​[[{“value”:” Integrating artificial intelligence (AI) into applications has become necessary for developers looking to stay ahead. However, making AI work seamlessly with web and mobile platforms takes work. Issues such as compatibility across different devices, the need for efficient computation without draining resources, and the… Read More »Meet Ratchet: A Web-First, Cross-Platform Machine Learning Developer Toolkit Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The digital age has been significantly marked by the advent and evolution of Large Language Models (LLMs), which have become cornerstones in developing applications that require nuanced understanding and generation of human-like text. The exponential growth of these models, with Hugging Face listing a… Read More »RouterBench: A Novel Machine Learning Framework Designed to Systematically Assess the Efficacy of LLM Routing Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an era where conversational AI like ChatGPT has transformed how we interact with technology, a groundbreaking innovation (Empathic Voice Interface (EVI)) has emerged from AI startup Hume AI, setting a new benchmark for digital communication. Empathic Voice Interface (EVI is claimed to be… Read More »Meet Empathic Voice Interface (EVI): The First AI with Emotional Intelligence, Launching Its API for Developers in April 2024 Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In our rapidly evolving digital landscape, the quest to develop autonomous virtual agents capable of navigating the vast expanse of software tools has captured the imagination of researchers and tech enthusiasts alike. However, this pursuit has been hindered by formidable obstacles—the scarcity of comprehensive… Read More »AgentStudio: An Open Toolkit for Developing General-Purpose Agents Capable of Operating in Digital Worlds Vibhanshu Patidar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) are central to modern artificial intelligence applications, providing the computational intellect required to understand and generate human-like text. These models have been pivotal in various fields, from enabling advanced search engine functionalities to creating custom solutions for specific industries through… Read More »Instruction-Data Separation in LLMs: A Study on Safeguarding AI from Manipulation with the SEP (Should it be Executed or Processed?) Dataset Introduction and Evaluation Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Natural Language Processing (NLP) models are pivotal for various applications, from translation services to virtual assistants. They enhance the ability to comprehend and generate human-like responses. These models have become increasingly sophisticated and offer nuanced understanding and interaction capabilities as technology advances. A persisting… Read More »RakutenAI-7B: A Suite of Japanese-Oriented Large Language Models that Achieve the Great Performance on the Japanese Language Model Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an era where robotics and artificial intelligence (AI) seamlessly blend to enhance technological capabilities, a groundbreaking development has emerged, promising to redefine how robots perceive and interact with their surroundings. Meet the Pollen-Vision library that offers a unified interface for Zero-Shot vision models… Read More »Pollen-Vision: An Artificial Intelligence Library Empowering Robots with the Autonomy to Grasp Unknown Objects Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Coding courses have cemented their place as a cornerstone of Science Technology Engineering Mathematics (STEM) education. These courses, spanning a broad spectrum from the foundational syntax of programming languages to the intricacies of algorithm development, are instrumental in arming students with the skills necessary… Read More »This AI Paper from Durham University Evaluates GPT-3.5 and GPT-4’s Performance Against Student Coders in Physics Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” GoogleAI researchers released AutoBNN to address the challenge of effectively modeling time series data for forecasting purposes. Traditional Bayesian approaches like Gaussian processes (GPs) and structural time series could not overcome limitations in scalability, interpretability, and computational efficiency. The neural network-based approaches lack interpretability… Read More »Google AI Introduces AutoBNN: A New Open-Source Machine Learning Framework for Building Sophisticated Time Series Prediction Models Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the field of Artificial Intelligence (AI), Multi-Layer Perceptrons (MLPs) are the foundation for many Machine Learning (ML) tasks, including partial differential equation solving, density function representation in Neural Radiance Fields (NeRFs), and ray tracing simulation using Neural Ray Tracing. Fully connected layers, in… Read More »This AI Paper from Intel Presents a SYCL Implementation of Fully Fused Multi-Layer Perceptrons (MLPs) on Intel Data Center GPU Max Tanya Malhotra Artificial Intelligence Category – MarkTechPost