from the Graduate School of Artificial Intelligence at UNIST has announced the development of an advanced artificial intelligence (AI) model, “BF-STVSR (Bidirectional Flow-based Spatio-Temporal Video Super-Resolution),” capable of simultaneously improving both video resolution and frame rate.A research team, led by Professor Jaejun Yoo from the Graduate School of Artificial Intelligence at UNIST has announced the development of an advanced artificial intelligence (AI) model, “BF-STVSR (Bidirectional Flow-based Spatio-Temporal Video Super-Resolution),” capable of simultaneously improving both video resolution and frame rate.Machine learning & AI[#item_full_content]
AI is forcing the data industry to consolidate — but that’s not the whole story
While AI may be the catalyst behind the recent wave of data company M&A, the market was ripe for consolidation.While AI may be the catalyst behind the recent wave of data company M&A, the market was ripe for consolidation.[#item_full_content]
Researchers have developed a technique that significantly improves the performance of large language models without increasing the computational power necessary to fine-tune the models. The researchers demonstrated that their technique improves the performance of these models over previous techniques in tasks including commonsense reasoning, arithmetic reasoning, instruction following, code generation, and visual recognition.Researchers have developed a technique that significantly improves the performance of large language models without increasing the computational power necessary to fine-tune the models. The researchers demonstrated that their technique improves the performance of these models over previous techniques in tasks including commonsense reasoning, arithmetic reasoning, instruction following, code generation, and visual recognition.[#item_full_content]
Researchers have developed a technique that significantly improves the performance of large language models without increasing the computational power necessary to fine-tune the models. The researchers demonstrated that their technique improves the performance of these models over previous techniques in tasks including commonsense reasoning, arithmetic reasoning, instruction following, code generation, and visual recognition.Researchers have developed a technique that significantly improves the performance of large language models without increasing the computational power necessary to fine-tune the models. The researchers demonstrated that their technique improves the performance of these models over previous techniques in tasks including commonsense reasoning, arithmetic reasoning, instruction following, code generation, and visual recognition.Computer Sciences[#item_full_content]
Large language models (LLMs), such as the model underpinning the functioning of OpenAI’s conversational platform ChatGPT, are now widely used by people worldwide to source information and generate content for various purposes.Large language models (LLMs), such as the model underpinning the functioning of OpenAI’s conversational platform ChatGPT, are now widely used by people worldwide to source information and generate content for various purposes.Consumer & Gadgets[#item_full_content]
The language capabilities of today’s artificial intelligence systems are astonishing. We can now engage in natural conversations with systems like ChatGPT, Gemini, and many others, with a fluency nearly comparable to that of a human being. Yet we still know very little about the internal processes in these networks that lead to such remarkable results.The language capabilities of today’s artificial intelligence systems are astonishing. We can now engage in natural conversations with systems like ChatGPT, Gemini, and many others, with a fluency nearly comparable to that of a human being. Yet we still know very little about the internal processes in these networks that lead to such remarkable results.[#item_full_content]
The language capabilities of today’s artificial intelligence systems are astonishing. We can now engage in natural conversations with systems like ChatGPT, Gemini, and many others, with a fluency nearly comparable to that of a human being. Yet we still know very little about the internal processes in these networks that lead to such remarkable results.The language capabilities of today’s artificial intelligence systems are astonishing. We can now engage in natural conversations with systems like ChatGPT, Gemini, and many others, with a fluency nearly comparable to that of a human being. Yet we still know very little about the internal processes in these networks that lead to such remarkable results.Computer Sciences[#item_full_content]
Natural Gas Harms U.S. Economy And Won’t Solve Rising Electricity Demand
The post Natural Gas Harms U.S. Economy And Won’t Solve Rising Electricity Demand appeared first on Energy Innovation.
Renewable energy has generated more power than natural gas because it provides cheap and fast electricity to meet demand.
The post Natural Gas Harms U.S. Economy And Won’t Solve Rising Electricity Demand appeared first on Energy Innovation.[#item_full_content]
How Brex is keeping up with AI by embracing the ‘messiness’
Brex quickly realized its normal software procurement process wouldn’t work in the age of AI and found a new way to test and vet tools.Brex quickly realized its normal software procurement process wouldn’t work in the age of AI and found a new way to test and vet tools.[#item_full_content]
