According to Andrew Ng (@AndrewYNg), Redisinc experts @tchutch94 and @ilzhechev have launched a new course on semantic caching for AI agents. This course demonstrates how semantic caching technology ...

Most vector search systems struggle with a basic problem: how to break complex documents into searchable pieces. The typical approach is to split text into fixed size chunks of 200 to 500 tokens, this ...

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python Tropical Storm ...

SOUTHWICK — When the Master Plan Implementation Committee met for the first time last December, its chair, Norman Cheever, summed up what was in store for the committee: “We need to decide how we’re ...

Dr. McBain studies policies and technologies that serve vulnerable populations. On any given night, countless teenagers confide in artificial intelligence chatbots — sharing their loneliness, anxiety ...

Abstract: This paper outlines a movie recommendation system that has been proposed and implemented using Python and Streamlit and which relies on content-based filters solely to recommend films that ...

The Zone is getting a 5.5.4 makeover, with devs whispering they might even take a look at UE5.6. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

Younger generations are shifting toward specialized, multi-platform search, and surprisingly high trust in AI is accelerating the trend, according to new survey data. Why we care. Searching is no ...

There seems to be a bug using PQ computation when cosine similarity is used as the index metric in combination with CUDA. Using PQ based index with CUDA accelleration and the cosine similarity metric ...

Scientific Games has introduced GameChoice, a product recommendation engine for lottery play, utilizing artificial intelligence and the company's SG Analytics. The system is designed to enhance the ...