InfoQ

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...
IEEE

BAM-Net: Hardware Friendly Associative Memory Using Binary Dominant Weights and NAND Logic

Abstract: This paper presents BAM-Net, a hardware-efficient binarization algorithm designed for associative memory (AM) implementation. BAM-Net aims to reduce memory overhead, power consumption, and ...
Hosted on MSN

How to use sigma notation to find the partial sum

👉 Learn how to find the sum of a series using sigma notation. A series is the sum of the terms of a sequence. The formula for the sum of n terms of an arithmetic sequence is given by Sn = n/2 [2a + ...
GitHub

Pychop: efficient reduced-precision quantization library

Lower-precision floating-point arithmetic is becoming more common, moving beyond the usual IEEE 64-bit double-precision and 32-bit single-precision formats. Today, hardware accelerators and software ...
IEEE

AIvaluate: A Multi-Agent Framework for Automated Answer Script Evaluation Using Large Language Models and Semantic Vector Indexing

Abstract: In conventional educational environments, it is labor-intensive, subjective, and susceptible to human error to hand-mark descriptive answers. This article ...