Advances and Challenges in Drone Detection and Classification Techniques Sana Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” In recent years, advancements in micro uncrewed aerial vehicles (UAVs) and drones have expanded applications and technical capabilities. With their versatility, mobility, and affordability, drones are utilized across various sectors, from military operations to civilian endeavors like disaster management and delivery services. However, their… Read More »Advances and Challenges in Drone Detection and Classification Techniques Sana Hassan Artificial Intelligence Category – MarkTechPost

Microsoft Researchers Introduce Syntheseus: A Machine Learning Benchmarking Python Library for End-to-End Retrosynthetic Planning Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

[[{“value”:” A resurgence of interest in the computer automation of molecular design has occurred throughout the last five years, thanks to advancements in machine learning, especially generative models. While these methods assist in finding compounds with the right properties more quickly, they often produce molecules… Read More »Microsoft Researchers Introduce Syntheseus: A Machine Learning Benchmarking Python Library for End-to-End Retrosynthetic Planning Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

[[{“value”:” The advent of large language models (LLMs) like GPT-4 has sparked excitement around enhancing them with multimodal capabilities to understand visual data alongside text. However, previous efforts to create powerful multimodal LLMs have faced challenges in scaling up efficiently while maintaining performance. To mitigate… Read More »Breaking Down Barriers: Scaling Multimodal AI with CuMo Vineet Kumar Artificial Intelligence Category – MarkTechPost

[[{“value”:” Large language models (LLMs) such as GPT-4 and Llama are at the forefront of natural language processing, enabling various applications from automated chatbots to advanced text analysis. However, the deployment of these models is hindered by high costs and the necessity to fine-tune numerous… Read More »Vidur: A Large-Scale Simulation Framework Revolutionizing LLM Deployment Through Cost Cuts and Increased Efficiency Aswin Ak Artificial Intelligence Category – MarkTechPost

[[{“value”:” Tokenization is essential in computational linguistics, particularly in the training and functionality of large language models (LLMs). This process involves dissecting text into manageable pieces or tokens, which is foundational for model training and operations. While effective tokenization can significantly enhance a model’s performance,… Read More »This AI Paper from Cohere Enhances Language Model Stability with Automated Detection of Under-trained Tokens in LLMs Aswin Ak Artificial Intelligence Category – MarkTechPost

[[{“value”:” The exploration of AI has progressively focused on simulating human-like interactions through sophisticated AI systems. The latest innovations aim to harmonize text, audio, and visual data within a single framework, facilitating a seamless blend of these modalities. This technological pursuit seeks to address the… Read More »OpenAI Released GPT-4o for Enhanced Interactivity and Many Free Tools for ChatGPT Free Users Asif Razzaq Artificial Intelligence Category – MarkTechPost

Large Language Model or LLM inference has two phases, the prompt (or prefill) phase to output the first token and the extension (or decoding) phase to the generate subsequent tokens. In this work, we propose an efficient parallelization scheme, KV-Runahead to accelerate the prompt phase.… Read More »KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation Apple Machine Learning Research

[[{“value”:”Federated Learning (FL) is an emerging ML training paradigm where clients own their data and collaborate to train a global model without revealing any data to the server and other participants. Researchers commonly perform experiments in a simulation environment to quickly iterate on ideas. However,… Read More »pfl-research: Simulation Framework for Accelerating Research in Private Federated Learning Apple Machine Learning Research

[[{“value”:” In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Since then, Amazon Web Services (AWS) has introduced new services such as Amazon… Read More »Evaluation of generative AI techniques for clinical report summarization Ekta Walia Bhullar AWS Machine Learning Blog

[[{“value”:” In the dynamic field of AI technology, a pressing challenge for the drug discovery (DD) community, especially in structural biology and computational chemistry, is the creation of innovative models finely tuned for drug design. The core challenge lies in accurately and efficiently predicting molecular… Read More »MISATO: A Machine Learning Dataset of Protein-Ligand Complexes for Structure-based Drug Discovery Aswin Ak Artificial Intelligence Category – MarkTechPost