A team of computer scientists at Purdue University has found that the popular LLM, ChatGPT, is wildly inaccurate when responding to computer programming questions. In their paper published as part of the Proceedings of the CHI Conference on Human Factors in Computing Systems, the group describes how they pulled questions from the StackOverflow website and posed them to ChatGPT and then measured its degree of accuracy when responding.A team of computer scientists at Purdue University has found that the popular LLM, ChatGPT, is wildly inaccurate when responding to computer programming questions. In their paper published as part of the Proceedings of the CHI Conference on Human Factors in Computing Systems, the group describes how they pulled questions from the StackOverflow website and posed them to ChatGPT and then measured its degree of accuracy when responding.[#item_full_content]

Recent technological advances are enabling the development of computational tools that could significantly improve the quality of life of individuals with disabilities or sensory impairments. These include so-called electromyography-to-speech (ETS) conversion models, designed to convert electrical signals produced by skeletal muscles into speech.Recent technological advances are enabling the development of computational tools that could significantly improve the quality of life of individuals with disabilities or sensory impairments. These include so-called electromyography-to-speech (ETS) conversion models, designed to convert electrical signals produced by skeletal muscles into speech.[#item_full_content]

A study from Japan published in the International Journal of Computer Aided Engineering and Technology reveals a way to optimize the composition of functionally graded materials (FGMs). FGMs are advanced composite materials with a gradual variation in composition and properties across their volume, designed to optimize performance under specific loading conditions.A study from Japan published in the International Journal of Computer Aided Engineering and Technology reveals a way to optimize the composition of functionally graded materials (FGMs). FGMs are advanced composite materials with a gradual variation in composition and properties across their volume, designed to optimize performance under specific loading conditions.[#item_full_content]

A new approach to searching through video content has been developed by a team in South Korea. The system, described in the International Journal of Computational Vision and Robotics, extracts spoken word from a video recording, converts it to text, and then makes that text searchable. Importantly, the system thus does not rely on embedded keywords nor curated tags or hashtags to be associated with the video content.A new approach to searching through video content has been developed by a team in South Korea. The system, described in the International Journal of Computational Vision and Robotics, extracts spoken word from a video recording, converts it to text, and then makes that text searchable. Importantly, the system thus does not rely on embedded keywords nor curated tags or hashtags to be associated with the video content.[#item_full_content]

Deep learning techniques have become increasingly advanced over the past few years, reaching human-level accuracy on a wide range of tasks, including image classification and natural language processing.Deep learning techniques have become increasingly advanced over the past few years, reaching human-level accuracy on a wide range of tasks, including image classification and natural language processing.[#item_full_content]

AI researchers at Meta, the company that owns Facebook, Instagram, WhatsApp, and many other products, have designed and built a multimodal model to compete with the likes of Google’s Gemini.AI researchers at Meta, the company that owns Facebook, Instagram, WhatsApp, and many other products, have designed and built a multimodal model to compete with the likes of Google’s Gemini.[#item_full_content]

Without electronics carrying out computational tasks, our daily lives would look very different. Devices such as elevators, vending machines, turnstiles, washing machines and even traffic lights use a simple form of electronic computing to switch from state to state. But, what if a power supply is not available to operate these devices?Without electronics carrying out computational tasks, our daily lives would look very different. Devices such as elevators, vending machines, turnstiles, washing machines and even traffic lights use a simple form of electronic computing to switch from state to state. But, what if a power supply is not available to operate these devices?[#item_full_content]

Large language models (LLMs), artificial neural networks-based architectures that can process, generate and manipulate texts in various human languages, have recently become increasingly widespread. These models are now being used in a wide range of settings, to rapidly find answers to queries, produce content for specific purposes and interpret complex texts.Large language models (LLMs), artificial neural networks-based architectures that can process, generate and manipulate texts in various human languages, have recently become increasingly widespread. These models are now being used in a wide range of settings, to rapidly find answers to queries, produce content for specific purposes and interpret complex texts.[#item_full_content]

Researchers from the University of Innsbruck have unveiled a novel method to prepare quantum operations on a given quantum computer, using a machine learning generative model to find the appropriate sequence of quantum gates to execute a quantum operation.Researchers from the University of Innsbruck have unveiled a novel method to prepare quantum operations on a given quantum computer, using a machine learning generative model to find the appropriate sequence of quantum gates to execute a quantum operation.[#item_full_content]

By now, the challenges posed by generative AI are no secret. Models like OpenAI’s ChatGPT, Anthropic’s Claude and Meta’s Llama have been known to “hallucinate,” inventing potentially misleading responses, as well as divulge sensitive information, like copyrighted materials.By now, the challenges posed by generative AI are no secret. Models like OpenAI’s ChatGPT, Anthropic’s Claude and Meta’s Llama have been known to “hallucinate,” inventing potentially misleading responses, as well as divulge sensitive information, like copyrighted materials.[#item_full_content]