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Category: robotics/AI – Page 1,324

OpenAI CEO Raising $100 Million to Scan Every Eyeball on Earth

😀 😍

Sam Altman, the CEO of OpenAI, apparently has more up his sleeve than bringing about the AI apocalypse.

As the Financial Times reports, Altman is in advanced talks to secure around $100 million for Worldcoin, another of his ventures.

Worldcoin’s promise is hazy at best, but seems to involve scanning everybody’s eye and giving them some amount of crypto. The project’s verbiage invokes OpenAI’s vision of powerful automation that will lead to an era of plenty, promising it will usher in a “path to AI-funded UBI.”

Friend or foe: Defining industry responsibility based technology

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Specifically, the arrival of AI-based tools such as ChatGPT and DALL-E have dazzled us with their dynamic capabilities as well as unnerved us with their staggering potential. The current debate on AI is hinged on broad philosophical questions and the public’s response. What do people make of all this?

AI Triumph: ChatGPT Passes Radiology Exams

Summary: ChatGPT has successfully passed a radiology board-style exam, demonstrating the potential of large language models in medical contexts. The study utilized 150 multiple-choice questions mimicking the style and difficulty of the Canadian Royal College and American Board of Radiology exams.

ChatGPT, based on the GPT-3.5 model, answered 69% of questions correctly, just under the passing grade of 70%. However, an updated version, GPT-4, managed to exceed the passing threshold with a score of 81%, showcasing significant improvements, particularly in higher-order thinking questions.

Compression algorithms run on AI hardware to simulate nature’s most complex systems

High-performance computing (HPC) has become an essential tool for processing large datasets and simulating nature’s most complex systems. However, researchers face difficulties in developing more intensive models because Moore’s Law—which states that computational power doubles every two years—is slowing, and memory bandwidth still cannot keep up with it. But scientists can speed up simulations of complex systems by using compression algorithms running on AI hardware.

A team led by computer scientist Hatem Ltaief are tackling this problem head-on by employing designed for (AI) to help scientists make their code more efficient. In a paper published in the journal High Performance Computing, they now report making simulations up to 150 times faster in the diverse fields of climate modeling, astronomy, seismic imaging and wireless communications.

Previously, Ltaief and co-workers showed that many scientists were riding the wave of hardware development and “over-solving” their models, carrying out lots of unnecessary calculations.

Your iPhone’s AI brain will soon be able to speak in your voice

Since the system is designed to help those who are losing their voices due to motor or cognitive impairment, the training is also flexible. If you can’t do a 15-minute training session, you can stop and start until you’ve made it through all the sentences. In addition, the training system is self-guided, so there’s no screen-tapping necessary.

While the system is not designed as a voice-over system, you can use Personal Vocie to save often-used phrases like “How are you?” “Thank you,” and “Where is the bathroom?”

Personal Voice will live under Settings/Accessibility on the iPhone, iPad, and Mac, and works with any of these devices running Apple silicon. For now, it only supports English.

Artificial intelligence identifies anti-aging drug candidates targeting ‘zombie’ cells

A new publication in the May issue of Nature Aging by researchers from Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning to target aging, demonstrates the power of artificial intelligence (AI) to discover novel senolytic compounds, a class of small molecules under intense study for their ability to suppress age-related processes such as fibrosis, inflammation and cancer.

The paper, “Discovering small-molecule senolytics with ,” authored in collaboration with researchers from the Massachusetts Institute of Technology (MIT) and the Broad Institute of MIT and Harvard, describes the AI-guided screening of more than 800,000 compounds to reveal three with comparable efficacy and superior medicinal chemistry properties than those of senolytics currently under investigation.

“This research result is a for both longevity research and the application of artificial intelligence to ,” said Felix Wong, Ph.D., co-founder of Integrated Biosciences and first author of the publication. “These data demonstrate that we can explore chemical space in silico and emerge with multiple candidate anti-aging compounds that are more likely to succeed in the clinic, compared to even the most promising examples of their kind being studied today.”

One of us! Engineers fool fish school into accepting robotic koi

One fish, swimming alone, encountering a robotic fish impersonator will be wary and tend to avoid the robot, but a group of real fish are more likely to accept the robot as one of their own, and sometimes even abandon other real fish to follow the robot.

Those are the findings of engineers from Peking University and China Agricultural University who created a realistic koi fish robot, and placed one or two in a tank with real fish to see how they would respond.

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