
A supercomputer pinpointed and eased congestion in Chattanooga, Tennessee. Eagle (the supercomputer) operated by the Oak Ridge National Laboratory and the National Renewable Energy Laboratory (NREL) used machine learning to trawl through tons of traffic data from satellites, traffic cameras, weather stations, patterns, etc. For example, Eagle found that traffic lights on a road leading into Chattanooga were causing delays, leading to congestion. Switching traffic timings resulted in a 16% decrease in fuel use. In addition, Eagle itself reuses 97% of the wasted heat in other facilities in the complex, making it very environmentally conscious.
The technology could potentially reduce…

A supercomputer pinpointed and eased congestion in Chattanooga, Tennessee. Eagle (the supercomputer) operated by the Oak Ridge National Laboratory and the National Renewable Energy Laboratory (NREL) used machine learning to trawl through tons of traffic data from satellites, traffic cameras, weather stations, patterns, etc. For example, Eagle found that traffic lights on a road leading into Chattanooga were causing delays, leading to congestion. Switching traffic timings resulted in a 16% decrease in fuel use. In addition, Eagle itself reuses 97% of the wasted heat in other facilities in the complex, making it very environmentally conscious.
The technology could potentially reduce…

A supercomputer pinpointed and eased congestion in Chattanooga, Tennessee. Eagle (the supercomputer) operated by the Oak Ridge National Laboratory and the National Renewable Energy Laboratory (NREL) used machine learning to trawl through tons of traffic data from satellites, traffic cameras, weather stations, patterns, etc. For example, Eagle found that traffic lights on a road leading into Chattanooga were causing delays, leading to congestion. Switching traffic timings resulted in a 16% decrease in fuel use. In addition, Eagle itself reuses 97% of the wasted heat in other facilities in the complex, making it very environmentally conscious.
The technology could potentially reduce…

A supercomputer pinpointed and eased congestion in Chattanooga, Tennessee. Eagle (the supercomputer) operated by the Oak Ridge National Laboratory and the National Renewable Energy Laboratory (NREL) used machine learning to trawl through tons of traffic data from satellites, traffic cameras, weather stations, patterns, etc. For example, Eagle found that traffic lights on a road leading into Chattanooga were causing delays, leading to congestion. Switching traffic timings resulted in a 16% decrease in fuel use. In addition, Eagle itself reuses 97% of the wasted heat in other facilities in the complex, making it very environmentally conscious.
The technology could potentially reduce…

If you’re my age, you will remember the critical premise of the 1992 classic “Sneakers”, starring Robert Redford and Ben Kingsley — a top-secret black box that can break the encryption of any computer system. Quantum computing is that “black box.” In the next 2–7 years, quantum computers could change the face of cybersecurity. Once they can factor products of large prime numbers (the basis of current cryptography) (expected between 2024 and 2030) — existing cyber-defense mechanisms will be rendered obsolete. We need to plan for encryption in the quantum future.

If you’re my age, you will remember the critical premise of the 1992 classic “Sneakers”, starring Robert Redford and Ben Kingsley — a top-secret black box that can break the encryption of any computer system. Quantum computing is that “black box.” In the next 2–7 years, quantum computers could change the face of cybersecurity. Once they can factor products of large prime numbers (the basis of current cryptography) (expected between 2024 and 2030) — existing cyber-defense mechanisms will be rendered obsolete. We need to plan for encryption in the quantum future.

If you’re my age, you will remember the critical premise of the 1992 classic “Sneakers”, starring Robert Redford and Ben Kingsley — a top-secret black box that can break the encryption of any computer system. Quantum computing is that “black box.” In the next 2–7 years, quantum computers could change the face of cybersecurity. Once they can factor products of large prime numbers (the basis of current cryptography) (expected between 2024 and 2030) — existing cyber-defense mechanisms will be rendered obsolete. We need to plan for encryption in the quantum future.

If you’re my age, you will remember the critical premise of the 1992 classic “Sneakers” premise, starring Robert Redford and Ben Kingsley — a top-secret black box that can break the encryption of any computer system. Quantum computing is that “black box.” In the next 2–7 years, quantum computers could change the face of cybersecurity. Once they can factor products of large prime numbers (the basis of current cryptography) (expected between 2024 and 2030) — existing cyber-defense mechanisms will be rendered obsolete. We need to plan for encryption in the quantum future.

If you’re my age, you will remember the critical premise of the 1992 classic “Sneakers”, starring Robert Redford and Ben Kingsley — a top-secret black box that can break the encryption of any computer system. Quantum computing is that “black box.” In the next 2–7 years, quantum computers could change the face of cybersecurity. Once they can factor products of large prime numbers (the basis of current cryptography) (expected between 2024 and 2030) — existing cyber-defense mechanisms will be rendered obsolete. We need to plan for encryption in the quantum future.

Artificial Intelligence is empowering business leaders to make better, data-driven, and insightful decisions. It has undergone several evolutions since it burst into the business scene in the 1950s, to the point where several thinkers have already painted a machine that replaces human scenarios for the future. Our view on the future of work has evolved into a zero-sum game, where the result is an either-or.
In my opinion, the view that AI will play a dominant role in the workplace is a little extreme. The fundamental assumption around AI replacing human workers is that humans and machines have the same…

Ex-Microsoft. Ex-@McKinsey. Ex-IBM. X-Factor :-). Movie Buff. Love Comics. TEDx Speaker. Dogfather. Startup Advisor. Rockmetric. Uniris, Rubix Data Science