Such causal graphs delineate the relations among alarms and can significantly aid engineers in identifying and rectifying faults. However, existing methods either ignore the topological relationships among devices or suffer from relatively low scalability and efficiency, failing to deliver high-quality responses in a timely manner.

Forum members discuss their discomfort with mass deportation efforts, debate how federal agents have interacted with civilians, and complain about their working conditions. Every day, people log in to an online forum for current and former Homeland Security Investigations (HSI) officers to share their thoughts on the news of the day and complain about their colleagues in Immigration and Customs Enforcement (ICE). "ERO is too busy dressing up as Black Ops Commandos with Tactical body armor, drop down thigh rigs, balaclavas, multiple M4 magazines, and Punisher patches, to do an Admin arrest of a non criminal, non-violent EWI that weighs 90 pounds and is 5 foot 2, inside a secure Federal building where everyone has been screened for weapons," wrote one user in July 2025. The forum describes itself as a space for current and prospective HSI agents, "designed for the seasoned HSI Special Agent as well as applicants for entry level Special Agent positions." HSI is the division within ICE whose agents are normally responsible for investigating crimes like drug smuggling, terrorism, and human trafficking.

Multivariate time series (MTS) forecasting has shown great importance in numerous industries.

"Robot, make me a chair" Computer-aided design (CAD) systems are tried-and-true tools used to design many of the physical objects we use each day. But CAD software requires extensive expertise to master, and many tools incorporate such a high level of detail they don't lend themselves to brainstorming or rapid prototyping. In an effort to make design faster and more accessible for non-experts, researchers from MIT and elsewhere developed an AI-driven robotic assembly system that allows people to build physical objects by simply describing them in words. Their system uses a generative AI model to build a 3D representation of an object's geometry based on the user's prompt. Then, a second generative AI model reasons about the desired object and figures out where different components should go, according to the object's function and geometry.