Redcache: An Open-Source Python Package to Improve the Memory of Large Language Models LLMs and Agents Niharika Singh Artificial Intelligence Category – MarkTechPost

[[{“value”:” A common challenge in developing AI-driven applications is managing and utilizing memory effectively. Developers often face high costs, closed-source limitations, and inadequate support for integrating external dependencies. These issues can hinder the development of robust applications like AI-powered dating apps or healthcare diagnostics platforms.… Read More »Redcache: An Open-Source Python Package to Improve the Memory of Large Language Models LLMs and Agents Niharika Singh Artificial Intelligence Category – MarkTechPost

Wolf: A Mixture-of-Experts Video Captioning Framework that Outperforms GPT-4V and Gemini-Pro-1.5 in General Scenes, Autonomous Driving, and Robotics Videos Sajjad Ansari Artificial Intelligence Category – MarkTechPost

[[{“value”:” Video captioning has become increasingly important for content understanding, retrieval, and training foundation models for video-related tasks. Despite its importance, generating accurate, detailed, and descriptive video captions is challenging in fields like computer vision and natural language processing. Various key obstacles hinder progress in… Read More »Wolf: A Mixture-of-Experts Video Captioning Framework that Outperforms GPT-4V and Gemini-Pro-1.5 in General Scenes, Autonomous Driving, and Robotics Videos Sajjad Ansari Artificial Intelligence Category – MarkTechPost

[[{“value”:” Deep learning has become a powerful tool for classifying pathological voices, particularly in the GRBAS (Grade, Roughness, Breathiness, Asthenia, Strain) scale assessment. The GRBAS scale is a standardized method clinicians use to evaluate voice disorders based on auditory-perceptual judgment. Traditional methods for classifying pathological… Read More »Assessing Noise Impact on Machine Learning Models for Voice Disorder Evaluation Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

[[{“value”:” Spatially resolved single-cell transcriptomics offers insights into gene expression within tissues, but current technologies are limited by their ability to measure only a small number of genes. To address this, algorithms have been developed to predict or impute the expression of additional genes. These… Read More »SPRITE (Spatial Propagation and Reinforcement of Imputed Transcript Expression): Enhancing Spatial Gene Expression Predictions and Downstream Analyses Through Meta-Algorithmic Integration Sana Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” In a significant development for the forecasting community, Nixtla has announced the release of NeuralForecast, an advanced library designed to offer a robust and user-friendly collection of neural forecasting models. This library aims to bridge the gap between complex neural networks and their practical… Read More »NeuralForecast 1.7.4 Released: Nixtla’s Advanced Library Revolutionizes Neural Forecasting with Usability and Robustness Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” In a seminal announcement, Black Forest Labs has emerged as a new player in the generative AI landscape. With deep roots in the research community, this innovative company aims to revolutionize the field of generative deep learning models, particularly focusing on media such as… Read More »Black Forest Labs Open-Source FLUX.1: A 12 Billion Parameter Rectified Flow Transformer Capable of Generating Images from Text Descriptions Mohammad Asjad Artificial Intelligence Category – MarkTechPost

[[{“value”:”This paper was accepted at IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) 2024 Programmers frequently engage with machine learning tutorials in computational notebooks and have been adopting code generation technologies based on large language models (LLMs). However, they encounter difficulties in understanding and… Read More »BISCUIT: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebooks Apple Machine Learning Research

[[{“value”:” Reinforcement learning (RL) focuses on how agents can learn to make decisions by interacting with their environment. These agents aim to maximize cumulative rewards over time by using trial and error. This field is particularly challenging due to the need for large amounts of… Read More »Google DeepMind Researchers Introduce Diffusion Augmented Agents: A Machine Learning Framework for Efficient Exploration and Transfer Learning Nikhil Artificial Intelligence Category – MarkTechPost

[[{“value”:” Ensuring data privacy and security during computational processes presents a significant challenge, particularly when using cloud services. Traditional encryption methods require data to be decrypted before processing, exposing it to potential risks. Homomorphic encryption offers a promising solution, allowing computations on encrypted data without… Read More »Apple Introduces Homomorphic Encryption via Swift: Revolutionizing Privacy-Preserving Cloud Computations Sana Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape… Read More »Cepsa Química improves the efficiency and accuracy of product stewardship using Amazon Bedrock Vicente Cruz Mínguez AWS Machine Learning Blog