The Jordan School District – one of the largest districts in Utah – is partnering with SchoolAI to bring generative AI technologies into classrooms for personalized one-on-one tutoring, guidance, and support.
The National Science Foundation (NSF) announced this week the establishment of the first-ever NSF Regional Innovation Engines (NSF Engines), awarding 10 teams a potential $1.6 billion over the next decade.
Arizona State University (ASU) announced a new partnership with OpenAI – the AI research and deployment company behind ChatGPT – that will enable faculty and staff to explore the potential of generative AI to enhance teaching, learning, and discovery, while also ensuring increased levels of privacy and security.
The Federal Communications Commission (FCC) is moving to reestablish a new version of its Communications Security, Reliability, and Interoperability Council (CSRIC) advisory committee to take a look at how artificial intelligence (AI) and machine learning (ML) technologies can boost communications network security.
The National Association of State Chief Information Officers (NSACIO) has released a new AI blueprint which features 12 key considerations to help states during the development their own AI technology roadmaps.
The Software and Information Industry Association (SIIA), a software industry trade group, has released its Principles for the Future of AI in Education.
To better ensure resident safety, the city of Hobbs, N.M., has deployed an artificial intelligence-based gun detection video analytics platform.
Led by Code.org, a group of education and technology leaders have launched TeachAI, a new initiative focused on integrating AI education into primary and secondary curricula through new reports, policy recommendations, and public engagement opportunities.
The University of Florida (UF) is collaborating with 11 school districts across the Sunshine State to pilot a K-12 artificial intelligence (AI) education program this fall, according to a UF news release from Sept. 22.
A team of researchers from Stanford University’s Autonomous Systems Laboratory posit that artificial intelligence (AI) could enable a form of traffic congestion pricing that could make everyone at every income level better off.