Can Overreliance on Mathematics Lead to a Crisis in Intelligence?

In today's rapidly advancing technological era, mathematics is undoubtedly the cornerstone of intelligent systems. From the laws of physics to the core algorithms of artificial intelligence, ...
IEEE

Comparison Analysis of Forecasting Accuracy for Electricity Consumption Using Extreme Learning Machine and Backpropagation Algorithms

Abstract: Accurate calculations are essential in forecasting. Therefore, it is important to select the appropriate forecasting method, which can be determined by testing the accuracy level of the ...
TheServerSide

The difference between precision vs. recall in machine learning

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between recall and precision is that precision accounts for false positives, ...
Healio

AI could boost detection of familial hypercholesterolemia

Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Scientists in Australia have developed a quantum machine learning technique — a blend of artificial intelligence (AI) and quantum computing principles — that could change how microchips are made. They ...
Finbold | Finance in Bold

Machine learning algorithm predicts Bitcoin price on August 1, 2025

After a couple of volatile weeks, Bitcoin (BTC) experienced a modest rebound on Monday, July 28. However, with major U.S. crypto policy reports due July 30, the flagship digital asset could still ...
Finbold | Finance in Bold

Machine learning algorithm predicts XRP price on August 1, 2025

XRP is entering one of its most closely watched trading windows in recent months, with the looming release of 1 billion XRP tokens by Ripple and unconfirmed reports of behind-closed-doors discussions ...
news.bloomberglaw

Navigating a Patent Gap for AI and Machine Learning Algorithms

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...
Scientific Research Publishing

Sen, P.C., Hajra, M. and Ghosh, M. (2019) Supervised Classification Algorithms in Machine Learning: A Survey and Review. In: Mandal, J.K. and Bhattacharya, D., Eds., Emerging ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Scientific Research Publishing

Magoulas, G.D., Vrahatis, M.N. and Androulakis, G.S. (1999) Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods. Neural ...

ABSTRACT: This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...