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NZ-AU: NVIDIA H100 GPU cloud contract signed with AI company, poolside

LiveNews Provides news reports of information as it happens in real time of politics, business, the economy and also reports on global issues and events from a New Zealand viewpoint. ....

New South Wales , Daniel Roberts , Jason Warner , Danielle Ghigliera , Iris Energy , Iris Energy Limited , Aircover Communications , Risk Factors In Iris Energy , Recommended Sponsor Painted Moon , Original Artwork Directly , Energy Limited , Reinforcement Learning , Code Execution Feedback , Private Securities Litigation Reform Act , Investor Relations , Ive News , Aw News , New Zealand , Edia Intelligence , Pen Source Intelligence ,

Scientists code ChatGPT to design new medicine

Scientists code ChatGPT to design new medicine
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Chapman University , United States , Hagop Atamian , Cyril Rakovski , Dony Ang , Chapman University In Orange , Schmid College Of Science , Schmid College , Novo Drug Design , Transformer Based Machine Translation , Reinforcement Learning , Adaptive Monte Carlo Tree Search , Decoder Transformer , Monte Carlo Tree ,

Scientists Code ChatGPT To Design New Drug Compounds

Generative AI like ChatGPT can do more than help write emails it can also design new drugs to treat disease, reports a new study that shows how AI can generate unique molecular structures as potential drugs. ....

Chapman University , United States , Dony Ang , Hagop Atamian , Monte Carlo , Cyril Rakovski , Schmid College Of Science , Chapman University In Orange , Technology Network , Schmid College , Novo Drug Design , Transformer Based Machine Translation , Reinforcement Learning , Adaptive Monte Carlo Tree Search , Decoder Transformer , Monte Carlo Tree ,

Chapman scientists code ChatGPT to design new

<p>Inspired by ChatGPT’s popularity and wondering if this approach could speed up the drug design process, scientists in the <a href="https://www.chapman.edu/scst/index.aspx">Schmid College of Science and Technology</a> at Chapman University in Orange, California, decided to create their own genAI model, detailed in the new paper, “De Novo Drug Design using Transformer-based Machine Translation and Reinforcement Learning of Adaptive Monte-Carlo Tree Search,” to be published in the journal <em>Pharmaceuticals</em>. Dony Ang, Cyril Rakovski, and Hagop Atamian coded a model to learn a massive dataset of known chemicals, how they bind to target proteins, and the rules and syntax of chemical structure and properties writ large. </p>

<p>The end result can generate countless unique molecular structures that follow essential chemical and biological constraints and effect ....

Chapman University , United States , Cyril Rakovski , Dony Ang , Hagop Atamian , Method Of Research , Schmid College Of Science , Chapman University In Orange , Schmid College , Novo Drug Design , Transformer Based Machine Translation , Reinforcement Learning , Adaptive Monte Carlo Tree Search , Decoder Transformer , Monte Carlo Tree , Adaptive Monte Carlo Tree ,

"Human-machine Authority Allocation in Indirect Cooperative Shared Stee" by Hongbo Wang, Lizhao Feng et al.

In the man-machine co-driving, most of the existing indirect cooperative shared steering control(ICSSC) strategies adopt fixed driver models and are designed based on rules. However, the fixed driver model is difficult to match with the actual situation, and the rule-based strategy is hard to be designed under the multi-dimensional feature input and the multi-objective conditions and require complicated parameters adjustment. A driver model that conforms to the driving characteristics of drivers with actual driving data is established, and an ICSSC strategy is proposed based on reinforcement learning in this paper, so as to realize the dynamic allocation of human-machine steering driving weight. Firstly, the vehicle dynamics model is established according to the vehicle longitudinal, lateral and yaw dynamics, the driver driving data is collected, and then the trajectory tracking MPC (Model Predictive Control) steering controller is designed. Secondly, DQN (Deep Q-Network), DDPG (Deep D ....

Model Predictive Control , Deepq Network , Deep Deterministic Policy Gradient , Twin Delayed Deep Deterministic Policy Gradient , Heuristic Algorithms , Human Machine Systems , Ndirect Shared Steering Control Strategy , An Machine Co Driving , Multi Objective , Reinforcement Learning , Resource Management , Vehicle Dynamics , Weight Distribution ,