Google DeepMind hires Rain AI engineer for growing “AI hardware design” team.

Author: Sebastian Moss | Source: datacenterdynamics.com | Read the full article

Google DeepMind has recently welcomed a new member to its team, hiring Maxence Ernoult, a former engineer from Rain AI. Ernoult specializes in neuromorphic computing, which is a field that seeks to create computer systems that function similarly to the human brain. His previous experience includes working at IBM and contributing to innovative projects at Rain AI, a startup focused on advanced chip technology.

In his new role at Google DeepMind, Ernoult will be part of a team dedicated to designing hardware for artificial intelligence. This team is led by Albert Cohen, who has been involved in research that aims to improve the efficiency of AI hardware. The work being done at DeepMind is crucial as it supports the development of advanced AI systems, including Google's Tensor Processing Units (TPUs), which are used for various machine learning tasks.

While the specifics of DeepMind's hardware projects remain somewhat unclear, there is a growing interest in neuromorphic computing within the organization. This approach could potentially revolutionize how AI systems are built and operated, making them more efficient and capable of handling complex tasks. The addition of Ernoult to the team signifies a commitment to exploring these innovative technologies further.

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