Machine learning researchers at Apple have developed an application that can accept a simple drawing and a text description to animate the drawing in desired ways. Tiffany Tseng, Ruijia Cheng and Jeffrey Nichols have published a paper describing the new app, called Keyframer, on the arXiv preprint server.Machine learning researchers at Apple have developed an application that can accept a simple drawing and a text description to animate the drawing in desired ways. Tiffany Tseng, Ruijia Cheng and Jeffrey Nichols have published a paper describing the new app, called Keyframer, on the arXiv preprint server.[#item_full_content]
Machine learning researchers at Apple have developed an application that can accept a simple drawing and a text description to animate the drawing in desired ways. Tiffany Tseng, Ruijia Cheng and Jeffrey Nichols have published a paper describing the new app, called Keyframer, on the arXiv preprint server.Machine learning researchers at Apple have developed an application that can accept a simple drawing and a text description to animate the drawing in desired ways. Tiffany Tseng, Ruijia Cheng and Jeffrey Nichols have published a paper describing the new app, called Keyframer, on the arXiv preprint server.Computer Sciences[#item_full_content]
It is winter, the typical time for colds. What if you could simulate how the disease may spread? At the Cluster of Excellence Collective Behavior at the University of Konstanz, Julia Klein, a doctoral student in computer science, and colleagues investigated how using strict, rule-based methods can help better estimate the parameters for Markov chains. The findings are published in the journal PLOS ONE.It is winter, the typical time for colds. What if you could simulate how the disease may spread? At the Cluster of Excellence Collective Behavior at the University of Konstanz, Julia Klein, a doctoral student in computer science, and colleagues investigated how using strict, rule-based methods can help better estimate the parameters for Markov chains. The findings are published in the journal PLOS ONE.[#item_full_content]
The U.S. Federal Trade Commission moved to put new rules into place around impersonation, citing the rising threat of scams enabled by generative artificial intelligence.The U.S. Federal Trade Commission moved to put new rules into place around impersonation, citing the rising threat of scams enabled by generative artificial intelligence.Machine learning & AI[#item_full_content]
The maker of ChatGPT on Thursday unveiled its next leap into generative artificial intelligence with a tool that instantly makes short videos in response to written commands.The maker of ChatGPT on Thursday unveiled its next leap into generative artificial intelligence with a tool that instantly makes short videos in response to written commands.Business[#item_full_content]
Researchers have developed a new machine-learning technique that helps computer systems predict future data patterns and optimize how information gets stored. They found these predictions could provide up to a 40% speed boost on real-world data sets.Researchers have developed a new machine-learning technique that helps computer systems predict future data patterns and optimize how information gets stored. They found these predictions could provide up to a 40% speed boost on real-world data sets.Software[#item_full_content]
If we train artificial intelligence (AI) systems on biased data, they can, in turn, make biased judgments that affect hiring decisions, loan applications, and welfare benefits—to name just a few real-world implications. With this fast-developing technology potentially causing life-changing consequences, how can we make sure that humans train AI systems on data that reflects sound ethical principles?If we train artificial intelligence (AI) systems on biased data, they can, in turn, make biased judgments that affect hiring decisions, loan applications, and welfare benefits—to name just a few real-world implications. With this fast-developing technology potentially causing life-changing consequences, how can we make sure that humans train AI systems on data that reflects sound ethical principles?Security[#item_full_content]
A research team at Los Alamos National Laboratory is using artificial intelligence to address several critical shortcomings in large-scale malware analysis, making significant advancements in the classification of Microsoft Windows malware and paving the way for enhanced cybersecurity measures. Using their approach, the team has set a new world record in classifying malware families.A research team at Los Alamos National Laboratory is using artificial intelligence to address several critical shortcomings in large-scale malware analysis, making significant advancements in the classification of Microsoft Windows malware and paving the way for enhanced cybersecurity measures. Using their approach, the team has set a new world record in classifying malware families.Security[#item_full_content]
By integrating an ensemble of privacy-preserving algorithms, a KAUST research team has developed a machine-learning approach that addresses a significant challenge in medical research: How to use the power of artificial intelligence (AI) to accelerate discovery from genomic data while protecting the privacy of individuals.By integrating an ensemble of privacy-preserving algorithms, a KAUST research team has developed a machine-learning approach that addresses a significant challenge in medical research: How to use the power of artificial intelligence (AI) to accelerate discovery from genomic data while protecting the privacy of individuals.Security[#item_full_content]
For better or worse, artificial intelligence is permeating our lives. It can edit student term papers, help playwrights craft dramas and assist doctors in treating patients.For better or worse, artificial intelligence is permeating our lives. It can edit student term papers, help playwrights craft dramas and assist doctors in treating patients.Machine learning & AI[#item_full_content]
