Abstract: The Multiply and Accumulator (MAC) in Convolution Neural Network (CNN) for image applications demands an efficient matrix multiplier. This study presents an area- and power-efficient ...

Daily Stream Follow me! My server Discord! #geometrydash #deluxe12 How old is too old to shovel snow? Here's what heart experts say. Judge blocks Trump administration from cutting $600 million in ...

STEVENS POINT − The Stevens Point Area Public School District is launching a six-episode podcast series to help families navigate technology and its impact on students, according to a community ...

Abstract: With the advancement of digital image processing technology, particularly in the field of wood surface treatment, this study delves into the detailed analysis and processing of wood surfaces ...

That’s not because plants lack capability or ambition. The complexity comes from day-to-day operating conditions that are simply harsher than many other manufacturing environments. There are frequent ...

The restructuring positions digital advertising as a key pillar of SmartBug's targeted ecosystem of offerings. IRVINE, Calif., Jan. 26, 2026 /PRNewswire/ -- SmartBug Media® — HubSpot's most decorated ...

Abstract: The development of efficient noise reduction techniques is imperative to maintain the quality and features of digital images, as they are essential in numerous key applications. Specifically ...

The White House on Thursday posted an altered photo of an attorney arrested after a Minnesota church protest, edited to make it look like she was crying, sparking concern among some forensic-image ...

Abstract: In this letter, we present a pixel-level predictive sampling method for image sensing and processing to reduce the computing overhead for power-limited image sensing systems. The predictive ...

Applied Digital Corporation (Nasdaq: APLD) has started its transition from an ambitious infrastructure developer to an actual operational player in the global AI race. Following its fiscal second ...

Abstract: With the improvement of hyperspectral image resolution, existing anomaly detection algorithms find it challenging to quickly process large volumes of hyperspectral data while fully ...