The order creates a Justice Department task force to challenge state AI laws and directs the Commerce Department to pull future broadband funding from states that pass "onerous" legislation. President Donald Trump signed a highly anticipated executive order on Thursday that sets in motion a plan to establish a national regulatory framework for artificial intelligence while undercutting states' abilities to enact their own rules. The order, titled "Ensuring a National Policy Framework for Artificial Intelligence," creates an AI litigation task force within the Justice Department to directly challenge state AI laws the administration finds to conflict with federal policy. It also directs the Department of Commerce to craft guidelines that could make states ineligible for future broadband funding if they pass "onerous" AI laws. The push for sweeping federal preemption of state AI laws has largely been fueled by AI investors, conservative policy shops, and tech industry trade groups.

However, for some applications, this assumption is inappropriate.

As quantum chemical properties have a dependence on their geometries, graph neural networks (GNNs) using 3D geometric information have achieved high prediction accuracy in many tasks.

Further experimental details are described in Ref. [4]. Each spatiotemporal stimulus spanned over 400 ms corresponding to the retinal integration timescale. Figure 1: (a) The log-likelihood of empirical data for each PMF averaged over cells. Black line is the identity line. The central 20 20 arrays are shown.

Things to Do in L.A. Tap to enable a layout that focuses on the article. The California Department of Corrections and Rehabilitation operates a reentry facility across the street from MacArthur Park. Two inmates living at the facility were shot, one fatally, on Sept. 2. Voice comes from the use of AI. Please report any issues or inconsistencies here . One man was killed and another wounded outside a facility for state prisoners serving out the remainder of their sentences in the community.

How Trump's policies are affecting early-career scientists--in their own words Every year, we recognize extraordinary young researchers on our Innovators Under 35 list. Recent honorees told us how they're faring under the new administration. Every year celebrates accomplished young scientists, entrepreneurs, and inventors from around the world in our Innovators Under 35 list . We've just published the 2025 edition . This year, though, the context is pointedly different: The US scientific community finds itself in an unprecedented position, with the very foundation of its work under attack . Since Donald Trump took office in January, his administration has fired top government scientists, targeted universities individually and academia more broadly, and made substantial funding cuts to the country's science and technology infrastructure .

After enough time has elapsed, the events that were presented close in time will gradually blend together, as illustrated in the bottom panel of Figure 1. We used the parameters presented in that work for the experiment with the adding problem used here. Table 1: Parameter values used for LSTM networks. Table 2: Parameter values used for LMU networks. "Coupled Oscillatory Recurrent Neural Network (coRNN): An Accurate and (Gradient) Stable Architecture for Learning Long Time Dependencies."

Emerging ethical approaches have attempted to filter pretraining material, but such approaches have been ad hoc and failed to take context into account. We offer an approach to filtering grounded in law, which has directly addressed the tradeoffs in filtering material.