The US National Science Foundation (NSF) has initiated a noteworthy $380 million (\u00a3285 million) project to establish a nationwide network of AI-powered automated laboratories. At the forefront of this initiative, North Carolina State University (NCSU) will lead a project concentrating on the creation of \u2018self-driving\u2019 chemistry laboratories under the overarching title of the Self-driving Platforms for Experimental Co-design in Chemistry and Materials Science (Speed lab). This ambitious endeavor, backed by a four-year $20 million grant, is directed by NCSU chemical engineer Milad Abolhasani in collaboration with UNC Chapel Hill’s organometallic chemist Alex Miller.<\/p>\n
The Speed lab aspires to transform research by leveraging advanced robotic systems to undertake laboratory tasks, thereby enabling scientists to focus on guiding research objectives. These laboratories will emphasize research on catalysts for enhanced chemical manufacturing efficiency, semiconductor materials for energy solutions, and photocatalytic materials. Integral to their operation is the deployment of artificial intelligence (AI) to facilitate remote control and automation of research processes.<\/p>\n
Artificial intelligence, a burgeoning area, equips machines and software to execute tasks generally performed by humans, including decision-making and reasoning. A prominent segment within AI is machine learning, which enables computers to forecast results and learn from data without the necessity for explicit programming for every task. Deep learning, a branch of machine learning, employs neural networks to interpret complex datasets, with uses in image creation and speech recognition.<\/p>\n
This initiative holds the promise of significantly expediting the identification and creation of functional materials and molecules, potentially compressing the timeframe from years to weeks, thereby greatly affecting sectors such as advanced electronics, pharmaceuticals, and agriculture. MIT researchers will contribute their AI and machine learning expertise to improve the project’s results. Simultaneously, experts at Chapel Hill will concentrate on crafting new interfaces for managing chemical reactions.<\/p>\n
Abolhasani emphasizes the capacity of the Speed lab to shorten discovery times, while Miller underscores the transformative potential of easily accessible, automated experimentation for researchers who lack sophisticated lab facilities. The lab’s modules are capable of conducting parallel experiments and employing machine learning to pinpoint the most promising experiments to undertake, potentially accelerating progress by a factor of 100.<\/p>\n
In addition, the NSF grant will support additional projects in biotechnology, biochemistry, soft materials, and electronics, extending over the next four years, with the goal of advancing these disciplines through AI-driven automation and innovation.<\/p>\n","protected":false},"excerpt":{"rendered":"
The US National Science Foundation (NSF) has initiated a noteworthy $380 million (\u00a3285 million) project to establish a nationwide network of AI-powered automated laboratories. At the forefront of this initiative, North Carolina State University (NCSU) will lead a project concentrating on the creation of \u2018self-driving\u2019 chemistry laboratories under the overarching title of the Self-driving Platforms […]<\/p>\n","protected":false},"author":2,"featured_media":374320,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"Default","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[174],"class_list":["post-374319","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-source-chemistryworld-com"],"_links":{"self":[{"href":"https:\/\/wolfscientific.com\/index.php?rest_route=\/wp\/v2\/posts\/374319","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wolfscientific.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wolfscientific.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wolfscientific.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/wolfscientific.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=374319"}],"version-history":[{"count":0,"href":"https:\/\/wolfscientific.com\/index.php?rest_route=\/wp\/v2\/posts\/374319\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wolfscientific.com\/index.php?rest_route=\/wp\/v2\/media\/374320"}],"wp:attachment":[{"href":"https:\/\/wolfscientific.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=374319"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wolfscientific.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=374319"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wolfscientific.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=374319"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}