MX Optimizes Data Center Application Performance with Augtera Network AI
MX modernizes its Data Center networks by expanding Augtera integration with SONiC Augtera Networks, the industry leader in AI/ML-powered Network Operations platforms, and MX Technologies, Inc., a leader in actionable…
Dave O’Hara Joins Rohirrim Advisory Board
O’Hara brings three decades of technology and M&A experience to Rohirrim Rohirrim, the leading RFP AI automation platform, welcomes Dave O’Hara to its Board of Directors. O’Hara brings to the Rohirrim executive…
UniDoc Advances Healthcare with H3 Health Cube
Merging Doctor Visits, Telemedicine, and AI for Comprehensive eHealth UniDoc Health Corp. (CSE: UDOC) (FRA: L7T) (OTCQB: UDOCF) (“UniDoc,” or the “Company”), an innovator in the eHealth sector, proudly announces an update…
Adam-mini: A Memory-Efficient Optimizer Revolutionizing Large Language Model Training with Reduced Memory Usage and Enhanced Performance
The field of research focuses on optimizing algorithms for training large language models (LLMs), which are essential for understanding and generating human language. These models are critical for various applications,…
ProgressGym: A Machine Learning Framework for Dynamic Ethical Alignment in Frontier AI Systems
Frontier AI systems, including LLMs, increasingly shape human beliefs and values by serving as personal assistants, educators, and authors. These systems, trained on vast amounts of human data, often reflect…
The Four Components of a Generative AI Workflow: Human, Interface, Data, and LLM
The rise of Generative AI (GenAI) has revolutionized various industries, from healthcare and finance to entertainment and customer service. The effectiveness of GenAI systems hinges on the seamless integration of…
Global semiconductor shortage: How the US plans to close the talent gap
The semiconductor industry, which is a cornerstone of modern technology and economic prosperity, has been dealing with a serious labour shortage for some time. The skills shortage appears to be…
Understanding the Limitations of Large Language Models (LLMs): New Benchmarks and Metrics for Classification Tasks
Large Language Models (LLMs) have shown impressive performance in a range of tasks in recent years, especially classification tasks. These models demonstrate amazing performance when given gold labels or options…
MG-LLaVA: An Advanced Multi-Modal Model Adept at Processing Visual Inputs of Multiple Granularities, Including Object-Level Features, Original-Resolution Images, and High-Resolution Data
Multi-modal Large Language Models (MLLMs) have various applications in visual tasks. MLLMs rely on the visual features extracted from an image to understand its content. When a low-resolution image containing…
Lightmatter Announces Simona Jankowski as Chief Financial Officer
Seasoned NVIDIA and Goldman Sachs financial executive will serve as CFO of the photonic chip leader revolutionizing AI and HPC data centers Lightmatter, the leader in photonic supercomputing, today announced…