Abstract: This work proposes a decision tree (DT)-based method for initializing a dendritic neuron model (DNM). Neural networks become larger and larger, thus consuming more and more computing ...

An artificial intelligence model capable of reading and interpreting animal behavior like language has been developed by ...

The frequent back and forth about which AI is better can make companies wonder how to choose an AI model for their business.

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...

Abstract: Remote sensing (RS) scene classification is challenging due to changes in the scale and direction of scenes within a category. Bilinear pooling method can extract higher-order and spatial ...

It's just a really exciting time for generative AI in the department,” the Pentagon’s chief artificial intelligence officer said.

An examination of the trade secret risks posed by the integration of generative AI (GenAI) and agentic AI into core business ...

Operational autonomy is quickly becoming one of the defining capabilities of a modern enterprise. As digital estates become ...

The Energy MLP Classification Standard (EMCS) categorizes energy infrastructure companies based on their primary source of ...

생쥐의 몸짓을 단어처럼 읽고 행동의 의미를 해석하는 인공지능(AI)이 개발됐다. 동물의 움직임을 단순히 분류하는 데서 나아가 자폐 모델 생쥐의 행동 특징까지 사전 지식 없이 찾아내는 데 성공했다. KAIST는 김대수 ...

The Akida platform delivers sub-watt continuous inference versus multi-watt power consumed by competitive FPGA or GPU-based edge AI modules.