Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.

Online drug trafficking presents unique challenges due to the class-imbalance problem, where only a small fraction of social ...

Bioprocessors could give us the tools to achieve AGI far sooner than anyone expected, but this leap comes with risks that we ...

Harnessing ML & Neural Network techniques to predict an individual's personality traits based on their Facebook posts and Tweets. This prediction is aligned with the Myers Briggs Type Indicator (MBTI) ...

Abstract: Decoding language information from brain signals represents a vital research area within brain-computer interfaces, particularly in the context of deciphering the semantic information from ...

Hon Hai Precision Industry Co (鴻海精密) yesterday said that its research institute has launched its first advanced artificial ...

Abstract: A notable trend observed in on-device AI is natural progression from camera application-centric CNN-based neural networks to transformer-based generative AI (Gen AI) [1]. For instance, large ...

Patients rated ChatGPT’s accuracy as comparable with that of specialist surgeons, but experts warn of hallucinations and ...

I will list twenty-one trends we observe in the industry as we shift gears from AI to generative AI. Trend 1: ML Engineering ...

The tendency of AI models to hallucinate – aka confidently making stuff up – isn't sufficient to disqualify them from use in ...