​ In perhaps the healthcare industry’s most dramatic transformation since the advent of computing, digital biology and generative AI are helping to reinvent drug discovery, surgery, medical imaging and wearable devices. NVIDIA has been preparing for this moment for over a decade, building deep domain… Read More »NVIDIA Generative AI Is Opening the Next Era of Drug Discovery and Design Kimberly Powell – Archives Page 1 | NVIDIA Blog

​ Getty Images, a global visual content creator and marketplace, today at CES released Generative AI by iStock, an affordable and commercially safe image generation service trained on the company’s creative library of licensed, proprietary data. Built on NVIDIA Picasso, a foundry for custom AI… Read More »Picture This: Getty Images Releases Generative AI By iStock Powered by NVIDIA Picasso Jason Paul – Archives Page 1 | NVIDIA Blog

​ The study investigates how text-based models like LLMs perceive and interpret visual information in exploring the intersection of language models and visual understanding. The research ventures into uncharted territory, probing the extent to which models designed for text processing can encapsulate and depict visual… Read More »A New MIT Research Announces a Vision Check-Up for Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Within large language models (LLMs), one of the main challenges researchers face is the necessity of expanding the context window to achieve maximum performance on long sequences. A key consideration is finding the ideal balance between extending this window and ensuring that brief jobs… Read More »Can Large Language Models Handle Longer Contexts Without Additional Training? This AI Paper Proposes SelfExtend to Stimulate LLMs’ Long Context Handling Potential Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Home Table of Contents Adversarial Learning with Keras and TensorFlow (Part 1): Overview of Adversarial Learning Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure Creating Adversarial Examples Robustness Toward Adversarial Examples Summary Citation Information Adversarial Learning with Keras and TensorFlow… Read More »Adversarial Learning with Keras and TensorFlow (Part 1): Overview of Adversarial Learning Shivam Chandhok PyImageSearch

​ Researchers from multiple universities have addressed the challenge of designing large-scale DNN chiplet accelerators, focusing on optimizing monetary cost (MC), performance, and energy efficiency. The complexity arises from the interplay of various parameters, including network-on-chip (NoC) communication, core positions, and different DNN attributes. It… Read More »Researchers from Tsinghua University Unveil ‘Gemini’: A New AI Approach to Boost Performance and Energy Efficiency in Chiplet-Based Deep Neural Network Accelerators Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ This article features this new deep learning framework, RustBurn, which was developed entirely in the Rust programming language. The core principles of flexibility, performance, and ease of use drive rust Burn. Flexibility is a pivotal feature of Rust Burn, enabling users to swiftly implement… Read More »Meet Rust Burn: A New Deep Learning Framework Designed in Rust for Optimal Flexibility, Performance, and Ease of Use Niharika Singh Artificial Intelligence Category – MarkTechPost

​ In Large Language Models (LLMs), models like ChatGPT represent a significant shift towards more cost-efficient training and deployment methods, evolving considerably from traditional statistical language models to sophisticated neural network-based models. This transition highlights the pivotal role of architectures such as ELMo and the… Read More »This AI Paper Reviews the Evolution of Large Language Model Training Techniques and Inference Deployment Technologies Aligned with this Emerging Trend Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ The increasing reliance on cloud-hosted large language models for inference services has raised privacy concerns, especially when handling sensitive data. Secure Multi-Party Computing (SMPC) has emerged as a solution for preserving the privacy of both inference data and model parameters. However, applying SMPC to… Read More »This AI Paper Unveils SecFormer: An Advanced Machine Learning Optimization Framework Balancing Privacy and Efficiency in Large Language Models Vineet Kumar Artificial Intelligence Category – MarkTechPost

​ Language models are playing the most crucial role in natural language processing, and their development and optimization are essential for achieving accurate and effective outcomes. The trend has gravitated towards creating voluminous and intricate models to enhance the ability to process and generate human-like… Read More »Meet TinyLlama: An Open-Source Small-Scale Language Model that Pretrain a 1.1B Llama Model on 3 Trillion Tokens Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost