Which drug molecule is most effective? Researchers are feverishly searching for efficient active substances to combat diseases. These compounds often dock onto proteins, which usually are enzymes or receptors that trigger a specific chain of physiological actions.Which drug molecule is most effective? Researchers are feverishly searching for efficient active substances to combat diseases. These compounds often dock onto proteins, which usually are enzymes or receptors that trigger a specific chain of physiological actions.[#item_full_content]

In the rapidly emerging world of large-scale computing, it was just a matter of time before a game-changing achievement was poised to shake up the field of 3D visualizations.In the rapidly emerging world of large-scale computing, it was just a matter of time before a game-changing achievement was poised to shake up the field of 3D visualizations.[#item_full_content]

Face recognition technology emulates human performance and can even exceed it. And it is becoming increasingly more common for it to be used with cameras for real-time recognition, such as to unlock a smartphone or laptop, log into a social media app, and to check in at the airport.Face recognition technology emulates human performance and can even exceed it. And it is becoming increasingly more common for it to be used with cameras for real-time recognition, such as to unlock a smartphone or laptop, log into a social media app, and to check in at the airport.[#item_full_content]

Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists have trained models based on these networks to analyze chemical data and identify promising chemicals for various applications.Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists have trained models based on these networks to analyze chemical data and identify promising chemicals for various applications.[#item_full_content]

From vehicle collision avoidance to airline scheduling systems to power supply grids, many of the services we rely on are managed by computers. As these autonomous systems grow in complexity and ubiquity, so too could the ways in which they fail.From vehicle collision avoidance to airline scheduling systems to power supply grids, many of the services we rely on are managed by computers. As these autonomous systems grow in complexity and ubiquity, so too could the ways in which they fail.[#item_full_content]

A quick scan of the headlines makes it seem like generative artificial intelligence is everywhere these days. In fact, some of those headlines may actually have been written by generative AI, like OpenAI’s ChatGPT, a chatbot that has demonstrated an uncanny ability to produce text that seems to have been written by a human.A quick scan of the headlines makes it seem like generative artificial intelligence is everywhere these days. In fact, some of those headlines may actually have been written by generative AI, like OpenAI’s ChatGPT, a chatbot that has demonstrated an uncanny ability to produce text that seems to have been written by a human.[#item_full_content]

The state space explosion problem means that the state space of Petri nets (PNs) grows exponentially with PNs’ size. Even the fundamental reachability problem is still an NP-Hard problem in general. It has been proved that the equivalence problem for the reachability set of arbitrary PNs is undecidable except for some subclass of PNs. That is, the reachability problem of arbitrary PNs cannot be solved exactly. Nowadays, there is no efficient and accurate algorithm to solve the problem.The state space explosion problem means that the state space of Petri nets (PNs) grows exponentially with PNs’ size. Even the fundamental reachability problem is still an NP-Hard problem in general. It has been proved that the equivalence problem for the reachability set of arbitrary PNs is undecidable except for some subclass of PNs. That is, the reachability problem of arbitrary PNs cannot be solved exactly. Nowadays, there is no efficient and accurate algorithm to solve the problem.[#item_full_content]

As artificial intelligence (AI) reaches the peak of its popularity, researchers have warned the industry might be running out of training data—the fuel that runs powerful AI systems. This could slow down the growth of AI models, especially large language models, and may even alter the trajectory of the AI revolution.As artificial intelligence (AI) reaches the peak of its popularity, researchers have warned the industry might be running out of training data—the fuel that runs powerful AI systems. This could slow down the growth of AI models, especially large language models, and may even alter the trajectory of the AI revolution.[#item_full_content]

“Othello is now solved.” With that summation, a researcher at a Japanese computer company confirmed yet another milestone in supercomputing achievement.”Othello is now solved.” With that summation, a researcher at a Japanese computer company confirmed yet another milestone in supercomputing achievement.[#item_full_content]

In an era of heightened concern in academia regarding AI-generated essays, there is reassuring news from the University of Kansas.In an era of heightened concern in academia regarding AI-generated essays, there is reassuring news from the University of Kansas.[#item_full_content]