CodeRabbit raises $16M to bring AI to code reviews
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CodeRabbit raises $16M to bring AI to code reviews

Code reviews — peer reviews of code that help devs improve code quality — are time-consuming. According to one source, 50% of companies spend two to five hours a week on them. Without enough people, code reviews can be overwhelming and take devs away from other important work. Harjot Gill thinks that code reviews can be […]

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Code reviews — peer reviews of code that help devs improve code quality — are time-consuming. According to one source, 50% of companies spend two to five hours a week on them. Without enough people, code reviews can be overwhelming and take devs away from other important work. Harjot Gill thinks that code reviews can be
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]

Researchers advocate for open and standardized human mobility dataon August 15, 2024 at 10:29 am
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Despite the vast amounts of human mobility data generated by smartphones, a lack of standardized formats, protocols, and privacy-protected open-source datasets hampers innovation across various sectors, including city planning, transportation design, public health, emergency response, and economic research. The absence of established benchmarks further complicates efforts to evaluate progress and share best practices.Despite the vast amounts of human mobility data generated by smartphones, a lack of standardized formats, protocols, and privacy-protected open-source datasets hampers innovation across various sectors, including city planning, transportation design, public health, emergency response, and economic research. The absence of established benchmarks further complicates efforts to evaluate progress and share best practices.[#item_full_content]

Global AI adoption is outpacing risk understanding, researchers warn
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As organizations rush to implement artificial intelligence (AI), a new analysis of AI-related risks finds significant gaps in our understanding, highlighting an urgent need for a more comprehensive approach.As organizations rush to implement artificial intelligence (AI), a new analysis of AI-related risks finds significant gaps in our understanding, highlighting an urgent need for a more comprehensive approach.Machine learning & AI[#item_full_content]

Watch how this shape-shifting wheel tackles uneven surfaces
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A team of engineers from several institutions in South Korea has developed a type of wheel with spokes that can be adjusted in real time to conform the wheel’s shape to uneven terrain. In their paper published in the journal Science Robotics, the group describes the principles behind their wheel design and how well it worked in two- and four-wheeled test models.A team of engineers from several institutions in South Korea has developed a type of wheel with spokes that can be adjusted in real time to conform the wheel’s shape to uneven terrain. In their paper published in the journal Science Robotics, the group describes the principles behind their wheel design and how well it worked in two- and four-wheeled test models.[#item_full_content]

AI social media vetting startup Ferretly secures $2.5M, launches election personnel screening tool
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AI social media vetting startup Ferretly secures $2.5M, launches election personnel screening tool

An AI social media vetting startup Ferretly has raised $2.5 million in seed funding and is launching a new platform designed to screen election personnel. Founded in 2019, Ferretly leverages AI to scan social media and publicly available online data to uncover potential risks and behaviors that traditional background checks may overlook. The startup is […]

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

An AI social media vetting startup Ferretly has raised $2.5 million in seed funding and is launching a new platform designed to screen election personnel. Founded in 2019, Ferretly leverages AI to scan social media and publicly available online data to uncover potential risks and behaviors that traditional background checks may overlook. The startup is
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]

A two-stage framework to improve LLM-based anomaly detection and reactive planning
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Large language models (LLMs), such as OpenAI’s ChatGPT, are known to be highly effective in answering a wide range of user queries, generalizing well across many natural language processing (NLP) tasks. Recently, some studies have also been exploring the potential of these models for detecting and mitigating robotic system failures.Large language models (LLMs), such as OpenAI’s ChatGPT, are known to be highly effective in answering a wide range of user queries, generalizing well across many natural language processing (NLP) tasks. Recently, some studies have also been exploring the potential of these models for detecting and mitigating robotic system failures.Robotics[#item_full_content]

A two-stage framework to improve LLM-based anomaly detection and reactive planning
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Large language models (LLMs), such as OpenAI’s ChatGPT, are known to be highly effective in answering a wide range of user queries, generalizing well across many natural language processing (NLP) tasks. Recently, some studies have also been exploring the potential of these models for detecting and mitigating robotic system failures.Large language models (LLMs), such as OpenAI’s ChatGPT, are known to be highly effective in answering a wide range of user queries, generalizing well across many natural language processing (NLP) tasks. Recently, some studies have also been exploring the potential of these models for detecting and mitigating robotic system failures.[#item_full_content]

Experiments reveal LLMs develop their own understanding of reality as their language abilities improve
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Ask a large language model (LLM) like GPT-4 to smell a rain-soaked campsite, and it’ll politely decline. Ask the same system to describe that scent to you, and it’ll wax poetic about “an air thick with anticipation” and “a scent that is both fresh and earthy,” despite having neither prior experience with rain nor a nose to help it make such observations. One possible explanation for this phenomenon is that the LLM is simply mimicking the text present in its vast training data, rather than working with any real understanding of rain or smell.Ask a large language model (LLM) like GPT-4 to smell a rain-soaked campsite, and it’ll politely decline. Ask the same system to describe that scent to you, and it’ll wax poetic about “an air thick with anticipation” and “a scent that is both fresh and earthy,” despite having neither prior experience with rain nor a nose to help it make such observations. One possible explanation for this phenomenon is that the LLM is simply mimicking the text present in its vast training data, rather than working with any real understanding of rain or smell.Machine learning & AI[#item_full_content]

Convolutional neural networks show promise for enhancing facial recognition technology
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Convolutional neural networks show promise for enhancing facial recognition technology

Thermal, infrared (IR), facial recognition technology has advanced apace recently. Research published in the International Journal of Information and Communication Technology, moves us another step toward a tenable system that overcomes some of the limitations of traditional visible-light systems.Thermal, infrared (IR), facial recognition technology has advanced apace recently. Research published in the International Journal of Information and Communication Technology, moves us another step toward a tenable system that overcomes some of the limitations of traditional visible-light systems.Machine learning & AI[#item_full_content]

Stoke Space’s initial launch plans at Cape Canaveral take shape
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Stoke Space’s initial launch plans at Cape Canaveral take shape

Stoke Space is nothing if not ambitious. The five-year-old launch startup has generated a lot of hype due to its bold plans to develop the first fully reusable rocket, with both the booster and second stage vertically returning to Earth.  Those plans got a major boost a year ago, when the U.S. Space Force awarded […]

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

Stoke Space is nothing if not ambitious. The five-year-old launch startup has generated a lot of hype due to its bold plans to develop the first fully reusable rocket, with both the booster and second stage vertically returning to Earth.  Those plans got a major boost a year ago, when the U.S. Space Force awarded
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]

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