Elon Musk: “Will Those Who Write The Algorithms Ever Realize Their Negativity Bias?”
Computer calculations are increasingly being used to steer potentially life-changing decisions.
Computer calculations are increasingly being used to steer potentially life-changing decisions.
Machine learning can find patterns that are much more difficult to predict or analyze, and find predictive value in massive data sets when humans can’t discern them. But human’s have neural nets too, goopy ones between our ears, and the practice of hypothesis-test-assess continues to yield value without any intelligence of the artificial sort.
The varied techniques and technologies in the category of machine learning have become much more accessible to many more researchers and are enabling massive gains in climate and environmental research. Global policy and local budgetary and response practices are increasingly informed by this transformative approach.
Machine learning is helping researchers find the highest probability combinations for more efficient and cheaper solar technology, something which will benefit everyone in the world.
Machine learning initiatives are emerging in multiple markets where there are less irrational forces at play than are seen in the stock market. Commodity and energy markets have clear drivers for price, and emerging ancillary markets such as demand management are providing new and often complex ways to gain a profitable edge.
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 worth paying attention to. It’s only going to increase.
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 forefront of systems which are allowing us to sort our own waste more effectively.
The first article covered the first two points, showing that tying this to, for example, a single reasonably sized cement plant would require roughly 4,000 times the space, and that decoupling energy creation from demand would provide substantially more flexibility and higher value. Now we’ll step through the remaining three problems.