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Photo by — @alexkixa

Artificial Intelligence, Hardware and the Climate Crisis

The Connection Between the Software and the Hardware

Focusing on the climate crisis during the massive spread of the Coronavirus is a counterpoint — harmonically interdependent yet independent in rhythm and contour. The decrease of travel resulting from the lockdowns has in the short-term benefitted the global emissions ensuring that emissions from transportation has drastically decreased, especially from flights. At the same time many are realising that they can keep social relations or business going, at least to some degree, online — keeping the conversation and trade going.

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  1. The second pillar of AI accelerators design is focused on multicore implementation. Think of a GPU that can accelerate such tasks using many simple cores that are normally used to deliver pixels to a screen.”
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  • AIStorm make sensors that convert sensor information into a digital representation. AIS. AI-in-Sensor. “Team of experienced semiconductor executives, backed by leading sensor and equipment manufacturers, aims to equip the next generation of handsets, IoT devices, wearables, and vehicles with a new approach to AI processing at the edge; compared with edge GPU solutions, AIStorm’s technology boosts performance while lowering power requirements and system cost” 11th of February in BusinessWire.
  • Esperanto Technologies is at the leading edge of technology putting thousands of RISC-V cores on a single chip. Esperanto delivers high-performance, energy-efficient computing solutions, the compelling choice for the most demanding AI / ML / DL applications.
  • Quadric is building the only end-to-end architecture optimized for realtime edge computing.
  • Graphcore has built a new type of processor for machine intelligence to accelerate machine learning and AI applications for a world of intelligent machines.
  • Xnor.ai. Edge computing company Xnor.ai has made a device capable of deploying a state-of-the-art deep learning algorithm with a small solar panel — without requiring a battery or other power source.
  • Flex Logic Technologies. Based on patented interconnect technology from its embedded field-programmable gate array (eFPGA) chip designs. It combines the eFPGA tech with inference-optimized nnMAX clusters in the new combination chip.
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An image from Quadric’s website.
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From Quadric’s whitepaper. “Heterogeneous computing systems contain various components that share access to memory or DMA provisions and take turns processing parts of the software stack.”

Written by

AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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