​[[{“value”:” Traditional methods for training vision-language models (VLMs) often require the centralized aggregation of vast datasets, which raises concerns regarding privacy and scalability. Federated learning offers a solution by allowing models to be trained across a distributed network of devices while keeping data locally but… Read More »This AI Paper Proposes FLORA: A Novel Machine Learning Approach that Leverages Federated Learning and Parameter-Efficient Adapters to Train Visual-Language Models VLMs Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reinforcement learning (RL) is a type of learning approach where an agent interacts with an environment to collect experiences and aims to maximize the reward received from the environment. This usually involves a looping process of experience collecting and enhancement, and due to the… Read More »TD3-BST: A Machine Learning Algorithm to Adjust the Strength of Regularization Dynamically Using Uncertainty Model Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The 2024 Zhongguancun Forum in Beijing saw the introduction of Vidu, an advanced AI model that can generate 16-second 1080p video clips with a simple prompt. Developed by ShengShu-AI and Tsinghua University, Vidu is set to compete with OpenAI’s Sora, marking a significant milestone for China’s generative AI capabilities and ambition… Read More »China’s Vidu Challenges Sora with High-Definition 16-Second AI Video Clips in 1080p Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) are the backbone of numerous computational platforms, driving innovations that impact a broad spectrum of technological applications. These models are pivotal in processing and interpreting vast amounts of data, yet they are often hindered by high operational costs and inefficiencies… Read More »Microsoft’s GeckOpt Optimizes Large Language Models: Enhancing Computational Efficiency with Intent-Based Tool Selection in Machine Learning Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Scientific Machine Learning (SciML) is an innovative field at the crossroads of ML, data science, and computational modeling. This emerging discipline utilizes powerful algorithms to propel discoveries across various scientific domains, including biology, physics, and environmental sciences. Image Source Expanding the Horizons of Research… Read More »How Scientific Machine Learning is Revolutionizing Research and Discovery Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Cohere AI has made a major advancement in the field of Artificial Intelligence (AI) development by releasing the Cohere Toolkit, a comprehensive open-source repository designed to accelerate the development of AI applications. Cohere, which is a leading enterprise AI platform, has released the toolkit… Read More »Cohere AI Open-Sources ‘Cohere Toolkit’: A Major Accelerant for Getting LLMs into Production within an Enterprise Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Neural language models (LMs) have become popular due to their extensive theoretical work mostly focusing on representational capacity. An earlier study of representational capacity using Boolean sequential models helps in a proper understanding of its lower and upper bound and the potential of the… Read More »The Representative Capacity of Transformer Language Models LMs with n-gram Language Models LMs: Capturing the Parallelizable Nature of n-gram LMs Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Time series forecasting is increasingly vital across numerous sectors, such as meteorology, finance, and energy management. Its relevance has grown as organizations aim to predict future trends and patterns more accurately. This type of forecasting is instrumental in enhancing decision-making processes and optimizing resource… Read More »Advancing Time Series Forecasting: The Impact of Bi-Mamba4TS’s Bidirectional State Space Modeling on Long-Term Predictive Accuracy Asif Razzaq Artificial Intelligence Category – MarkTechPost

​DALL-E: System Design in Circadian AI: Navigating Human Biases and Addictions Navigating Human Biases and Addictions In the sequel to “Circadian AI: Harmonizing AGI with Nature’s Rhythms,” we delve deeper into the transformative potential of Artificial General Intelligence (AGI) in enhancing human well-being through advanced… Read More »System Design in Circadian AI Galorian Creations Becoming Human: Artificial Intelligence Magazine – Medium