A group of scientists from Harvard University have observed and reconstructed the human brain at the resolution of the electron microscope, with all its cells, following all the connections between its neurons around a cubic millimeter of a tissue sample. They took 10 years and the data occupies 1.4 petabytes (1,400 terabytes). However, they are already planning a bigger project.
Artificial intelligence recently roiled the regulatory world, but the U.S. Congress has yet to dive into the task of legislating on the concept. Barrett Tenbarge, general counsel for Sen. Bill Cassidy (R-La.) told an audience here in the nation’s capital that while the Senate is considering several legislative proposals, the desire to avoid legislation that will create as many problems as it solves suggest that legislative development “is a long-term process.”
As the average cost of new drug R&D continues to skyrocket, the perception around using artificial intelligence (AI) as a tool to boost drug discovery is changing. “Developing new AI-based drugs is a difficult task, not only for Korea but also for countries with leading AI technology,” Hyeyun Jung, principal researcher of Korea Health Industry Development Institute’s Center for Health Industry Policy, told the audience at the Bio Korea meeting on May 9. “But there is a change in perception; [namely that] applying AI to new drug development is not an option but a necessity.”