Very few areas of industry will escape the influence of artificial intelligence, with many applications involving security ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

The number and variety of test interfaces, coupled with increased packaging complexity, are adding a slew of new challenges.

In the spring of 2020, the Federal Reserve faced a challenge: The COVID-19 pandemic was upending daily life with shutdowns, social distancing, and heightened uncertainty, but the traditional economic ...

Artificial intelligence (AI) is stretching compute infrastructure well beyond what traditional enterprise data centers were designed to handle. Modern AI training requires massively parallel compute, ...

To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.

When the Coalition of Communities of Color (CCC) began a multi-year collaboration with the Oregon Health Authority (OHA), they worked together to modernize a critical public health information source: ...

Data is the oil that fuels the AI gold rush; machines need it to understand the world and help us solve its most pressing problems. But the way we use, collect and store data is evolving as quickly as ...

Electricity rates for individuals and small businesses could rise sharply as Amazon, Google, Microsoft and other technology companies build data centers and expand into the energy business. A ...