Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Arduino is a microcontroller designed for real-time hardware control with very low power use. Raspberry Pi is a full computer that runs operating systems and handles complex tasks. Arduino excels at ...

Claude 4.6 Opus just launched — so I put it head-to-head with Gemini 3 Flash in nine tough tests covering math, logic, coding ...

The "budget" model is keeping its approachable $599 entry price while swapping in the same AI-ready A19 processor found in the standard iPhone 17. That leap will likely deliver the full suite of Apple ...

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature stores, and “bring your own […] In this episode of eSpeaks, host Corey Noles ...

AI is searching particle colliders for the unexpected ...

Abstract: This paper investigates the average running times and complexities of various root-finding algorithms, including the Affine Method (ARM), Sparse Root Algorithm (SRA), and Branching Tree ...

Abstract: Microwave Imaging is a key technique for reconstructing the electrical properties of inaccessible media, relying on algorithms to solve the associated Electromagnetic Inverse Scattering ...

If you need support for a new econometric algorithm or have an idea for an implementation, please submit your request via GitHub Issues. After evaluation, we'll add it to our DEVPLAN for future ...