The biggest story in tech is AI's increasing capacity to take on tasks once reserved for human beings. But the agents driving that change aren't machines. They're humans-inventive, ambitious, enterprising ones. Our third annual roundup of some of the field's most intriguing players includes scientists and ethicists, CEOs and investors, big-tech veterans and first-time founders. These 20 innovators are tackling challenges from training tomorrow's AI models to speeding drug discovery to reimagining everyday productivity tools.
In those five years, AlphaFold 2 and its successor AI models have become almost as fundamental and ubiquitous tools of biochemical research as microscopes, petri dishes, and pipettes. The AI models have begun to transform the way scientists search for new medicines, promising faster and more successful drug development. And they are starting to help scientists work on solutions to everything from ocean pollution to creating crops that are more resilient to climate change.
Silicon Valley's obsession with software has created a blind spot, and it might be where the next AI revolution begins, said Reid Hoffman. The LinkedIn cofounder said on an episode of the a16z podcast published Monday that the tech industry's "everything should be done in software" mindset has become a limitation. That belief, which fueled decades of Silicon Valley success, now risks keeping innovators from seeing new opportunities, Hoffman said.
Neural networks are some of the most promising artificial intelligence (AI) models. These systems process data similarly to the human brain, passing information through a complex network of nodes in the same way information goes through layers of neurons. That makes them capable of solving complicated problems in minimal time, which is particularly advantageous in the medical industry. Drug discovery is a vital but challenging process.