The new open-source atlas, generated by an AI tool called ESMFold2, vastly increases the known protein universe ...

Researchers from Meta and Google built AutoTTS to automatically discover optimal LLM reasoning strategies, cutting token ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Abstract: For an energy-efficient adaptive data rate (ADR) algorithm in a long-range wide-area network (LoRaWAN) system, an asymptotic analysis on the spreading factor (SF) by the ADR-MIN algorithm ...

This tutorial implements the Multiple Signal Classification (MUSIC) Algorithm [1] on the AI Engine. MUSIC is a popular algorithm for Direction of Arrival (DOA) estimation in antenna array systems.

Abstract: This article proposes a design and optimization method for Ultra-Wideband power amplifiers (PAs) using improved multiobjective evolutionary algorithm based on decomposition (MOEA/D) and ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

TikTok’s algorithm favors mental health content over many other topics, including politics, cats and Taylor Swift, according to a Washington Post analysis. At first, the mental health-related videos ...

ABSTRACT: This study investigates the complex relationships among organizational identification, organizational self-esteem, and employee loyalty among grassroots employees working in small and medium ...

In contemporary breeding programs, typically genomic best linear unbiased prediction (gBLUP) models are employed to drive decisions on artificial selection. Experiments are performed to obtain ...