In addition to the Nobel Prize announcements this month and the reactions and commentary that always follows, there’s been plenty of cool news science, enough that I’ve had to pick and curate.

• We might as well start with the image that has captured everyone’s imaginations this month. It’s an update to the iconic Pillars of Creation image originally taken by the Hubble Space Telescope in 1995. The new image was taken by the James Webb Space Telescope using its Near-Infrared Camera to view that region of space about 6,500 light-years away. The breathtaking visual captures proto-stars being formed amidst clouds of dust and gas, the powerful gravitic forces involved propelling the clouds of materials around to form these distinctive shapes.

• As amazing as that image was, the one article that captured my imagination this month is this one about implanting corticoid organelles into rats’ brains. I’ve covered the subject of these organelles before, but briefly these are small agglomerations of human nerve cells, cultivated from pluripotent stem cells. The idea is to study simplified versions of complex organs, this one being a simplified model of the brain. This particular experiment involved implanting the organelles into the part of the rat’s brains responsible for the sense of touch. After the human and rat nerve cells had connected up properly, they tested if the organelles could properly respond to sensory input, blowing air on the rats’ whiskers, and if it could direct the rat’s behavior. Both proved true and though the ethical issues with such work are worrying, it makes the important point that such artificial, simplified brains can in principle be made to integrate with live animals.
• Another great article is this one about how pandemics that happened far in the past continue to affect us today. Analyzing the DNA extracted from victims of the Black Death in the 14th century plus those who died many decades after the plague, the team pinpointed a variant of one particular gene that seems to confer some protection and showed how it became more pervasive in those who survived the plague. Experiments with cultured cells further showed that the variant version have macrophages better able to kill the bacterium that causes the plague. Yet there is a downside as this variant is also linked to a greater susceptibility to autoimmune disorders which essentially means that the immune system has been tuned to be overactive against all kinds of threats.
• I don’t like to put too much weight on socioeconomics studies so consider this as just one data point among many. This paper studying how participation in markets affect moral behavior uses data from experiments done in some villages in Greenland. After controlling for other factors, it finds that increased market participation leads to more universalism in moral decision-making, meaning that the villagers saw themselves as part of a wider community instead of valorizing their own co-villagers above outsiders. It’s the kind of finding that is intuitive and perhaps a little too good to be true but I certainly would like it to be.
• Next is another paper that is sure to be politicized. It summarizes the current state of knowledge regarding vegan and vegetarian diets to argue that strict adherence to a purely vegan diet results in too many nutrient deficiencies. In any case, our ancestors consumed plenty of meat, eggs and seafood so our bodies are adapted to it. The paper recommends a diet of mostly unprocessed plant-based foods balanced with modest amounts of wholesome animal foods.
• Finally here is a long article from Google about using AI techniques to discover novel algorithms. It uses the example of matrix multiplication that most people who have some mathematics education should know how to do. In 1969 the German mathematician Volker Strassen showed a way to do the calculation more efficiently at least on 2 x 2 matrices yet until now no one knows how to extend this to larger matrices or if even better algorithms are possible. The article talks about Google using a system they call AlphaTensor to gamify the process of searching for better algorithms and actually succeeds in finding novel solutions though it take a far mathematician than myself to understand how to use the new algorithm. Since matrix multiplication is used in many, many fields of computing even the slightest optimization makes a huge difference. But this also raises the old fear that AI-led discoveries will soon lead us into territory that human minds will struggle to understand.