Lifeboat Foundation

The shimmering of butterfly wings in bright colors does not emerge from pigments. Rather, photonic crystals are responsible for the play of colors. Their periodic nanostructure allows light at certain wavelengths to pass through while reflecting other wavelengths. This causes the wing scales, which are in fact transparent, to appear so magnificently colored.

Here’s a nice article discussing the progress of the brain-computer interface industry, some existing startups in the space, and where the industry may go in the future.

Fifty years after the term brain–computer interface was coined, the neurotechnology is being pursued by an array of start-up companies using a variety of different technologies. But the path to clinical and commercial success remains uncertain.

Australian researchers have shed light on the shape-shifting capabilities of protein assemblies, with results that could revolutionize fields from biomanufacturing to vaccine development.

The transcript features an interview with renowned science fiction author Isaac Asimov, discussing his predictions and visions for the future of space exploration, computers, robotics, and humanity’s role in shaping that future. It touches on concepts like permanent space settlements, harnessing solar power, the increasing importance of computers and AI, the impacts of robotics on jobs, and taking an optimistic yet cautionary view of technological progress. It also covers some earlier inaccurate and exaggerated predictions about robots replacing humans, as well as actual technological developments in 1982 like artificial hearts and fusion reactors. The overall theme is Asimov’s hopeful but measured outlook on future scientific and technological advancements.

New Year’s Eve is often a night filled with celebratory shots and champagne toasts. But as the party night fast approaches, one doctor is gently reminding folks the importance of partying responsibly during the holidays. Really, it’s a piece of advice that’s important all year long.

Dr. Brian Hoeflinger, an Ohio based neurosurgeon with over two decades of experience, has a TikTok channel filled with educational videos and lifestyle tips. But it’s his latest clip explaining just how long it takes our bodies to break down alcohol that has gone viral.

In the video, which was shared on Christmas Day, Dr. Hoeflinger sets the scene of a party where “a lot of drinks are going down” by setting up a bunch of shot glasses filled with water.

Over 350 million surgeries are performed globally each year. For most of us, it’s likely at some point in our lives we’ll have to undergo a procedure that needs general anaesthesia.

Even though it is one of the safest medical practices, we still don’t have a complete, thorough understanding of precisely how anaesthetic drugs work in the brain.

In fact, it has largely remained a mystery since general anaesthesia was introduced into medicine over 180 years ago.

Researchers at the Francis Crick Institute, the National Cancer Institute (NCI) of the U.S. National Institutes of Health (NIH) and Aalborg University in Denmark have found that vitamin D encourages the growth of a type of gut bacteria in mice which improves immunity to cancer.

Reported today in Science, the researchers found that mice given a diet rich in vitamin D had better immune resistance to experimentally transplanted cancers and improved responses to immunotherapy treatment. This effect was also seen when gene editing was used to remove a protein that binds to vitamin D in the blood and keeps it away from tissues.

Surprisingly, the team found that vitamin D acts on epithelial cells in the intestine, which in turn increase the amount of a bacteria called Bacteroides fragilis. This microbe gave mice better immunity to cancer as the transplanted tumours didn’t grow as much, but the researchers are not yet sure how.

Mr Arbaugh said that the device has given him the ability to have nearly full control over using a computer, using only his thoughts.

Since the release of ChatGPT in November 2022, artificial intelligence (AI) has both entered the common lexicon and sparked substantial public intertest. A blunt yet clear example of this transition is the drastic increase in worldwide Google searches for ‘AI’ from late 2022, which reached a record high in February 2024.

You would therefore be forgiven for thinking that AI is suddenly and only recently a ‘big thing.’ Yet, the current hype was preceded by a decades-long history of AI research, a field of academic study which is widely considered to have been founded at the 1956 Dartmouth Summer Research Project on Artificial Intelligence.¹ Since its beginning, a meandering trajectory of technical successes and ‘AI winters’ subsequently unfolded, which eventually led to the large language models (LLMs) that have nudged AI into today’s public conscience.

Alongside those who aim to develop transformational AI as quickly as possible – the so-called ‘Effective Accelerationism’ movement, or ‘e/acc’ – exist a smaller and often ridiculed group of scientists and philosophers who call attention to the inherent profound dangers of advanced AI – the ‘decels’ and ‘doomers.’² One of the most prominent concerned figures is Nick Bostrom, the Oxford philosopher whose wide-ranging works include studies of the ethics of human enhancement,³ anthropic reasoning,⁴ the simulation argument,⁵ and existential risk.⁶ I first read his 2014 book Superintelligence: Paths, Dangers, Strategies⁷ five years ago, which convinced me that the risks which would be posed to humanity by a highly capable AI system (a ‘superintelligence’) ought to be taken very seriously before such a system is brought into existence. These threats are of a different kind and scale to those posed by the AIs in existence today, including those developed for use in medicine and healthcare (such as the consequences of training set bias,⁸ uncertainties over clinical accountability, and problems regarding data privacy, transparency and explainability),⁹ and are of a truly existential nature. In light of the recent advancements in AI, I recently revisited the book to reconsider its arguments in the context of today’s digital technology landscape.