Lifeboat Foundation

For vulnerable premature babies, an incubator in the neonatal intensive care unit (NICU) is a lifesaver, but the consequences can last a lifetime. Many studies have shown that the NICU is a noisy environment and that babies who spend time there have higher rates of hearing impairment, which can lead to delays in language acquisition. Scientists from Vienna, Hamburg, Munich, and Osnabruck set out to investigate the role of the incubator, an underestimated element in the soundscape that surrounds babies during their time in the NICU.

“The motivation of our multidisciplinary research team concerns the question: why many more premature babies suffer hearing impairments,” said Dr. Christoph Reuter from the University of Vienna, corresponding author of the study published in Frontiers in Pediatrics. “We believe that what we have measured in our studies could be a leading cause. However, to understand how to protect premature infants from such noise levels, precise environment information is needed.”

Premature babies experience noise in incubators very differently to the uterus environment. Amniotic fluid muffles sound from outside the uterus, and most sounds heard in utero will be low-frequency sounds, with almost no abrupt noises. By contrast, sounds in incubators are much less muffled with many high-frequency components and abrupt noises. Although recommended noise limits have been established, these are often exceeded, especially when incubators are handled or opened.

Johns Hopkins researchers break ground on new field of ‘organoid intelligence’.

According to researchers at Johns Hopkins University, a “biocomputer” powered by human brain cells could be developed within our lifetime. This technology is expected to exponentially expand the capabilities of modern computing and open up new areas of research.

The team’s plan for “organoid intelligence” was outlined in a recent article published in the journal Frontiers in Science.

Summary: Using a new technology called The Virtual Brain, researchers are able to create personalized computerized brain models of individual patients based on their anatomy, structural connectivity, and brain dynamics.

Source: Human Brain Project.

In the current edition of The Lancet Neurology, researchers of the Human Brain Project (HBP) present the novel clinical uses of advanced brain modeling methods.

Researchers have created a computer simulation of early universe in the epoch after the Big Bang. It’s designed to help them interpret real data in future.

Manipulating anything in the world of quantum physics is tricky, but now, scientists have managed to manipulate quantum light particles that have a strong relationship with each other. The breakthrough sounds a bit obscure, especially if you aren’t studying quantum mechanics yourself, but it’s a huge success that will be fundamental in how scientists study the quantum realm from here forward.

The ability to be creative has always been a big part of what separates human beings from machines. But today, a new generation of “generative” artificial intelligence (AI) applications is casting doubt on how wide that divide really is!

Tools like ChatGPT and Dall-E give the appearance of being able to carry out creative tasks — such as writing a poem or painting a picture — in a way that’s often indistinguishable from what we can do ourselves.

Does this mean that computers are truly being creative? Or are they simply giving the impression of creativity while, in reality, simply following a set of pre-programmed or probabilistic rules provided by us?

Continue reading “The Intersection Of AI And Human Creativity: Can Machines Really Be Creative?” »

Generative AI, the technology behind ChatGPT, is going supernova, as astronomers say, outshining other innovations for the moment. But despite alarmist predictions of AI overlords enslaving mankind, the technology still requires human handlers and will for some time to come.

While AI can generate content and code at a blinding pace, it still requires humans to oversee the output, which can be low quality or simply wrong. Whether it be writing a report or writing a computer program, the technology cannot be trusted to deliver accuracy that humans can rely on. It’s getting better, but even that process of improvement depends on an army of humans painstakingly correcting the AI model’s mistakes in an effort to teach it to ‘behave.’

Humans in the loop is an old concept in AI. It refers to the practice of involving human experts in the process of training and refining AI systems to ensure that they perform correctly and meet the desired objectives.

Microsoft Teams has been totally overhauled to run faster and have a more simplified interface.

Microsoft is overhauling its Teams app today to make it faster and easier to use. Microsoft Teams has been rebuilt from the ground up, with a new preview available today for businesses to try out this radical rework that has been years in the making.

“The new Teams is faster, simpler, and more flexible than ever before,” says Sumi Singh, CVP of engineering for Microsoft Teams, in an interview with The Verge. “We’ve made tremendous strides in performance and usability. The new Teams is 2x faster while using 50 percent fewer resources.”

Continue reading “The new Microsoft Teams is here with big performance improvements and UI changes” »

Apple has quietly acquired a Mountain View-based startup, WaveOne, that was developing AI algorithms for compressing video.

Apple wouldn’t confirm the sale when asked for comment. But WaveOne’s website was shut down around January, and several former employees, including one of WaveOne’s co-founders, now work within Apple’s various machine learning groups.

WaveOne’s former head of sales and business development, Bob Stankosh, announced the sale in a LinkedIn post published a month ago.