How do neural networks work? It’s a question that can confuse novices and experts alike. A team from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) says that understanding these representations, as well as how they inform the ways that neural networks learn from data, is crucial for improving the interpretability, efficiency, and generalizability of deep learning models.How do neural networks work? It’s a question that can confuse novices and experts alike. A team from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) says that understanding these representations, as well as how they inform the ways that neural networks learn from data, is crucial for improving the interpretability, efficiency, and generalizability of deep learning models.[#item_full_content]

Over the past year, AI researchers have found that when AI chatbots such as ChatGPT find themselves unable to answer questions that satisfy users’ requests, they tend to offer false answers. In a new study, as part of a program aimed at stopping chatbots from lying or making up answers, a research team added Chain of Thought (CoT) windows. These force the chatbot to explain its reasoning as it carries out each step on its path to finding a final answer to a query.Over the past year, AI researchers have found that when AI chatbots such as ChatGPT find themselves unable to answer questions that satisfy users’ requests, they tend to offer false answers. In a new study, as part of a program aimed at stopping chatbots from lying or making up answers, a research team added Chain of Thought (CoT) windows. These force the chatbot to explain its reasoning as it carries out each step on its path to finding a final answer to a query.[#item_full_content]

A research collaboration between Shanghai Jiao Tong University, Shanghai Qi Zhi Institution, and Huawei Technologies has introduced BAFT, a cutting-edge autosave system for AI training that minimizes downtime and optimizes efficiency.A research collaboration between Shanghai Jiao Tong University, Shanghai Qi Zhi Institution, and Huawei Technologies has introduced BAFT, a cutting-edge autosave system for AI training that minimizes downtime and optimizes efficiency.[#item_full_content]

Researchers at Kumamoto University have made a significant advance in the field of control engineering by developing a highly accurate mathematical modeling technique for linear periodically time-varying (LPTV) systems. This pioneering research, led by Associate Professor Hiroshi Okajima of the Faculty of Advanced Science and Technology, opens new possibilities for improving technologies such as autonomous driving, robotics, and satellite navigation.Researchers at Kumamoto University have made a significant advance in the field of control engineering by developing a highly accurate mathematical modeling technique for linear periodically time-varying (LPTV) systems. This pioneering research, led by Associate Professor Hiroshi Okajima of the Faculty of Advanced Science and Technology, opens new possibilities for improving technologies such as autonomous driving, robotics, and satellite navigation.[#item_full_content]

The ability to generate high-quality images quickly is crucial for producing realistic simulated environments that can be used to train self-driving cars to avoid unpredictable hazards, making them safer on real streets.The ability to generate high-quality images quickly is crucial for producing realistic simulated environments that can be used to train self-driving cars to avoid unpredictable hazards, making them safer on real streets.[#item_full_content]

When groups make decisions—whether it’s humans aligning on a shared idea, robots coordinating tasks, or fish deciding where to swim—not everyone contributes equally. Some individuals have more reliable information, whereas others are more connected and have higher social influence.When groups make decisions—whether it’s humans aligning on a shared idea, robots coordinating tasks, or fish deciding where to swim—not everyone contributes equally. Some individuals have more reliable information, whereas others are more connected and have higher social influence.[#item_full_content]

Many companies invest heavily in hiring talent to create the high-performance library code that underpins modern artificial intelligence systems. NVIDIA, for instance, developed some of the most advanced high-performance computing (HPC) libraries, creating a competitive moat that has proven difficult for others to breach.Many companies invest heavily in hiring talent to create the high-performance library code that underpins modern artificial intelligence systems. NVIDIA, for instance, developed some of the most advanced high-performance computing (HPC) libraries, creating a competitive moat that has proven difficult for others to breach.[#item_full_content]

A hospital that wants to use a cloud computing service to perform artificial intelligence data analysis on sensitive patient records needs a guarantee those data will remain private during computation. Homomorphic encryption is a special type of security scheme that can provide this assurance.A hospital that wants to use a cloud computing service to perform artificial intelligence data analysis on sensitive patient records needs a guarantee those data will remain private during computation. Homomorphic encryption is a special type of security scheme that can provide this assurance.[#item_full_content]

Teaching machines in the way that animal trainers mold the behavior of dogs or horses has been an important method for developing artificial intelligence and one that was recognized Wednesday with the top computer science award.Teaching machines in the way that animal trainers mold the behavior of dogs or horses has been an important method for developing artificial intelligence and one that was recognized Wednesday with the top computer science award.[#item_full_content]

Nikita Belyakov and Svetlana Illarionova, researchers from the Skoltech AI Center, presented a new method for semantic segmentation of multispectral data, which can be used to recognize clouds, shadows, and snow patches in satellite images. This approach will increase the accuracy of recognizing complex climatic structures in images without additional human involvement in data annotation.Nikita Belyakov and Svetlana Illarionova, researchers from the Skoltech AI Center, presented a new method for semantic segmentation of multispectral data, which can be used to recognize clouds, shadows, and snow patches in satellite images. This approach will increase the accuracy of recognizing complex climatic structures in images without additional human involvement in data annotation.[#item_full_content]