In News in focus, the development of a revolutionary (CAR-T) cancer therapy by a Munbai company at 1/10 the cost of similar products in the US, with several impressive innovations (and a clinical trial over 33 people). The coverage of Michel Talagrand’s 2024 Abel prize, the deteriorating state of scientific research in Russia, a review on how the Big Bang got its name (hint: it was on BBC 3), and remembering India’s Chipko tree-hugging women of Western Himalayas of 50 years ago. The development of signs for scientific terms to add to the Indian and American sign languages.
There is also an almost sleuthing story on the debates in the ecology community about the theory of “Mother Tree”, introduced by Suzanne Simard, about trees communicating among themselves by underground fungal networks, and thus creating a “wood wide web“. With mature trees favouring their own kin, a theory that critics in the field deem incompatible with evolutionary theory and more crucially missing supporting evidence. (Arguments from Simard that “the European male society hates the mother tree” concept do not help towards a rational denate. The Guardian now has a podcast about this debate.)
And another story on the (racial and gender) bias of AI image generators. With the conclusion that removing such biases goes through open sourcing. And regulation like the EU’s AI Act. that requires technical documentation on the training datasets. Plus a retrospective on the theory of bird-flight origins, with John Ostrom proposing in 1974 that the evolution to flight was ground-up rather than tree-down.
A cover-paper on IBM error correcting code for quantum computing that only requires each qubit to connect with six others (just like birds in murmuration only keep track of seven neighbours) for an error threshold less than 1%. (With the property that 12 logical qubits can be preserved for 10⁶ cyclces using 288 qubits in total.)
And celebrating the great work done by the 
Warwick is (again) running a 12-week summer programme bringing together some of the top student talents from data science, machine learning and artificial intelligence, all over the World, to work on real-world data science challenges and deliver positive social impact. Applications for DSSG 2023 are now OPEN! 
