Unsupervised domain adaptation has garnered a great amount of attention and research in past decades. Among all the deep-based methods, the autoencoder-based approach has achieved sound performance for its fast convergence speed and a no-label requirement. The existing methods of autoencoders just serially connect the features generated by different autoencoders, which poses challenges for discriminative representation learning and which fails to find the real cross-domain features.Unsupervised domain adaptation has garnered a great amount of attention and research in past decades. Among all the deep-based methods, the autoencoder-based approach has achieved sound performance for its fast convergence speed and a no-label requirement. The existing methods of autoencoders just serially connect the features generated by different autoencoders, which poses challenges for discriminative representation learning and which fails to find the real cross-domain features.Computer Sciences[#item_full_content]

Researchers at Carnegie Mellon University and Google DeepMind recently developed RoboTool, a system that can broaden the capabilities of robots, allowing them to use tools in more creative ways. This system, introduced in a paper published on the arXiv preprint server, could soon bring a new wave of innovation and creativity to the field of robotics.Researchers at Carnegie Mellon University and Google DeepMind recently developed RoboTool, a system that can broaden the capabilities of robots, allowing them to use tools in more creative ways. This system, introduced in a paper published on the arXiv preprint server, could soon bring a new wave of innovation and creativity to the field of robotics.Robotics[#item_full_content]

An experimental computing system physically modeled after the biological brain has “learned” to identify handwritten numbers with an overall accuracy of 93.4%. The key innovation in the experiment was a new training algorithm that gave the system continuous information about its success at the task in real time while it learned. The study was published in Nature Communications.An experimental computing system physically modeled after the biological brain has “learned” to identify handwritten numbers with an overall accuracy of 93.4%. The key innovation in the experiment was a new training algorithm that gave the system continuous information about its success at the task in real time while it learned. The study was published in Nature Communications.Hi Tech & Innovation[#item_full_content]

From ChatGPT to DALL-E, deep learning artificial intelligence (AI) algorithms are being applied to an ever-growing range of fields. A new study from University of Toronto Engineering researchers, published in Nature Communications, suggests that one of the fundamental assumptions of deep learning models—that they require enormous amounts of training data—may not be as solid as once thought.From ChatGPT to DALL-E, deep learning artificial intelligence (AI) algorithms are being applied to an ever-growing range of fields. A new study from University of Toronto Engineering researchers, published in Nature Communications, suggests that one of the fundamental assumptions of deep learning models—that they require enormous amounts of training data—may not be as solid as once thought.Machine learning & AI[#item_full_content]

Images of faces generated by artificial intelligence (AI) can now appear more real than pictures of real people—as long as they are white, a study said on Monday.Images of faces generated by artificial intelligence (AI) can now appear more real than pictures of real people—as long as they are white, a study said on Monday.Machine learning & AI[#item_full_content]

In the past year, AI image generators have experienced unprecedented popularity. With just a few clicks, all kinds of images can be created: even dehumanizing imagery and hate memes can be included. CISPA researcher Yiting Qu from the team of CISPA Faculty Dr. Yang Zhang has now investigated the proportion of these images among the most popular AI image generators and how their creation can be prevented with effective filters.In the past year, AI image generators have experienced unprecedented popularity. With just a few clicks, all kinds of images can be created: even dehumanizing imagery and hate memes can be included. CISPA researcher Yiting Qu from the team of CISPA Faculty Dr. Yang Zhang has now investigated the proportion of these images among the most popular AI image generators and how their creation can be prevented with effective filters.Computer Sciences[#item_full_content]

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]