Pacific Defense today announced the launch of the DSP3100VP, a next-generation digital signal processing module engineered to bring advanced artificial intelligence and machine learning (AI/ML) ...

Passive Brain-Computer Interfaces (pBCIs) have shown significant advancements in recent years, indicating their readiness for ...

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...

EEG-timed sound cues designed to support the brain’s most restorative sleep Muse today announced Deep Sleep Boost (DSB), a new sleep feature designed to help users sustain deeper, more stable ...

Researchers at RIT have improved the electronics used in communication and radar systems to better process signals using electromagnetic radio waves. This breakthrough could advance computing ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Coarse-Grained Reconfigurable Arrays (CGRAs) have been in the academic world for decades ([1], [2]). They are considered ideal to accelerate compute-intensive Digital Signal Processing (DSP) and ...

Traditional signal processing techniques have achieved much, but they face notable limitations when confronted with complex, high-volume data. Classical methods often rely on manual feature extraction ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...