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1 week ago |
cacm.acm.org | Sam Greengard |Allyn Jackson |Bennie Mols
Nothing is more fundamentally human than identity. How we think about ourselves shapes our experiences and how we navigate the world. Yet, the idea of identity existing as a unique quality anchored to a specific individual is undergoing change.
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1 week ago |
cacm.acm.org | Gregory Mone |Allyn Jackson |Bennie Mols |Doug Meil
This year, U.S. rail carrier Amtrak will be installing two novel inspection gateways from Duos Technologies along its busy Northeast Corridor. The barn-like Duos structures straddle railway tracks; as passenger trains speed through at up to 125 miles per hour, 97 cameras and dozens of LED lights arrayed around the sides, top, and bottom of the tracks will capture thousands of high-resolution images of the railcars.
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1 week ago |
cacm.acm.org | Bennie Mols |Allyn Jackson |Doug Meil
It was only 15 to 20 years ago that social media platforms like Facebook, Twitter (now X), YouTube, and Instagram were hailed as drivers of social connections, multipliers of knowledge and experiences, and even as catalysts for better-functioning democracy.
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1 week ago |
cacm.acm.org | Allyn Jackson |Bennie Mols |Doug Meil
Partial differential equations (PDEs) are workhorses of science and engineering. They describe a vast range of phenomena, from flow around a ship’s hull, to acoustics in a concert hall, to heat diffusion in a material.
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2 weeks ago |
cacm.acm.org | Bennie Mols |Sam Greengard
Liquid networks can learn to associate cause and effect, which makes them suitable for robots and other real-world applications. When Daniela Rus and her collaborators looked at how a deep neural network made decisions in the vision system of their laboratory’s self-driving car, they noticed that its attention was focused on the entire image, even the bushes and trees at the side of the road.
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2 weeks ago |
cacm.acm.org | Angelica Lo Duca |Bennie Mols |Sam Greengard |Mario Antoine Aoun
We often work with various datasets ranging from healthcare and tourism to finance. As technical experts, we excel at analyzing them, building sophisticated models, and crafting visually appealing dashboards. Yet, one skill we often overlook is communicating these insights to people who don’t share our domain expertise.
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1 month ago |
cacm.acm.org | Sam Greengard |Bennie Mols
The ability of artificial intelligence (AI) to sift through mountains of information and deliver useful results is rapidly reshaping the way people learn, work, and handle numerous tasks. Yet, for all the convenience and value Generative AI and large language models (LLMs) deliver, they have a problem. Despite delivering text, video, and images that appear accurate and convincing, they sometimes hallucinate.
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Nov 20, 2024 |
scilogs.spektrum.de | Bennie Mols
How do the learning processes of humans and machines differ? What impact will AI systems like ChatGPT have on future education? These were two of the core questions at the Hot Topic panel discussion, ‘The Paradox of Artificial Intelligence’, at the Heidelberg Laureate Forum (HLF). AI has surpassed top human players in board games like chess and go, it can learn from much more data than any human on earth and it sometimes recognizes patterns that elude experts.
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Aug 13, 2024 |
cacm.acm.org | Jake Widman |Doug Meil |Bennie Mols |Herbert Bruderer
Conventional wisdom has consigned the facsimile to the dustbin of obsolete technology, along with answering machines and Rolodexes. One tech observer summed up this view in 2020, writing that “the rise of personal computing, the Internet, specifically email, and the advent of the PDF file format all colluded to kill the fax machine.”As it turns out, reports of faxing’s death are greatly exaggerated.
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Aug 12, 2024 |
cacm.acm.org | Neil Savage |Doug Meil |Bennie Mols |Herbert Bruderer
In the nearly two years since its release, ChatGPT has shown some remarkably human-like behavior, from trying to seduce a journalist to acing the bar exam. That has left some people wondering whether computers are approaching human levels of intelligence. Most computer scientists do not think machines are the intellectual equals of people yet, but they have not developed a consensus on how to measure intelligence, or what exactly to measure.