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]
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
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 […]
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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]
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]
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]
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
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
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 […]
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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]
Announcing the final agenda for the SaaS Stage at TechCrunch Disrupt 2024
Software as a service (SaaS) is an ever-evolving industry. We’ll talk to some of the brightest minds and leaders in the industry — executives from early- and late-stage SaaS companies, leaders from the infrastructure companies that power the industry and the venture capitalists who fund them. Explore and enjoy by joining us at the SaaS […]
© 2024 TechCrunch. All rights reserved. For personal use only.
Software as a service (SaaS) is an ever-evolving industry. We’ll talk to some of the brightest minds and leaders in the industry — executives from early- and late-stage SaaS companies, leaders from the infrastructure companies that power the industry and the venture capitalists who fund them. Explore and enjoy by joining us at the SaaS
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]
From data breaches to widespread systemic shutdowns, cyberattacks like the 2024 Fulton County (Georgia) government attack now occur as regularly as natural disasters—and cause just as much destruction. And, like severe weather, they can be predicted thanks to a new artificial intelligence (AI) tool that analyzes social media to determine who could cause the next big cyberattack.From data breaches to widespread systemic shutdowns, cyberattacks like the 2024 Fulton County (Georgia) government attack now occur as regularly as natural disasters—and cause just as much destruction. And, like severe weather, they can be predicted thanks to a new artificial intelligence (AI) tool that analyzes social media to determine who could cause the next big cyberattack.Security[#item_full_content]
