A study in the International Journal of Shipping and Transport Logistics addresses a longstanding gap in the world of dry bulk shipping terminals, introducing a two-stage methodology that employs unsupervised machine learning techniques. The work by Iñigo L. Ansorena of the Universidad Internacional de La Rioja in Spain, focused on North European dry bulk terminals, and could improve transparency in terminal management.A study in the International Journal of Shipping and Transport Logistics addresses a longstanding gap in the world of dry bulk shipping terminals, introducing a two-stage methodology that employs unsupervised machine learning techniques. The work by Iñigo L. Ansorena of the Universidad Internacional de La Rioja in Spain, focused on North European dry bulk terminals, and could improve transparency in terminal management.Automotive[#item_full_content]
An innovative approach to artificial intelligence (AI) enables reconstructing a broad field of data, such as overall ocean temperature, from a small number of field-deployable sensors using low-powered “edge” computing, with broad applications across industry, science and medicine.An innovative approach to artificial intelligence (AI) enables reconstructing a broad field of data, such as overall ocean temperature, from a small number of field-deployable sensors using low-powered “edge” computing, with broad applications across industry, science and medicine.Hi Tech & Innovation[#item_full_content]
What are AI chatbots actually doing when they “hallucinate”? Does the term accurately capture why so-called generative AI tools—nearing ubiquity in many professional settings—sometimes generate false information when prompted?What are AI chatbots actually doing when they “hallucinate”? Does the term accurately capture why so-called generative AI tools—nearing ubiquity in many professional settings—sometimes generate false information when prompted?Machine learning & AI[#item_full_content]
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.Computer Sciences[#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.Computer Sciences[#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.Computer Sciences[#item_full_content]
A form of brain-inspired computing that exploits the intrinsic physical properties of a material to dramatically reduce energy use is now a step closer to reality, thanks to a new study led by UCL and Imperial College London researchers.A form of brain-inspired computing that exploits the intrinsic physical properties of a material to dramatically reduce energy use is now a step closer to reality, thanks to a new study led by UCL and Imperial College London researchers.Hi Tech & Innovation[#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.Computer Sciences[#item_full_content]
From computer-generated “extras” to AI “zombies,” new restrictions against the use of artificial intelligence in Hollywood were set out by the actors’ union Friday.From computer-generated “extras” to AI “zombies,” new restrictions against the use of artificial intelligence in Hollywood were set out by the actors’ union Friday.Machine learning & AI[#item_full_content]
Europe’s hope to rival OpenAI, Aleph Alpha, may have just raised close to 500 million euros ($534 million) from investors this week, but its co-founder said Friday the start-up was in a battle to even survive.Europe’s hope to rival OpenAI, Aleph Alpha, may have just raised close to 500 million euros ($534 million) from investors this week, but its co-founder said Friday the start-up was in a battle to even survive.Machine learning & AI[#item_full_content]
