While the stock market may love the term “AI,” companies haven’t figured out how to optimally monetize the services that go along with it.
Category: robotics/AI – Page 656
ML only contributing branch of AI elements ML missing in intelligent agent View of AI by Norvig, Russell. View of AI by John McCarthy. View by Nils Nilsson.
This might be a game-changing tool for accelerating scientific research.
An international group of scientists has begun work on developing a ChatGPT-like tool to accelerate scientific discovery. In recent years, scientists have been leveraging artificial intelligence (AI) for the purpose of advancing scientific research and exploration.
AI’s capability to analyze extensive datasets, simulate complex phenomena, and aid researchers in modeling and comprehending intricate systems has the potential to be a game-changer in various fields, including but not limited to medicine, astronomy, climate science, and materials research.
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It is. based on reinforcement learning algorithms (RL) to allow for quick robot movement.
Robotic dogs have a massive hurdle in autonomous navigation in crowded spaces. Robot navigation in crowds has applications in various fields, including shopping mall service robots, transportation, healthcare, etc.
To facilitate rapid and efficient movement, developing new methods is crucial to enable robots to navigate crowded spaces and obstacles safely.
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Putting a greater emphasis on the development of AGI — artificial general intelligence. CEO Sam Altman has described AGI as “the equivalent of a median human that you could hire as a co-worker.”
The AI startup says its singular goal is to build “safe, beneficial” artificial general intelligence, noting that anything else is “out of scope.”
Scroll Prize.
But they were so delicate and prone to turn ash if mishandled that they couldn’t be read. Previous scientists studying the scrolls could make out some Greek letters and symbols and even trained a machine-learning algorithm to read the blank ink of Herculaneum.
In the realm of healthcare, change has always been met with resistance. It took considerable time for the medical community to accept the stethoscope as a valuable tool in patient care. Similarly, it will take a while for Artificial Intelligence (AI) to be recognized as a full-fledged health tool, despite its immense potential to revolutionize the healthcare industry. However, when A.I. eventually takes its rightful place in healthcare, it will displace the stethoscope as its symbol. Let’s dive into how AI is poised to transform the way we approach healthcare.
When asked to design a robot that can walk, an AI told researchers to check out this blob thing.
Feizi and his coauthors looked at how easy it is for bad actors to evade watermarking attempts. (He calls it “washing out” the watermark.) In addition to demonstrating how attackers might remove watermarks, the study shows how it’s possible to add watermarks to human-generated images, triggering false positives. Released online this week, the preprint paper has yet to be peer-reviewed, but Feizi has been a leading figure in AI detection, so it’s worth paying attention to, even at this early stage.
It’s timely research. Watermarking has emerged as one of the more promising strategies to identify AI-generated images and text. Just as physical watermarks are embedded on paper money and stamps to prove authenticity, digital watermarks are meant to trace the origins of images and text online, helping people spot deepfaked videos and bot-authored books. With the US presidential elections on the horizon in 2024, concerns over manipulated media are high—and some people are already getting fooled. Former US president Donald Trump, for instance, shared a fake video of Anderson Cooper on his Truth Social platform; Cooper’s voice had been AI-cloned.
This summer, OpenAI, Alphabet, Meta, Amazon, and several other major AI players pledged to develop watermarking technology to combat misinformation. In late August, Google’s DeepMind released a beta version of its new watermarking tool, SynthID. The hope is that these tools will flag AI content as it’s being generated, in the same way that physical watermarking authenticates dollars as they’re being printed.