Social media enthusiasts tend to spice up their text posts with emojis, images, audio, or video to attract more attention. Simple as it is, this technique makes scientific sense: multimodal information is found to be more effective in conveying emotions, as different modalities interact and enhance one another.Social media enthusiasts tend to spice up their text posts with emojis, images, audio, or video to attract more attention. Simple as it is, this technique makes scientific sense: multimodal information is found to be more effective in conveying emotions, as different modalities interact and enhance one another.Machine learning & AI[#item_full_content]

As artificial intelligence becomes more sophisticated and more capable of closely depicting reality, researchers at Carnegie Mellon University’s Human-Computer Interaction Institute (HCII) are working to ensure that the outputs of large language models are representative of the communities they reference.As artificial intelligence becomes more sophisticated and more capable of closely depicting reality, researchers at Carnegie Mellon University’s Human-Computer Interaction Institute (HCII) are working to ensure that the outputs of large language models are representative of the communities they reference.Machine learning & AI[#item_full_content]

From phones that can detect deepfake scams to autonomous intelligent vehicles, the disruptive potential of artificial intelligence took center stage as Mobile World Congress Shanghai kicked off Wednesday.From phones that can detect deepfake scams to autonomous intelligent vehicles, the disruptive potential of artificial intelligence took center stage as Mobile World Congress Shanghai kicked off Wednesday.Business[#item_full_content]

A team of software engineers at the University of California, working with one colleague from Soochow University and another from LuxiTec, has developed a way to run AI language models without using matrix multiplication. The team has published a paper on the arXiv preprint server describing their new approach and how well it has worked during testing.A team of software engineers at the University of California, working with one colleague from Soochow University and another from LuxiTec, has developed a way to run AI language models without using matrix multiplication. The team has published a paper on the arXiv preprint server describing their new approach and how well it has worked during testing.Software[#item_full_content]

In recent decades, many engineers have started developing artificial intelligence (AI)-based tools that can support the work of creative professionals, speeding up or enhancing the production of different types of content. These include computational models that can generate musical tracks and facilitate some aspects of music production.In recent decades, many engineers have started developing artificial intelligence (AI)-based tools that can support the work of creative professionals, speeding up or enhancing the production of different types of content. These include computational models that can generate musical tracks and facilitate some aspects of music production.Computer Sciences[#item_full_content]

Researchers led by Prof. Wang Rujing and Wang Liusan from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have established a learnable full-frequency transformer dual generative adversarial network (LFT-DGAN) to address the problem of underwater image quality degradation caused by various interferences.Researchers led by Prof. Wang Rujing and Wang Liusan from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have established a learnable full-frequency transformer dual generative adversarial network (LFT-DGAN) to address the problem of underwater image quality degradation caused by various interferences.Machine learning & AI[#item_full_content]

Recent advancements in large language models (LLMs) have raised the prospect of scalable, automated, and fine-grained political microtargeting on a scale previously unseen. For example, when integrated with existing databases of personal data, LLMs could tailor messages to appeal to the vulnerabilities and values of specific individuals, such that a 28 year-old, non-religious, liberal female with a college degree receives a very different message than a 61 year-old, religious, conservative male who only graduated from high school.Recent advancements in large language models (LLMs) have raised the prospect of scalable, automated, and fine-grained political microtargeting on a scale previously unseen. For example, when integrated with existing databases of personal data, LLMs could tailor messages to appeal to the vulnerabilities and values of specific individuals, such that a 28 year-old, non-religious, liberal female with a college degree receives a very different message than a 61 year-old, religious, conservative male who only graduated from high school.Machine learning & AI[#item_full_content]

Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one domain where human brains continue to dominate: energy efficiency.Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one domain where human brains continue to dominate: energy efficiency.Computer Sciences[#item_full_content]

Some of the world’s major music labels are suing music generation services Suno and Udio, accusing the startups of violating the copyrights of top artists to train their generative AI engines without permission.Some of the world’s major music labels are suing music generation services Suno and Udio, accusing the startups of violating the copyrights of top artists to train their generative AI engines without permission.Business[#item_full_content]

An Oregon State University doctoral student and researchers at Adobe have created a new, cost-effective training technique for artificial intelligence systems that aims to make them less socially biased.An Oregon State University doctoral student and researchers at Adobe have created a new, cost-effective training technique for artificial intelligence systems that aims to make them less socially biased.Computer Sciences[#item_full_content]