Nature

Role of the human-in-the-loop in emerging self-driving laboratories for heterogeneous catalysis

Self-driving laboratories (SDLs) represent a cutting-edge convergence of machine learning with laboratory automation. SDLs operate in active learning loops, in which a machine learning algorithm plans ...
The Hill

Warren urges Amazon to fix algorithm ‘feeding misinformation loops’

Sen. Elizabeth Warren (D-Mass.) is urging Amazon to create a plan to modify its algorithm after her staff found books spreading misinformation about the COVID-19 pandemic prominently displayed in ...
VentureBeat

New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...
Nature

A benchmarking study of quantum algorithms for combinatorial optimization

Combinatorial optimization problems are ubiquitous in modern science, engineering, and medicine. These problems are often NP-hard, so the runtime of classical algorithms for solving them is expected ...
Harvard Medical School

Impact Assessment of Human-Algorithm Feedback Loops

Nathan Matias and Lucas Wright provide useful tools to understand how adaptive algorithms can make an impact on individuals and society. "This field review provides an introduction to the challenges ...