Search:
Match:
4 results
infrastructure#datacenters📝 BlogAnalyzed: Jan 16, 2026 16:03

Colossus 2: Powering AI with a Novel Water-Use Benchmark!

Published:Jan 16, 2026 16:00
1 min read
Techmeme

Analysis

This article offers a fascinating new perspective on AI datacenter efficiency! The comparison to In-N-Out's water usage is a clever and engaging way to understand the scale of water consumption in these massive AI operations, making complex data relatable.
Reference

“Analysis: Colossus 2, one of the world's largest AI datacenters, will use as much water/year as 2.5 average In-N-Outs, assuming only drinkable water and burgers”

PermalinkTechmeme
Research Paper#Quantum Computing, Error Mitigation, Burgers Equation🔬 ResearchAnalyzed: Jan 3, 2026 16:01

Quantum Error Mitigation for Burgers Equation Solvers

Published:Dec 29, 2025 19:23
1 min read
ArXiv

Analysis

This paper presents a hybrid quantum-classical framework for solving the Burgers equation on NISQ hardware. The key innovation is the use of an attention-based graph neural network to learn and mitigate errors in the quantum simulations. This approach leverages a large dataset of noisy quantum outputs and circuit metadata to predict error-mitigated solutions, consistently outperforming zero-noise extrapolation. This is significant because it demonstrates a data-driven approach to improve the accuracy of quantum computations on noisy hardware, which is a crucial step towards practical quantum computing applications.
Reference

“The learned model consistently reduces the discrepancy between quantum and classical solutions beyond what is achieved by ZNE alone.”

PermalinkArXiv
Research Paper#Computational Fluid Dynamics, Numerical Methods, High-Performance Computing🔬 ResearchAnalyzed: Jan 3, 2026 19:48

Reynolds-Number Scaling of Poisson Solver Complexity

Published:Dec 27, 2025 16:41
1 min read
ArXiv

Analysis

This paper investigates the computational complexity of solving the Poisson equation, a crucial component in simulating incompressible fluid flows, particularly at high Reynolds numbers. The research addresses a fundamental question: how does the computational cost of solving this equation scale with increasing Reynolds number? The findings have implications for the efficiency of large-scale simulations of turbulent flows, potentially guiding the development of more efficient numerical methods.
Reference

“The paper finds that the complexity of solving the Poisson equation can either increase or decrease with the Reynolds number, depending on the specific flow being simulated (e.g., Navier-Stokes turbulence vs. Burgers equation).”

PermalinkArXiv
Business#AI in Customer Service📝 BlogAnalyzed: Dec 29, 2025 08:34

Driving Customer Loyalty with Predictive and Conversational AI with Sherif Mityas - TWiML Talk #82

Published:Dec 8, 2017 21:55
1 min read
Practical AI

Analysis

This podcast episode from Practical AI focuses on how TGI Fridays is leveraging conversational AI to boost customer loyalty. The interview with Sherif Mityas, head of Technology, Digital and Strategy at TGI Fridays, provides insights into the company's technological transformation. The discussion covers the implementation of AI to enhance customer experience and the future plans of the restaurant chain. The episode offers a case study of AI application in the enterprise, highlighting the shift towards a tech-driven business model within the food and beverage industry. The podcast aims to provide a mix of technical and case-study-oriented discussions.
Reference

“Sherif wants Friday’s to be known as a tech company that happens to sell burgers and beer”

PermalinkPractical AI