Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
IEEE

Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions

Abstract: The digital market trend is rapidly expanding due to key characteristics like decentralization, accessibility, and market diversity enabled by blockchain technology. This study proposes a ...

AI Infrastructure Spending Creates New Wave of Semiconductor Ecosystem Winners

The migration of Taiwan’s semiconductor supply chain into the United States is no longer a trend in early formation; it is an industrial realignment already in motion. A growing body of opportunity is ...
IEEE

A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting

Abstract: With rapid increase in wind power penetration into the power grid, wind power forecasting is becoming increasingly important to power system operators and electricity market participants.
For Construction Pros

Big Tech Roundtable 2026 | Part 4: Forecasting Future Compaction Technologies

The future doesn't sound so much like fantastical ideas of fleets of earth moving robots prepping jobsites for compaction robots to lay the foundation for paving robots. However, the role of humans on ...

Pasqal and Aeponyx Launch a PIC Packaging Center of Competency for Sensing and Quantum Applications at C2MI

“This PIC Packaging Center of Competency at C2MI, launched in collaboration with Aeponyx and our partners, helps turn advanced integrated photonics into repeatable, industrial-grade capabilities in ...
InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

AI-based demand forecasting creates planning reliability in the textile industry

How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how ...
Frontiers

Early Warning Systems for Coastal and Nearshore Infrastructure: Integrating Forecasting, Data Assimilation, and Machine Learning

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
leewayhertz

AI for due diligence: Applications, benefits, solution and Implementation

Traditionally, due diligence has been a meticulous, manual process involving the exhaustive review of countless documents to assess a company’s financial health, structure, supply chain reliability, ...