X-CGP-ClamAV-Result: CLEAN X-VirusScanner: Niversoft's CGPClamav Helper v1.25a (ClamAV 1.0.1/26889) Return-Path: Sender: To: CNI-ANNOUNCE Date: Thu, 27 Apr 2023 09:15:51 -0400 Message-ID: X-Original-Return-Path: Received: from [73.160.73.173] (account clifford@cni.org HELO [192.168.1.12]) by cni.org (CommuniGate Pro SMTP 6.2.15) with ESMTPSA id 40581784 for cni-announce@cni.org; Wed, 26 Apr 2023 23:47:36 -0400 X-Original-Date: Wed, 26 Apr 2023 23:47:35 -0400 From: Cliff Lynch X-Original-To: cni-announce@cni.org X-Original-Message-ID: <20230426234735793684.896210da@cni.org> Subject: Automated AI Driven Technologies at Lawerence Berkeley National Labs MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit X-Mailer: GyazMail version 1.7.1 I've highlighted automated lab facilities and their potential to change many aspects of the research process; the most notable examples of this are the work of Emerald Cloud Labs and Carnegie Mellon University (see the video of the December 2021 CNI Meeting Closing plenary for an introduction to this work). Readers interested in these developments will find a recent article in Science discussing work in Materials Science using these approaches, most notably at Lawrence Berkeley National Labs, of interest. This article is semi-paywalled (limited free views per month). See https://www.science.org/content/article/ai-driven-robots-start-hunting-novel-materials-without-help-humans Clifford Lynch Director, CNI