“The world's first supercomputer capable of simulating networks at the scale of the human brain has been announced by researchers from the International Centre for Neuromorphic Systems (ICNS) at Western Sydney University. DeepSouth uses a neuromorphic system which mimics biological processes, using hardware to efficiently emulate large networks of spiking neurons at 228 trillion synaptic operations per second - rivalling the estimated rate of operations in the human brain. DeepSouth stands apart from other supercomputers as it is purpose-built to operate like networks of neurons, requiring less power and enabling greater efficiencies.” (Western Sydney University)

“Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics. In a paper published in Nature today, the researchers say it is the first time a large language model has been used to discover a solution to a long-standing scientific puzzle—producing verifiable and valuable new information that did not previously exist. “It’s not in the training data—it wasn’t even known,” says coauthor Pushmeet Kohli, vice president of research at Google DeepMind. After a couple of million suggestions and a few dozen repetitions of the overall process—which took a few days—FunSearch was able to come up with code that produced a correct and previously unknown solution to the cap set problem, which involves finding the largest size of a certain type of set. Imagine plotting dots on graph paper. The cap set problem is like trying to figure out how many dots you can put down without three of them ever forming a straight line.” (MIT Technology Review)