- Thu. Nov 28th, 2024
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CyrusOne Secures $9.7 Bn in New Debt Capital to Fund Datacenter Growth
CyrusOne, a leading global data center owner, developer and operator specializing in delivering state-of-the-art digital infrastructure solutions, today announced the closing of a $7.9 billion Warehouse Credit Facility. The executed transaction…
Biostate AI Launches Total RNA Sequencing and Free Data Analysis AI
Biostate AI, the scalable biodata foundry startup, emerges from stealth today with the launch of two service products: Total RNA sequencing and Copilot for RNAseq data analysis. Biostate AI aims…
Microsoft’s Comprehensive Four-Stage AI Learning Journey: Empowering Businesses with Skills for Effective AI Integration and Innovation
Microsoft has unveiled an extensive AI learning journey designed to deal with the diverse needs of various personas within a business, ranging from business leaders to citizen developers. This initiative…
Rapid Robotics Taps Kimberley Losey for CEO
Losey will drive the company’s growth and expansion of market-leading generative AI and 3D vision solutions as Founder Jordan Kretchmer assumes Executive Chairman role Rapid Robotics announced that Chief Growth Officer…
Ascendion Appoints Daryush Laqab as Chief AI Officer
Ascendion announces AI veteran Daryush Laqab as new Chief AI Officer. In his new role, Daryush will accelerate Ascendion’s AI capabilities by leading client solutions, platform development, and internal evolution.…
Enhancing Vision-Language Models: Addressing Multi-Object Hallucination and Cultural Inclusivity for Improved Visual Assistance in Diverse Contexts
The research on vision-language models (VLMs) has gained significant momentum, driven by their potential to revolutionize various applications, including visual assistance for visually impaired individuals. However, current evaluations of these…
GraCoRe: A New AI Benchmark for Unveiling Strengths and Weaknesses in LLM Graph Comprehension and Reasoning
Graph comprehension and complex reasoning in artificial intelligence involve developing and evaluating the abilities of Large Language Models (LLMs) to understand and reason about graph-structured data. This field is critical…
This Paper Addresses the Generalization Challenge by Proposing Neural Operators for Modeling Constitutive Laws
Accurately modeling magnetic hysteresis is a significant challenge in the field of AI, especially for optimizing the performance of magnetic devices such as electric machines and actuators. Traditional methods often…
This AI Research from Ohio State University and CMU Discusses Implicit Reasoning in Transformers And Achieving Generalization Through Grokking
Large Language Models (LLMs) with parametric memory of rules and knowledge have shown limitations in implicit reasoning. Research has shown that these models, even more complex ones like GPT-4, have…
VCHAR: A Novel Artificial Intelligence AI Framework that Treats the Outputs of Atomic Activities as a Distribution Over Specified Intervals
Complex Human Activity Recognition (CHAR) in ubiquitous computing, particularly in smart environments, presents significant challenges due to the labor-intensive and error-prone process of labeling datasets with precise temporal information of…