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]
A team of engineers from the University of Illinois has published the first known study documenting the long-jumping motion of 3-D-printed insect-scale robots.A team of engineers from the University of Illinois has published the first known study documenting the long-jumping motion of 3-D-printed insect-scale robots.[#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.[#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]
The subtle adhesive forces that allow geckos to seemingly defy gravity, cling to walls and walk across ceilings have inspired a team of researchers in South Korea to build a robotic device that can pick up and release delicate materials without damage. The team, based at Kyungpook National University and Dong-A University, has published their research work in Science and Technology of Advanced Materials. The researchers are hoping it can be applied to the transfer of objects by robotic systems.The subtle adhesive forces that allow geckos to seemingly defy gravity, cling to walls and walk across ceilings have inspired a team of researchers in South Korea to build a robotic device that can pick up and release delicate materials without damage. The team, based at Kyungpook National University and Dong-A University, has published their research work in Science and Technology of Advanced Materials. The researchers are hoping it can be applied to the transfer of objects by robotic systems.[#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]
2035 Offshore Wind Data Explorer
The post 2035 Offshore Wind Data Explorer appeared first on Energy Innovation: Policy and Technology.
The post 2035 Offshore Wind Data Explorer appeared first on Energy Innovation: Policy and Technology.[#item_full_content]
