  The laptops, cell phones, and internet applications commonplace in our daily
lives are all rooted in the idea of zeros and ones - in bits. This foundational
element originated from the combination of mathematics and Claude Shannon's
Theory of Information. Coupled with the 50-year legacy of Moore's Law, the bit
has propelled the digitization of our world. In recent years, artificial
intelligence systems, merging neuron-inspired biology with information, have
achieved superhuman accuracy in a range of narrow classification tasks by
learning from labelled data. Advancing from Narrow AI to Broad AI will
encompass the unification of learning and reasoning through neuro-symbolic
systems, resulting in a form of AI which will perform multiple tasks, operate
across multiple domains, and learn from small quantities of multi-modal input
data. Finally, the union of physics and information led to the emergence of
Quantum Information Theory and the development of the quantum bit - the qubit -
forming the basis of quantum computers. We have built the first programmable
quantum computers, and although the technology is still in its early days,
these systems offer the potential to solve problems which even the most
powerful classical computers cannot. The future of computing will look
fundamentally different than it has in the past. It will not be based on more
and cheaper bits alone, but rather, it will be built upon bits + neurons +
qubits. This future will enable the next generation of intelligent
mission-critical systems and accelerate the rate of science-driven discovery.
