Distributed learning can enable machine learning for health care. With its unique privacy approach, it can very effectively overcome the greatest obstacle facing AI adoption in health care today. We no longer need to choose between patient privacy and the utility of the data to society. We can now achieve privacy and utility simultaneously.
A new technique, inspired by quantum cryptography, allows large medical databases to be tapped for causal links. This is a fundamental breakthrough in thinking, and this perspective has the potential to spot cause-and-effect, supercharge medical diagnoses, and use AI effectively.
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. But only if the U.S. and China understand each piece, all the potential moves, what can be sacrificed, and what victory really looks like. But this does not appear to be happening. Instead of working for mutual benefit, regardless of fundamental cultural and political differences, we are now drawing bright lines demarking battle zones. The result will be economic and technical inefficiency and degradation in the quality of life, safety, and prosperity for everyone.
High growth companies competing for large total addressable markets may not be creating long-term value. Cheap capital has created a vicious circle of unproductive investment. Markets will correct this overvaluation and misappropriation with a rather unpleasant bang.
Biotechnology has been beaten up a lot lately and has had a very volatile and unimpressive recent history. However, biotechnology is still one of the single greatest investment opportunities available, and new and exciting factors are developing and enhancing the attractiveness of the sector
Optimism is challenging when looking at the world economy. As the trade war between America and China continues, business confidence in America and elsewhere has been declining.