The step size, often referred to as the learning rate, plays a pivotal role in optimizing the efficiency of the stochastic gradient descent (SGD) algorithm. In recent times, multiple step size strategies have emerged for enhancing SGD performance. However, a significant challenge associated with these step sizes is related to their probability distribution, denoted as ηt/ΣTt=1ηt .The step size, often referred to as the learning rate, plays a pivotal role in optimizing the efficiency of the stochastic gradient descent (SGD) algorithm. In recent times, multiple step size strategies have emerged for enhancing SGD performance. However, a significant challenge associated with these step sizes is related to their probability distribution, denoted as ηt/ΣTt=1ηt .[#item_full_content]

Anonymous authentication plays a crucial role in privacy-focused applications, and it is used for authenticating a user’s identity in a privacy-preserving way. If enough privacy is provided, malicious users may misuse privacy. Accountability is necessary to avoid abusing anonymity. Previous anonymous authentication schemes can not hold the basic requirements of public linking and tracing while further ensuring access control simultaneously.Anonymous authentication plays a crucial role in privacy-focused applications, and it is used for authenticating a user’s identity in a privacy-preserving way. If enough privacy is provided, malicious users may misuse privacy. Accountability is necessary to avoid abusing anonymity. Previous anonymous authentication schemes can not hold the basic requirements of public linking and tracing while further ensuring access control simultaneously.[#item_full_content]

Have you ever felt reluctant to share ideas during a meeting because you feared judgment from senior colleagues? You’re not alone. Research has shown this pervasive issue can lead to a lack of diversity in public discourse, especially when junior members of a community don’t speak up because they feel intimidated.Have you ever felt reluctant to share ideas during a meeting because you feared judgment from senior colleagues? You’re not alone. Research has shown this pervasive issue can lead to a lack of diversity in public discourse, especially when junior members of a community don’t speak up because they feel intimidated.[#item_full_content]

Researchers at Tohoku University and the University of California, Santa Barbara, have unveiled a probabilistic computer prototype. Manufacturable with a near-future technology, the prototype combines a complementary metal-oxide semiconductor (CMOS) circuit with a limited number of stochastic nanomagnets, creating a heterogeneous probabilistic computer.Researchers at Tohoku University and the University of California, Santa Barbara, have unveiled a probabilistic computer prototype. Manufacturable with a near-future technology, the prototype combines a complementary metal-oxide semiconductor (CMOS) circuit with a limited number of stochastic nanomagnets, creating a heterogeneous probabilistic computer.[#item_full_content]

It’s a sign of the times: an app store for omics enthusiasts. The Multi-Omics Analysis Portal (MAP) by the end of 2024 will be a one-stop shop for computer applications capable of making sense of various and vast omics data. Genomics, proteomics, lipidomics, transcriptomics—all are welcome.It’s a sign of the times: an app store for omics enthusiasts. The Multi-Omics Analysis Portal (MAP) by the end of 2024 will be a one-stop shop for computer applications capable of making sense of various and vast omics data. Genomics, proteomics, lipidomics, transcriptomics—all are welcome.[#item_full_content]

Deepfakes—essentially putting words in someone else’s mouth in a very believable way—are becoming more sophisticated by the day and increasingly hard to spot. Recent examples of deepfakes include Taylor Swift nude images, an audio recording of President Joe Biden telling New Hampshire residents not to vote, and a video of Ukrainian President Volodymyr Zelenskyy calling on his troops to lay down their arms.Deepfakes—essentially putting words in someone else’s mouth in a very believable way—are becoming more sophisticated by the day and increasingly hard to spot. Recent examples of deepfakes include Taylor Swift nude images, an audio recording of President Joe Biden telling New Hampshire residents not to vote, and a video of Ukrainian President Volodymyr Zelenskyy calling on his troops to lay down their arms.[#item_full_content]

Clear guidelines should be established for the generation and processing of synthetic data to ensure transparency, accountability and fairness, a new study says.Clear guidelines should be established for the generation and processing of synthetic data to ensure transparency, accountability and fairness, a new study says.[#item_full_content]

A new report led by researchers from UCL finds that the most popular artificial intelligence (AI) tools discriminate against women and people of different cultures and sexualities.A new report led by researchers from UCL finds that the most popular artificial intelligence (AI) tools discriminate against women and people of different cultures and sexualities.[#item_full_content]

Research led by Minyi Guo, published in Frontiers of Computer Science, addresses the challenge of reducing storage overhead in blockchain systems while maintaining data consistency and tolerating malicious nodes.Research led by Minyi Guo, published in Frontiers of Computer Science, addresses the challenge of reducing storage overhead in blockchain systems while maintaining data consistency and tolerating malicious nodes.[#item_full_content]

A team of computer scientists at the University of Massachusetts Amherst working on two different problems—how to quickly detect damaged buildings in crisis zones and how to accurately estimate the size of bird flocks—recently announced an AI framework that can do both. The framework, called DISCount, blends the speed and massive data-crunching power of artificial intelligence with the reliability of human analysis to quickly deliver reliable estimates that can quickly pinpoint and count specific features from very large collections of images.A team of computer scientists at the University of Massachusetts Amherst working on two different problems—how to quickly detect damaged buildings in crisis zones and how to accurately estimate the size of bird flocks—recently announced an AI framework that can do both. The framework, called DISCount, blends the speed and massive data-crunching power of artificial intelligence with the reliability of human analysis to quickly deliver reliable estimates that can quickly pinpoint and count specific features from very large collections of images.[#item_full_content]