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The creation of large-scale image datasets has enabled advances in the performance of computer vision models.

Though important, attribute modeling usually requires significant manual annotations and thus is labor-intensive.

How neuronal circuits achieve credit assignment remains a central unsolved question in systems neuroscience.

Study of 320,000 adults reveals there is no safe level of smoking, with even light smokers facing significantly higher risks of heart disease and early death.

The Israel Defense Forces struck Hamas "terrorist targets" in Gaza on Wednesday following the latest ceasefire violation threatening Israeli troops.

Logical Credal Networks or LCNs were recently introduced as a powerful probabilistic logic framework for representing and reasoning with imprecise knowledge.

Equal contribution; authors are listed in random order.

The grand challenge facing global agriculture today is the need to increase food production to feed a rapidly growing population, amid diminishing natural and human resources and climate pressures. With the global population expected to exceed 9.5 billion by 2050, and with several key resources being depleted (see sidebar), the agricultural community is turning to a digital revolution to secure the future of our food production. Touted Agriculture 4.0, this new movement is deploying digital technologies at scale, including field and aerial sensing, automation, and other smart devices to monitor and track resources and to improve operational efficiency. Artificial intelligence (AI) technologies are playing a central role in driving this revolution: enabling real-time decision support using spatiotemporal data collected on farms, augmenting human labor with automated decision making and robotics, estimating and forecasting risks due to extreme weather, and aiding in longer-term planning under climate-imposed uncertainties. To propel the development and deployment of AI tools and technologies for U.S. agriculture, since 2020 the U.S. Department of Agriculture's National Institute of Food and Agriculture (USDA NIFA) has made a strategic investment in five AI institutes.