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Machine learning initiatives are emerging in multiple markets where there are less irrational forces at play than are seen in the stock market. Commodity...
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Machine learning initiatives are emerging in multiple markets where there are less irrational forces at play than are seen in the stock market. Commodity...
A new machine learning paper is a must read for anyone engaged in climate action, whether they researchers, technologists, entrepreneurs or policy makers.
Multiple firms around the world are leveraging machine learning to optimize building energy consumption for cost savings and carbon reductions.
The increase in CPU cycles to advance machine learning has been accompanied by advances in efficiencies of computer technology and lower carbon electricity, but...
It's no longer possible for the developed world to use the developing world as its landfill site and recycling facility. AMP Robotics is at...
The first article covered the first two points, showing that tying this to, for example, a single reasonably sized cement plant would require roughly...
Bill Gates seems to love to invest in things that aren’t going to make much of a difference to climate change but that are...
Pumped hydro is a highly viable storage technology, it overlaps nicely with the characteristics of Tesla's existing battery technology, the Boring Company has high-speed...
The new CoastalDEM, machine-learning enabled predictions of extreme coastal water level risk exposures much higher. Legacy models showed 250 million people at risk by...
We’re gaining new senses with machine learning. But it is also eliminating our ability to believe that much of what we do is actually...
We can impose our biases about the salient on neural nets and that has significant value, for example in looking at user experience wire...
