Multi-layer perceptrons (MLPs) have become essential components in modern deep learning models, offering versatility in approximating nonlinear functions across various…
Machine Learning
In a seminal announcement, Black Forest Labs has emerged as a new player in the generative AI landscape. With deep…
In a significant development for the forecasting community, Nixtla has announced the release of NeuralForecast, an advanced library designed to…
Spatially resolved single-cell transcriptomics offers insights into gene expression within tissues, but current technologies are limited by their ability to…
Deep learning has become a powerful tool for classifying pathological voices, particularly in the GRBAS (Grade, Roughness, Breathiness, Asthenia, Strain)…
Video captioning has become increasingly important for content understanding, retrieval, and training foundation models for video-related tasks. Despite its importance,…
A common challenge in developing AI-driven applications is managing and utilizing memory effectively. Developers often face high costs, closed-source limitations,…
Large Language Models (LLMs) have gained significant traction in various domains, revolutionizing applications from conversational agents to content generation. These…
This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Company earnings calls…
GraphStorm is a low-code enterprise graph machine learning (GML) framework to build, train, and deploy graph ML solutions on complex…
This is a guest post co-written with Vicente Cruz MÃnguez, Head of Data and Advanced Analytics at Cepsa QuÃmica, and…
Ensuring data privacy and security during computational processes presents a significant challenge, particularly when using cloud services. Traditional encryption methods…
Reinforcement learning (RL) focuses on how agents can learn to make decisions by interacting with their environment. These agents aim…
This article introduces contrastive alignment instructions (AlignInstruct) to address two challenges in machine translation (MT) on large language models (LLMs).…
Software vulnerability detection has seen substantial advancements in integrating deep learning models, which have shown high accuracy in identifying potential…
Efficiently integrating AI agents with various applications and tools can be challenging. Traditionally, developers have approached such tasks using individual…
The Role of AI in Medicine: AI simulates human intelligence in machines and has significant applications in medicine. AI processes…
Speech recognition is a rapidly evolving field that enables machines to understand and transcribe human speech across various languages. This…
Visual understanding is the abstracting of high-dimensional visual signals like images and videos. Many problems are involved in this process,…
The number of modern applications containing both the backend and frontend code with one or more generative AI models is…