Data Science, AI & Robotics News

New UC Berkeley Initiative Uses AI Research to Solve Climate Problems

For years, UC Berkeley snow hydrologist Manuela Girotto has combined disparate remote sensing datasets from satellites into models to understand snow as a water resource. In an era of extreme drought and climate change, her work is increasingly urgent. A recent rapid expansion of available observations from space could unlock important insights. But integrating that amount of data into researchers’ existing models is difficult. So when Berkeley computer science doctoral candidate Colorado Reed reached out asking how artificial intelligence could help, she saw an opportunity.

UC Berkeley Launches Sky Computing Lab to Revolutionize the Cloud Industry

UC Berkeley formally launched this week The Sky Computing Lab aimed at establishing a two-sided market mediated by services that identify and harness for users the best combination of compatible clouds for their needs and building a new backbone for interconnected cloud computing, a milestone that would revolutionize the industry.

‘Off label’ Use of Imaging Databases Could Lead to Bias in AI Algorithms, Study Finds

Significant advances in artificial intelligence (AI) over the past decade have relied upon extensive training of algorithms using massive, open-source databases. But when such datasets are used “off label” and applied in unintended ways, the results are subject to machine learning bias that compromises the integrity of the AI algorithm, according to a new study by researchers at the University of California, Berkeley, and the University of Texas at Austin.

HYPPO: Leveraging Prediction Uncertainty to Optimize Deep Learning Models for Science

Leveraging support from the Laboratory Directed Research and Development (LDRD) program at Lawrence Berkeley National Laboratory (Berkeley Lab), a team of researchers in the Computing Sciences Area has developed a new software tool for conducting hyperparameter optimization (HPO) of deep neural networks while taking into account the prediction uncertainty that arises from using stochastic optimizers for training the models.

New Kavli Center at UC Berkeley to Foster Ethics, Engagement in Science

UC Berkeley announced that the campus will be home to a new Kavli Center for Ethics, Science, and the Public, which, alongside a second center at the University of Cambridge in the United Kingdom, will connect scientists, ethicists, social scientists, science communicators and the public in necessary and intentional discussions about the potential impacts of scientific discoveries.