Abstract: Traditional waste management system operates based on daily schedule which is highly inefficient and costly. The existing recycle bin has also proved its ineffectiveness in the public as ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

TensorFlow Lite (TFLite) was announced in 2017 and Google is now calling it “LiteRT” to reflect how it supports third-party models. TensorFlow Lite for mobile on-device AI has “grown beyond its ...

Arriving with .NET 9 in November, C# 13 brings a plethora of new features and enhancements that make it easier to write efficient, high performant code. The params keyword has been extended to work ...

Choosing the right CPU (central processing unit) for your deep learning project can make all the difference in terms of efficiency, speed, and accuracy. In this article, we’ll explore the best CPUs ...

Abstract: As machine learning (ML) has seen increasing adoption in safety-critical domains (e.g., autonomous vehicles), the reliability of ML systems has also grown ...

C# 12 arrived in November with .NET 8, bringing several new features—primary constructors, collection expressions, inline arrays, and more—that make it simpler and easier to write more efficient code.

TensorFlow is a popular open-source software library for data analysis and machine learning. It is used extensively in the fields of artificial intelligence and deep ...

Religious wars have been a cornerstone in tech. Whether it’s debating about the pros and cons of different operating systems, cloud providers, or deep learning frameworks — a few beers in, the facts ...

Test projects give you a way to exercise your code to see if it works but they're also part of your project's "permanent record." If all you want to do is try something out with some throwaway code, C ...