A Complete Guide to Matrices for Machine Learning with Python
Matrices are a key concept not only in linear algebra but also with regard to their prominent application and use in machine learning (ML) and data science.
Matrices are a key concept not only in linear algebra but also with regard to their prominent application and use in machine learning (ML) and data science.
This paper delves into the challenging task of Active Speaker Detection (ASD), where the system needs to determine in real-time whether a person is speaking or not in a series of video frames. While previous works have made significant strides in improving network architectures and learning effective representations for ASD, a critical gap exists in …
Read more “An Efficient and Streaming Audio Visual Active Speaker Detection System”
Based on original post by Dr. Hemant Joshi, CTO, FloTorch.ai A recent evaluation conducted by FloTorch compared the performance of Amazon Nova models with OpenAI’s GPT-4o. Amazon Nova is a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry-leading price-performance. The Amazon Nova family of models includes Amazon Nova Micro, Amazon …
Read more “Benchmarking Amazon Nova and GPT-4o models with FloTorch”
As AI creates opportunities for business growth and societal benefits, we’re working to reduce their carbon intensity through efforts like optimizing software, improving hardware efficiency, and supporting our operations with carbon-free energy. At Google, we’re committed to understanding the entirety of our environmental impact so we can apply the best, boldest, and most holistic solutions. …
Read more “How Google Cloud measures its climate impact through Life Cycle Assessment (LCA)”
PlayStation characters may one day engage you in theoretically endless conversations, if a new internal technology video bares out.Read More
The latest 15-inch MacBook Air is bluer and better than ever before—and it dropped in price.
Language models — often known for the acronym LLM for Large Language Models, their large-scale version — fuel powerful AI applications like conversational chatbots, AI assistants, and other intelligent text and content generation apps.
This post is in two parts; they are: • Understanding the Encoder-Decoder Architecture • Evaluating the Result of Summarization using ROUGE DistilBart is a “distilled” version of the BART model, a powerful sequence-to-sequence model for natural language generation, translation, and comprehension.
Investment professionals face the mounting challenge of processing vast amounts of data to make timely, informed decisions. The traditional approach of manually sifting through countless research documents, industry reports, and financial statements is not only time-consuming but can also lead to missed opportunities and incomplete analysis. This challenge is particularly acute in credit markets, where …
GenLayer is betting that AI-driven contracts, enforced on the blockchain, will be the foundation for a trillion-dollar marketplace.Read More