Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
AI factories meet the computational capacity and power requirements of today’s machine-learning and generative AI workloads.
Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...
In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...
In the rapidly evolving landscape of cloud computing, staying at the forefront of technological advancements is paramount. Cloud Performance Engineering (CPE) and architecture are undergoing a ...
New GenAI-enabled Assistant Simplifies Re-architecting and Refactoring Tasks with Step-by-Step Guidance, Improving Engineering Velocity and Accelerating Application Modernization MENLO PARK, ...
The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...
In a world where urban traffic congestion and environmental concerns are escalating, innovative solutions are crucial for creating sustainable and efficient transportation systems. A groundbreaking ...
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