The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Abstract: Estimating an unknown deterministic parameter vector with a linear estimator in a noisy linear model is well-known in statistics. This paper studies the open problem in [1], i.e., developing ...

Jon covers artificial intelligence. He previously led CNET's home energy and utilities category, with a focus on energy-saving advice, thermostats, and heating and cooling. Jon has more than a decade ...

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three ...

A new crop of startups are betting on the rapid demise of traditional Google search. At least a dozen new companies are pouring millions of dollars into software meant to help brands prepare for a ...

This year’s conference included another change to search, this one more profound but less aggressively deployed. “AI Mode,” which has similarly been in beta testing for a while, will appear as an ...

One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling discovery about the relationship between time and memory in computing.

A new trend in Silicon Valley, vibe coding, is driving an exponential acceleration in how quickly engineers can develop products and algorithms. This approach aligns with principles outlined by Google ...

ABSTRACT: We present a new perspective on the P vs NP problem by demonstrating that its answer is inherently observer-dependent in curved spacetime, revealing an oversight in the classical formulation ...

Abstract: This paper proposes a linear search algorithm for resource allocation in frequency domain non-orthogonal multiple access based on the low-density signature (LDS). Although the proposed ...