Interesting Engineering

World’s first neuromorphic supercomputer nears reality with brain-inspired math

US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Science Daily

These mesmerizing patterns are secretly solving hard problems

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...
InfoQ

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
IEEE

Deciding When to Use a Personalized Model for Load Forecasting

Abstract: Load forecasting plays a vital role in achieving supply-demand balance in power systems and lays the foundation for economic dispatch, demand response, etc. Conventionally, a global ...
IEEE

Overcoming the Spectral Bias Problem of Physics-Informed Neural Networks in Solving the Frequency-Domain Acoustic Wave Equation

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...
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What is the area? Solve this geometry challenge

This geometry challenge puts your spatial reasoning and problem-solving skills to the test as you work to find the area using given clues and relationships. The explanation breaks the problem down ...