Computing on the Edge


Multiple changes to our compute paradigm are required to realize the disruptive and humanitarian advances promised by rapid innovation; whether it is the continued advancement of Moore’s law through new methods, or a complete replacement of the compute platform (e.g. Quantum Computing). One of those near-term changes is set to hit wireless networking, and 2020 could be the turning point. As described in this Article, A trio of new technologies is set to redefine wireless networking. Edge ComputingThat, in turn, could change the way enterprises think about building applications, managing data, distributing computing resources and deploying robots and factory floor machinery.

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Moore’s Law


A recent article regarding Moore’s Law explores the winding down of a phenomenon that has impacted the world considerably since Gordon Moore, the founder of Intel, predicted that the number of components that could fit on a microchip would double every year. The article states that Moore’s Law has begun to reach its natural end, as efficiently manufacturing smaller transistors gets more difficult. Author Tom Hoggins projects that by the mid-2020s, the law will have plateaued completely as production costs increase and transistors reach their physical  limits.

The pictures I try to paint of our emerging future rely upon the continued expansion of our compute power and its synergistic relationship with energy. An example of a Virtuous Cycle in action, as advances in one area drive compelling reasons for advancement in the other. Realizing innovations’ potential to advance the human development envisioned by my Innovation Wheel relies on continued advancement in both areas. As the author states, Moore’s Law has in some ways eliminated the need for creativity in both design and manufacturing. As it comes to an end, a new era of creativity is likely to bridge the gap between the wind-down and a new computing paradigm such as quantum computing.

We already see creativity in advancements such as neural network processors that support the processing needs of AI solutions. The author strikes a positive tone, as he sees new approaches emerging to both software and processor architecture. The opportunity for innovators and investors is very large.