Real-time multi-task multi-model (MTMM) workloads, a new form of deep learning inference
workloads, are emerging for applications areas like extended reality (XR) to support …

Emerging multi-model workloads with heavy models like recent large language models
significantly increased the compute and memory demands on hardware. To address such …

Extended reality (XR) devices, including augmented, virtual, and mixed reality, provide a
deeply immersive experience. However, practical limitations like weight, heat, and comfort …

As a new paradigm in computational imaging, lensless imaging holds promise for camera
miniaturization. However, lensless image reconstruction or segmentation for lensless …

Emerging real-time multi-model ML (RTMM) workloads such as AR/VR and drone control
involve dynamic behaviors in various granularity; task, model, and layers within a model …

Because of the recent trends in Deep Neural Networks (DNN) models being memory-bound,
inter-operator pipelining for DNN accelerators is emerging as a promising optimization. Inter …

Eye tracking has become an essential human–machine interaction modality in virtual reality
(VR) and augmented reality (AR) applications requiring high throughput (eg, more than 240 …

Eye tracking is becoming an increasingly important task domain in emerging computing
platforms such as Augmented/Virtual Reality (AR/VR). Today's eye tracking system suffers …

The emergence of standalone Extended Reality (XR) systems has enhanced user mobility,
accommodating both subtle, frequent head motions and substantial, less frequent body …

The landscape of AI research is dominated by the search for powerful deep learning models
and architectures that enable fascinating applications from the edge to the cloud. Indeed, we …