The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Abstract: In the field of computational linguistics, addressing machine translation (MT) challenges for low-resource languages remains crucial, as these languages often lack extensive data compared to ...
Mass shootings in white-majority neighborhoods received roughly twice the news coverage of mass shootings in neighborhoods ...
The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
Wikipedia unveiled new business deals with a slew of artificial intelligence companies on Thursday as it marked its 25th ...
Michael Skinnider and his team have developed DeepMet, a large language model–guided program that can assign a structure to ...
Abstract: The rapid expansion of large language models (LLMs) has led to increasingly frequent interactions between LLM agents and human users, motivating new questions about their capacity to form ...
AI personas are increasingly being used in the mental health field, such as for training and research. I share recent ...
English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...
Salesforce has launched a rebuilt Slackbot AI agent for Slack that can search enterprise data, draft documents, and take ...
Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...
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