An Osaka Metropolitan University-led research team conducted a review that examined the theoretical foundations of Artificial Superintelligence and explored how misaligned AI systems could optimize for wrong objectives, leading to patient harm and systemic failures.

Using satellite imagery and government data, researchers measured a 5 percent increase in voluntary, or non-subsidized, cover crop adoption by Arkansas farmers. Using data from 2013-2019, agricultural economists with the experiment station showed that cover crop adoption in Arkansas had the greatest association with a soybean-to-soybean cash crop rotation. The finding came out of research seeking to pinpoint how farmers were using cover crops and where, to help policymakers develop more targeted incentives for using cover crops.  

Environmental pollutants such as ozone can damage the internal structure of plants and impair their growth and productivity. Conventional assessments requiring sample processing may not accurately reflect internal damage. A new study highlights the application of a novel ‘optical coherence tomography’ scanner for the non-invasive temporal assessment of live plants exposed to ozone. The technique can aid the timely detection of deficiencies and stress-induced damage, thereby supporting better plant management and improving crop productivity.  

In an Annenberg Public Policy Center white paper, biostatistician Jeffrey Morris of the University of Pennsylvania's Perelman School of Medicine analyzes the U.S. vaccine safety monitoring system and suggests how its components, including VAERS, can be improved.