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  1. 1
    Trump caught off guard by tropical storm threatening Gulf Coast▼Trump surprised to hear about tropical storm threatening Gulf Coast✉newsWorldPolitics11 h ago

    President Trump said he was surprised to learn a tropical storm was threatening the US Gulf Coast, according to CNN. The remark came as the storm system moved toward the region, raising questions about the administration's awareness of and preparedness for severe weather. The comment drew attention given the Gulf Coast's history of devastating hurricanes and the importance of prompt federal disaster response.

  2. 2
    NTIA Holds Listening Session on E-Rate and Screen Time●The E-Rate Program and Screen Time: NTIA Listening Session✉newsTechnologyInternet1 d ago

    The NTIA is holding a listening session examining the E-Rate program and its relationship to screen time in schools. E-Rate subsidises internet access for schools and libraries, and the session invites stakeholders to weigh in on how federal broadband funding intersects with concerns over students' device use and its effects on children's health and learning.

  3. 3
    Federal judge lets immigrants keep using clinics and Head Start▼Federal judge rules immigrants in Wisconsin, multiple other states can keep using clinics, Head Start and adult education✉newsWorldImmigration2 d ago

    A federal judge has ruled that immigrants in Wisconsin and several other states can continue accessing community health clinics, Head Start programs and adult education services. The decision blocks efforts to exclude them from these federally supported programs. The ruling matters for thousands of families who rely on the clinics and early-childhood and adult learning services, and it is likely to draw further legal and political attention.

  4. 4
    Federated Learning Meets oneM2M for Smarter IoT●Federated Learning Meets OneM2M: Smarter, Faster AI for the Internet of Things✉newsTechnologyInternet2 d ago

    A technical article discusses combining federated learning with the oneM2M standard to improve artificial intelligence for the Internet of Things. The approach would let connected devices train AI models collaboratively without sharing raw data, promising faster and more privacy-friendly intelligence across IoT networks. It highlights how standardised machine-to-machine platforms and decentralised learning could work together in future IoT deployments.