As we build machines that listen not just to our words but to our emotions, the responsibility to use that power ethically ...

The paper proposes a feed forward neural network based speech recognition for voice controlled MAV application, which achieves better accuracy and faster recognition compared Viterbi algorithm which ...

Learning a hidden Markov model (HMM) is typically based on the computation of a likelihood which is intractable due to a summation over all possible combinations of states and mixture components. This ...

Microchip introduces new dsPIC33A DSC families to enhance performance and efficiency in embedded applications and power conversion. Quiver AI Summary Microchip Technology has announced the ...

You hear the beep, but can’t find the car: The hidden flaw in electric vehicle safety Date: June 18, 2025 Source: Chalmers University of Technology Summary: As electric vehicles grow more ...

This was all done via voice and without any confusion on the Dragon Drive system's part. Nuance is also looking forward to the future, when self-driving vehicles will leave us with more time to do ...

Later, the problem of analyzing hidden oscillations arose from engineering problems in automatic control. In the 50–60s of the last century, the investigations of widely known Markus–Yamabe's, ...

Several studies have applied the hidden Markov model (HMM) in multimode process monitoring. However, because the inherent duration probability density of HMM is exponential, which is inappropriate for ...

The idea of intelligent machines resisting human control has been a sci-fi trope for ages in movies like “I, Robot,” but AI developments are sharpening concerns. When another company’s AI chatbot was ...

Experts are warning that AI models are learning how to evade human restrictions. (CNN, X | PALISADE RESEARCH, 20TH CENTURY STUDIOS, GETTY IMAGES) ...