Speaking News You Can USE!
Alexander Kuznetsov, Voctiv: “Voice Bots That Can Speak Like Humans Are in Demand Worldwide”
We met with Alexander Kuznetsov, co-founder and CBDO of Voctiv, a developer of voice assistants based on artificial intelligence. The company was founded in 2020 in the United States and now operates worldwide. We discussed with Alexander why businesses need...
Enhancing AI Model’s Scalability and Performance: A Study on Multi-Head Mixture-of-Experts
Large capacity models, such as Large Language Models (LLMs) and Large Multi-modal Models (LMMs), have demonstrated effectiveness across various domains and tasks. Scaling up these models by increasing parameter count enhances performance but significantly reduces...
Neural Flow Diffusion Models (NFDM): A Novel Machine Learning Framework that Enhances Diffusion Models by Supporting a Broader Range of Forward Processes Beyond the Fixed Linear Gaussian
The probabilistic machine learning class, generative models, has many uses in different domains, including the visual and performing arts, the medical industry, and even physics. To generate new samples that are similar to the original data, generative models are very...
Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with a Staggering 480B Parameters
Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness and accessibility. This model leverages a unique Dense-MoE Hybrid...
Computer vision researcher develops privacy software for surveillance videos
Computer vision can be a valuable tool for anyone tasked with analyzing hours of footage because it can speed up the process of identifying individuals. For example, law enforcement may use it to perform a search for individuals with a simple query, such as 'Locate...
Bringing the End-User into the AI Picture
There is a ton of information these days on every single phase involved in building AI algorithms, and this is great! This covers loading/preparing data, feature engineering, training, testing, hyper-parameterization, validation, explainability, MLOps, and deployment....




