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.[#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]

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.[#item_full_content]

Sensi.AI grabs $31M Series B from Insight, Zeev to monitor seniors 24/7

Older adults increasingly want to age in their homes rather than nursing facilities. A study by the American Association of Retired People (AARP) found that nearly 90% of people over 65 want to stay in their homes as they grow older. That means there is plenty of work for home care agencies whose staff assist […]

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Older adults increasingly want to age in their homes rather than nursing facilities. A study by the American Association of Retired People (AARP) found that nearly 90% of people over 65 want to stay in their homes as they grow older. That means there is plenty of work for home care agencies whose staff assist
© 2024 TechCrunch. All rights reserved. For personal use only.[#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]

10 of the most exciting digital health startups of 2024, according to VCs

In the post-COVID world, VCs say it’s not as easy to get excited about investing in digital health. Deal activity in healthcare IT was relatively flat in Q1 2024 at 74 total deals, valued at about $1 billion total, up only 3% from the year-ago quarter, according to PitchBook data.  Still, promising startups have grabbed […]

© 2024 TechCrunch. All rights reserved. For personal use only.

In the post-COVID world, VCs say it’s not as easy to get excited about investing in digital health. Deal activity in healthcare IT was relatively flat in Q1 2024 at 74 total deals, valued at about $1 billion total, up only 3% from the year-ago quarter, according to PitchBook data.  Still, promising startups have grabbed
© 2024 TechCrunch. All rights reserved. For personal use only.[#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.[#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]

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