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FOXNEWSW The July 3, 2024 - Vimarsana News

FOXNEWSW The July 3, 2024

Camera and said this. The state versus Richard Alexander murdaugh, defendant, indictment for murder sc code 163, cdr code 0116 verdict guilty. So murdaughs attorneys say that they have sworn testimony that hill, that woman that you just saw, told jurors to not believe murdaughs testimony. She pressured them once they went in to the deliberations to get to a verdict quickly. Thats their side of the story. Thats what theyre saying. Two jurors have signed affidavits to. So this trial captivated the nation as the former South Carolina lawyer was convicted of shooting and killing his wife, maggie a...

Autonomous synthesis robot uses AI to speed up chemical discovery - Vimarsana News

Autonomous synthesis robot uses AI to speed up chemical discovery

Chemists of the University of Amsterdam (UvA) have developed an autonomous chemical synthesis robot with an integrated AI-driven machine learning unit. Dubbed ‘RoboChem’, the benchtop device can o ...

AI speeds up chemical discovery with autonomous robot. - Vimarsana News

AI speeds up chemical discovery with autonomous robot.

UvA chemists create 'RoboChem': AI-driven synthesis robot excelling in speed, accuracy, and ingenuity.

AI speeds up chemical discovery with autonomous robot. - Vimarsana News

AI speeds up chemical discovery with autonomous robot.

UvA chemists create 'RoboChem': AI-driven synthesis robot excelling in speed, accuracy, and ingenuity.

University of Amsterdam: Four projects kick-start the Artificial Intelligence for Sustainable Molecules and Materials research programme - Vimarsana News

University of Amsterdam: Four projects kick-start the Artificial Intelligence for Sustainable Molecules and Materials research programme

To kick-start the new Research Priority Area (RPA) of the Faculty of Science in "Artificial Intelligence for Sustainable Molecules and Materials" (AI4SMM), four projects have just been launched. Combining the Faculty’s strengths in computer science and sustainability research, AI4SMM aims to develop and use machine learning techniques for the design of molecules and materials for a sustainable future. The projects cover topics as diverse as metamaterials for sustainable steel, and protein mixtures for sustainable food design.