Lifeboat Foundation

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 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 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 “over-solving” 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 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.

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 deep neural networks,” 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.

“This research result is a significant milestone for both longevity research and the application of artificial intelligence to drug discovery,” 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 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.

We’re currently working with companies that develop software and tools that make surgery smarter and safer while they empower surgeons and providers to improve patient outcomes, enhance operational efficiency and increase profitability with data-driven surgery using AI, automation and operating room analytics. This is where analytic components such as data lakes and warehouses are already making a difference in healthcare. We’ve seen them capable of powering millions of facts and patient records at a time. Tied to expertise, these tools allow data-informed decisions for measurable improvements in clinical, financial and operational aspects.

For instance, we’ve helped design and develop surgical applications to improve operating room efficiency, tele-surgery, data lake construction and surgical analytics. Clients come back with feedback on our skills and technical experience, feeling supported by the flexibility and technical boost we give their teams.

Collaboration between technology outsourcing companies and healthcare providers can result in considerable optimization, including improved patient care and maximized processes. Tech providers can strive for the perfect collaborative balance with the above key conversations while boosting robust ecosystems, shared platforms and data.

A soft robot inserted through a hole in the skull can deploy six sensor-filled legs on the surface of the brain to monitor electrical activity. The design has been tested in miniature pigs and could someday help people who experience epileptic seizures.

By Jeremy Hsu

The new rollout offers around 70 third-party plugins designed to enhance the capabilities of ChatGPT.