zetabyte

​[[{“value”:” The AWS global backbone network is the critical foundation enabling reliable and secure service delivery across AWS Regions. It connects our 34 launched Regions (with 108 Availability Zones), our more than 600 Amazon CloudFront POPs, and 41 Local Zones and 29 Wavelength Zones, providing… Read More »Mitigating risk: AWS backbone network traffic prediction using GraphStorm Jian Zhang AWS Machine Learning Blog

​[[{“value”:” Advances in large language and multimodal speech-text models have laid a foundation for seamless, real-time, natural, and human-like voice interactions. Achieving this requires systems to process speech content, emotional tones, and audio cues while giving accurate and coherent responses. However, challenges remain in overcoming… Read More »MinMo: A Multimodal Large Language Model with Approximately 8B Parameters for Seamless Voice Interaction Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Speech processing systems often struggle to deliver clear audio in noisy environments. This challenge impacts applications such as hearing aids, automatic speech recognition (ASR), and speaker verification. Conventional single-channel speech enhancement (SE) systems use neural network architectures like LSTMs, CNNs, and GANs, but they… Read More »Redefining Single-Channel Speech Enhancement: The xLSTM-SENet Approach Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Blockchain systems face significant challenges in efficiently managing and updating state storage due to high write amplification (WA) and extensive I/O operations. In traditional architecture, such as Merkle Patricia Tries (MPT), frequent and expensive disk interactions incur inefficiencies that restrict throughput and scalability. Such… Read More »Efficient Blockchain State Management with Quick Merkle Database (QMDB) Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mathematical reasoning has long been a significant challenge for Large Language Models (LLMs). Errors in intermediate reasoning steps can undermine both the accuracy and reliability of final outputs, which is particularly problematic for applications requiring precision, such as education and scientific computation. Traditional evaluation… Read More »Alibaba Qwen Team just Released ‘Lessons of Developing Process Reward Models in Mathematical Reasoning’ along with a State-of-the-Art 7B and 72B PRMs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generating time series data is important for many applications, including data augmentation, synthetic datasets, and scenarios. However, when there is more than one, this process becomes too complex because it includes variations of patterns across categories in the real world. With such wide variations… Read More »TimeDP: A Multi-Domain Time Series Diffusion Model with Domain Prompts Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs, such as GPT-3.5 and GPT-4, have shown exceptional capabilities in language generation, comprehension, and translation tasks. Despite these advancements, their performance is inherently constrained by the availability of training data, much of which has already been utilized. Recent research explores self-improvement by generating… Read More »Enhancing Language Model Performance and Diversity Through Multiagent Fine-Tuning Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s digital age, we are surrounded by enormous amounts of data, from social media interactions to e-commerce transactions and medical records. Making sense of this data to derive meaningful insights is a significant challenge. Traditional programming methods often fall short when dealing with… Read More »What is Machine Learning (ML)? Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence has made significant strides in recent years, but challenges remAIn in balancing computational efficiency and versatility. State-of-the-art multimodal models, such as GPT-4, often require substantial computational resources, limiting their use to high-end servers. This creates accessibility barriers and leaves edge devices like… Read More »OpenBMB Just Released MiniCPM-o 2.6: A New 8B Parameters, Any-to-Any Multimodal Model that can Understand Vision, Speech, and Language and Runs on Edge Devices Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI is making inroads across the entire healthcare industry — from genomic research to drug discovery, clinical trial workflows and patient care. In a fireside chat Monday during the annual J.P. Morgan Healthcare Conference in San Francisco, NVIDIA founder and CEO Jensen Huang took… Read More »Healthcare Leaders, NVIDIA CEO Share AI Innovation Across the Industry Isha Salian – Archives Page 1 | NVIDIA Blog