Medical Intelligence is a new discipline, converging human and artificial intelligence. Artificial intelligence will not replace human intelligence, especially in medicine. Diagnosis and treatment will remain a human endeavor. But AI will be an indispensable tool helping human intelligence effectively deliver better quality healthcare.
Instead of “internet time” we now have “pandemic time.” The need for advanced systems to keep society functioning, manufacturing moving, and give consumers some sense of safety is immediate. Driving innovations – whether those innovations are in health care, technology or other areas of production and manufacturing – is essential to not only offset the…
We Didn’t See This One Coming – Sort Of The coronavirus has created a disruption to our lives, relationships, business, and financial markets. But, as we look beyond the immediate crisis, market trends and investment opportunities can be analyzed and calibrated to take advantage of unprecedented opportunities. Since major disruptions and market discontinuities occur on…
Special thanks to the Massachusetts Institute of Technology for research and notes http://web.mit.edu/ Artificial Intelligence, Correlation, and Failure Artificial Intelligence identifies correlations far more frequently than causal relationships. Correlations show how certain phenomena go together, which can be quite useful in many circumstances – but not in medicine. Only causal links tell why the presence of…
Supply Shocks and Demand Disappearance: The World Needs A Bridge Loan The Fed Does Not Have the Arsenal The US economy is facing a transitory, but critical, credit emergency beyond the Fed’s normal scope. A new federal credit facility is needed to ensure that sound businesses and households have ready access to cash to get…
The coronavirus will accelerate the third great innovation revolution of modern times. Beginning about 100 years ago, three fundamental components were discovered: the atom, the bit, and the gene. Understanding the atom led to atomic bombs and nuclear power, semiconductors and transistors, spaceships and GPS, lasers and radar. Bits led to the development of the…
Over the last decade, the dramatic rise of deep learning has led to stunning transformations in dozens of industries. It has powered our pursuit of self-driving cars, fundamentally changed the way we interact with our devices, and reinvented our approach to cybersecurity.
In health care, however, despite many studies showing its promise for detecting and diagnosing diseases, progress in using deep learning to help real patients has been agonizingly slow. All this could change with distributed learning.
Technological innovation ignites economic growth feeding further innovation. But, has our relentless progress irrevocably tipped the balance from a virtuous circle of innovation and growth to a downward spiral of disaster and decline?
A global economic and political chess game is on between the United States and China. There are many moves, defensive and offensive strategies, short- and long-term gains, but, unlike chess, mutual victory is possible.
Maybe the reason we find it so hard to get anything done is that most of the things we do just fundamentally don’t need to be done. All the productivity lifehacks out there are ultimately missing the point: we’re avoiding our work because our work is pointless.
