Machine learning models trained on vast amounts of data have achieved remarkable success across various applications. However, they also pose new challenges and risks for deployment in real-world high-stakes domains. […]
From quantum physics to cosmology, researchers aim to see things which are typically invisible – be it the entanglement of two particles or infrared signatures from space. In these and […]
Two of the main challenges in scaling up quantum systems are noise and control, arising from the systems' sensitivity to the environment and its exponential complexity. The first step in […]
Computing is at a critical juncture. Applications such as AI/ML demand much larger memory, higher bandwidth, and lower-energy compute compared to business as usual. New hardware systems, powered by heterogenous […]
Quantum science and technology hold the promise to deepen our understanding of the universe and deliver groundbreaking technical innovations. The opportunity also poses a grand challenge to today’s scientists and […]
Global reliance on cloud services, powered by transformative technologies like generative AI, machine learning, and big-data analytics, is driving exponential growth in demand for hyperscale cloud compute infrastructure. Meanwhile, the […]
The Department of Defense (DoD)’s Basic Research Office (BRO) sets scientific priorities aimed toward ensuring DoD is a leader in scientific discovery and identifying new paths for investigation. The office […]
Recent advances in engineering science have led to new classes of medical devices with emergent mechanical, electrical, and thermal properties that offer new opportunities for interfacing with living cells. I […]
Although machine intelligence is taking over the world, its current digital electronic platform is very inefficient in terms of energy consumption. Switching to analogue computation, which function more like human […]
The rich set of mechanoreceptors found in human skin offers a versatile engineering interface for transmitting information and eliciting perceptions, potentially serving a broad range of applications in patient care […]
