Sebastian Hönel from Linnaeus University has, in his computer science dissertation, introduced a new method to measure and enhance the quality of software processes. The method focuses on understanding how software is developed and the changes that occur over time. By utilizing digital data from the development process combined with expert- and data-driven analysis, one can predict issues and decide on potential improvements.Sebastian Hönel from Linnaeus University has, in his computer science dissertation, introduced a new method to measure and enhance the quality of software processes. The method focuses on understanding how software is developed and the changes that occur over time. By utilizing digital data from the development process combined with expert- and data-driven analysis, one can predict issues and decide on potential improvements.[#item_full_content]

Jonathan Middleton, DMA, a professor of music theory and composition at Eastern Washington University, is the lead author of a newly-published study demonstrating how the transformation of digital data into sounds could be a game-changer in the growing world of data interpretation.Jonathan Middleton, DMA, a professor of music theory and composition at Eastern Washington University, is the lead author of a newly-published study demonstrating how the transformation of digital data into sounds could be a game-changer in the growing world of data interpretation.[#item_full_content]

Transformers are machine learning models designed to uncover and track patterns in sequential data, such as text sequences. In recent years, these models have become increasingly sophisticated, forming the backbone of popular conversational platforms, such as ChatGPT,Transformers are machine learning models designed to uncover and track patterns in sequential data, such as text sequences. In recent years, these models have become increasingly sophisticated, forming the backbone of popular conversational platforms, such as ChatGPT,[#item_full_content]

To get a sense of what StructCode is all about, says Mustafa Doğa Doğan, think of Superman. Not the “faster than a speeding bullet” and “more powerful than a locomotive” version, but a Superman, or Superwoman, who sees the world differently from ordinary mortals—someone who can look around a room and glean all kinds of information about ordinary objects that is not apparent to people with less penetrating faculties.To get a sense of what StructCode is all about, says Mustafa Doğa Doğan, think of Superman. Not the “faster than a speeding bullet” and “more powerful than a locomotive” version, but a Superman, or Superwoman, who sees the world differently from ordinary mortals—someone who can look around a room and glean all kinds of information about ordinary objects that is not apparent to people with less penetrating faculties.[#item_full_content]

There is an intense, worldwide search for novel materials to build computer microchips with that are not based on classic transistors but on much more energy-saving, brain-like components. However, whereas the theoretical basis for classic transistor-based digital computers is solid, there are no real theoretical guidelines for the creation of brain-like computers.There is an intense, worldwide search for novel materials to build computer microchips with that are not based on classic transistors but on much more energy-saving, brain-like components. However, whereas the theoretical basis for classic transistor-based digital computers is solid, there are no real theoretical guidelines for the creation of brain-like computers.[#item_full_content]

Greenwashing scams, murky networks and poor oversight cloud the experiences of climate-conscious consumers and investors. Research from the University of Copenhagen demonstrates that we can create transparency in supply chains, genuinely green products and green financial markets by using distributed ledger technology (DLT).Greenwashing scams, murky networks and poor oversight cloud the experiences of climate-conscious consumers and investors. Research from the University of Copenhagen demonstrates that we can create transparency in supply chains, genuinely green products and green financial markets by using distributed ledger technology (DLT).[#item_full_content]

Cutting-edge technologies gave the world fake news, but researchers from the University of Waterloo’s Faculty of Engineering are developing even newer technology to stop it. Their innovative system—the first of its kind—relies on something already famous for underpinning Bitcoin and other cryptocurrencies—blockchain. But in addition to sophisticated machines, these researchers are enlisting humans to establish the truth. Their goal is a world where people have greater trust in the news they see and hear.Cutting-edge technologies gave the world fake news, but researchers from the University of Waterloo’s Faculty of Engineering are developing even newer technology to stop it. Their innovative system—the first of its kind—relies on something already famous for underpinning Bitcoin and other cryptocurrencies—blockchain. But in addition to sophisticated machines, these researchers are enlisting humans to establish the truth. Their goal is a world where people have greater trust in the news they see and hear.[#item_full_content]

An individual may bring their hands to their face when feeling sad or jump into the air when feeling happy. Human body movements convey emotions, which plays a crucial role in everyday communication, according to a team led by Penn State researchers. Combining computing, psychology and performing arts, the researchers developed an annotated human movement dataset that may improve the ability of artificial intelligence to recognize the emotions expressed through body language.An individual may bring their hands to their face when feeling sad or jump into the air when feeling happy. Human body movements convey emotions, which plays a crucial role in everyday communication, according to a team led by Penn State researchers. Combining computing, psychology and performing arts, the researchers developed an annotated human movement dataset that may improve the ability of artificial intelligence to recognize the emotions expressed through body language.[#item_full_content]

A team of computer scientists at the University of California Berkeley, working with one colleague from the University of California San Diego and another from Carnegie Mellon University, has created a large-scale dataset of 1 million real-world conversations to study how people interact with large language models (LLMs). They have published a paper describing their work and findings on the arXiv preprint server.A team of computer scientists at the University of California Berkeley, working with one colleague from the University of California San Diego and another from Carnegie Mellon University, has created a large-scale dataset of 1 million real-world conversations to study how people interact with large language models (LLMs). They have published a paper describing their work and findings on the arXiv preprint server.[#item_full_content]

Human sensory systems are very good at recognizing objects that we see or words that we hear, even if the object is upside down or the word is spoken by a voice we’ve never heard.Human sensory systems are very good at recognizing objects that we see or words that we hear, even if the object is upside down or the word is spoken by a voice we’ve never heard.[#item_full_content]