While some districts have already blocked access to the artificial intelligence chatbot, some educators have advised against knee-jerk reactions. Since ChatGPT launched Nov. 30, the artificial intelligence technology has sparked concerns about the potential impact on education, including students' use of the technology to plagiarize schoolwork. Districts that have already blocked access to ChatGPT include New York City Public Schools, Los Angeles Unified School District and Virginia's Fairfax County Public Schools, according to Forbes. The chatbot, created by San Francisco-based OpenAI, generates human-like responses based on prompts given by users. The free research preview of ChatGPT can be used for anything from explaining quantum computing in simple terms to gathering creative ideas for a 10-year-old's birthday, as well as writing essays, poems, cover letters and even movie scripts.

New York City schools have banned ChatGPT, the artificial intelligence chatbot that generates human-like writing including essays, amid fears that students could use it to cheat. According to the city's education department, the tool will be forbidden across all devices and networks in New York's public schools. Jenna Lyle, a department spokesperson, said the decision stems from "concerns about negative impacts on student learning, and concerns regarding the safety and accuracy of contents". ChatGPT was created by OpenAI, an independent artificial intelligence research foundation co-founded by Elon Musk in 2015. Released last November, OpenAI's chatbot is able to create stunningly human-like responses to a wide range of questions and various writing prompts. ChatGPT is trained on a large sample of text taken from the internet and interacts with users in a dialogue format.

The idea of taking compute out of the data center, and bringing it as close as possible to where data is generated, is seeing lots of traction. Estimates for edge computing growth are in the 40% CAGR, $50 billion area. Increasingly, data generated at the edge are used to feed applications powered by machine learning models. TinyML is a fast-growing field of machine learning technologies and applications that enable machine learning to work at the edge. It includes hardware, algorithms and software capable of performing on-device sensor data analytics at extremely low power, hence enabling a variety of always-on use-cases.