An analysis of recent guidance and emerging best practices on counsel’s ethical duty to be technologically proficient, with a focus on counsel’s obligations in the context of e-discovery and ...
Tian, Y. (2025) Artificial Intelligence Acceptance of High School English Teachers and Its Influencing Factors —Mixed Research Based on the UNESCO Framework for Teachers’ AI Competence. Open Journal ...
Objectives Work stress is a threat to the well-being of nurses in China and also globally, and many studies have been conducted on the risk factors for stress symptoms. However, research on the ...
Periculum Security Group stated that the new training model was developed in response to these gaps. Rather than focusing ...
Nov 27 (Reuters) - Top Chinese firms are training their artificial intelligence models abroad to access Nvidia's (NVDA.O), opens new tab chips and avoid U.S. measures aimed at curbing their progress ...
(Reuters) -Top Chinese firms are training their artificial intelligence models abroad to access Nvidia's chips and avoid U.S. measures aimed at curbing their progress in advanced technology, Financial ...
Anthropic is starting to train its models on new Claude chats. If you’re using the bot and don’t want your chats used as training data, here’s how to opt out. Anthropic is prepared to repurpose ...
Bottom line: China's DeepSeek has released detailed cost figures for training its R1 artificial intelligence model, providing rare insight into its development and drawing renewed scrutiny of the ...
Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. Amidst all the ...
In this article, we argue in favor of a promising paradigm for training physicians: competency-based medical education (CBME). 10 CBME takes an outcomes-based approach in training learners to become ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
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