Year 2020 o.o!!!
AI startup FutureAI has announced that its neural simulator software successfully tested one billion neurons on a desktop computer comprised completely of off-the-shelf components.
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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.
Continue reading “OpenAI CEO Raising $100 Million to Scan Every Eyeball on Earth” »
Over 12 years, researchers mapped all of a larval fruit flyâs brain, charting 3,016 neurons and 548,000 connections. Itâs big news for neuroscience.
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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 publicâs response. What do people make of all this?
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.
High-performance computing (HPC) has become an essential tool for processing large datasets and simulating natureâs most complex systems. However, researchers face difficulties in developing more intensive models because Mooreâs Lawâwhich states that computational power doubles every two yearsâis 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 hardware designed for artificial intelligence (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 âover-solvingâ their models, carrying out lots of unnecessary calculations.
This simulation models a huge number of atoms in detail with the help of artificial intelligence.
By Alex Wilkins
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 canât do a 15-minute training session, you can stop and start until youâve made it through all the sentences. In addition, the training system is self-guided, so thereâs 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 âHow are you?â âThank you,â and âWhere is the bathroom?â
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.
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, âDiscovering small-molecule senolytics with deep neural networks,â 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 drug candidates with comparable efficacy and superior medicinal chemistry properties than those of senolytics currently under investigation.
âThis research result is a significant milestone for both longevity research and the application of artificial intelligence to drug discovery,â said Felix Wong, Ph.D., co-founder of Integrated Biosciences and first author of the publication. âThese 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.â
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.
