Artificial intelligence-powered large language models (LLM) need to be trained on massive datasets to make accurate predictions—but what if researchers don’t have enough of the right type of data?Artificial intelligence-powered large language models (LLM) need to be trained on massive datasets to make accurate predictions—but what if researchers don’t have enough of the right type of data?Engineering[#item_full_content]

In an unfolding disaster situation, quick decisions need to be made on how to respond and where to direct resources, to preserve life and aid recovery efforts. With the rapid development of AI, unmanned aerial vehicles (UAVs) and satellite imagery, initial efforts have already been made to apply AI to disaster situations, giving quick insights to response teams and autonomously making decisions on relief operations. But while AI may speed up processes, there is a risk that errors or bias could have severe consequences.In an unfolding disaster situation, quick decisions need to be made on how to respond and where to direct resources, to preserve life and aid recovery efforts. With the rapid development of AI, unmanned aerial vehicles (UAVs) and satellite imagery, initial efforts have already been made to apply AI to disaster situations, giving quick insights to response teams and autonomously making decisions on relief operations. But while AI may speed up processes, there is a risk that errors or bias could have severe consequences.Engineering[#item_full_content]

To prevent crowd crush incidents like the Itaewon tragedy, it’s crucial to go beyond simply counting people and to instead have a technology that can detect the real-inflow and movement patterns of crowds. A KAIST research team has successfully developed new AI crowd prediction technology that can be used not only for managing large-scale events and mitigating urban traffic congestion, but also for responding to infectious disease outbreaks.To prevent crowd crush incidents like the Itaewon tragedy, it’s crucial to go beyond simply counting people and to instead have a technology that can detect the real-inflow and movement patterns of crowds. A KAIST research team has successfully developed new AI crowd prediction technology that can be used not only for managing large-scale events and mitigating urban traffic congestion, but also for responding to infectious disease outbreaks.Hi Tech & Innovation[#item_full_content]

Clock’s ticking: Get hands-on experience volunteering at TechCrunch Disrupt 2025

September 30 is the final deadline to apply to volunteer at TechCrunch Disrupt 2025 — and we’re officially in countdown mode. Whether you dream of launching your own startup, building community, or producing global-scale events, volunteering gives you an unmatched, behind-the-scenes look at how a world-class tech conference comes to life in San Francisco.September 30 is the final deadline to apply to volunteer at TechCrunch Disrupt 2025 — and we’re officially in countdown mode. Whether you dream of launching your own startup, building community, or producing global-scale events, volunteering gives you an unmatched, behind-the-scenes look at how a world-class tech conference comes to life in San Francisco.[#item_full_content]

Elizabeth Stone on what’s next for Netflix — and streaming itself — at TechCrunch Disrupt 2025

As Netflix’s CTO(and interim CPO) of, Elizabeth Stone is shaping the future of entertainment for over 300 million members worldwide. She’ll join the Disrupt Stage for a fireside chat on What’s Next for Netflix and for Streaming Itself, part of TechCrunch Disrupt 2025, happening October 27–29 at Moscone West in San Francisco, where 10,000+ startup and VC leaders will gather to shape the future of tech.As Netflix’s CTO(and interim CPO) of, Elizabeth Stone is shaping the future of entertainment for over 300 million members worldwide. She’ll join the Disrupt Stage for a fireside chat on What’s Next for Netflix and for Streaming Itself, part of TechCrunch Disrupt 2025, happening October 27–29 at Moscone West in San Francisco, where 10,000+ startup and VC leaders will gather to shape the future of tech.[#item_full_content]

5 days left to save up to $668 on your TechCrunch Disrupt 2025 pass

Register for TechCrunch Disrupt 2025 by September 26 and save up to $668 before Regular Bird pricing disappears.

Disrupt 2025 gives you an exclusive look at tomorrow’s tech. Founders can connect with the right investors and partners to scale their startups. Investors can discover their next portfolio company. Tech innovators and visionaries can glimpse the future of technology while building the connections that help them grow.Register for TechCrunch Disrupt 2025 by September 26 and save up to $668 before Regular Bird pricing disappears.

Disrupt 2025 gives you an exclusive look at tomorrow’s tech. Founders can connect with the right investors and partners to scale their startups. Investors can discover their next portfolio company. Tech innovators and visionaries can glimpse the future of technology while building the connections that help them grow.[#item_full_content]

Bluesky says it’s getting more aggressive about moderation and enforcement

It sounds like Bluesky is getting serious about giving some users the boot, with the company saying it will be doing more to “enforce our moderation policies to better cultivate a space for healthy conversations.”It sounds like Bluesky is getting serious about giving some users the boot, with the company saying it will be doing more to “enforce our moderation policies to better cultivate a space for healthy conversations.”[#item_full_content]

Probabilistic Ising machines (PIMs) are advanced and specialized computing systems that could tackle computationally hard problems, such as optimization or integer factorization tasks, more efficiently than classical systems. To solve problems, PIMs rely on interacting probabilistic bits (p-bits), networks of interacting units of digital information with values that randomly fluctuate between 0 and 1, but that can be biased to converge to yield desired solutions.Probabilistic Ising machines (PIMs) are advanced and specialized computing systems that could tackle computationally hard problems, such as optimization or integer factorization tasks, more efficiently than classical systems. To solve problems, PIMs rely on interacting probabilistic bits (p-bits), networks of interacting units of digital information with values that randomly fluctuate between 0 and 1, but that can be biased to converge to yield desired solutions.[#item_full_content]

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