iMining Technologies Inc. announced that Daniel - Campbell has been appointed to Scientific Research Board of AiMining Technologies to Propel Artificial - Intelligence Innovation. As a leading member of the Canadian Artificial Intelligence (AI) and Machine Learning (ML) communities, and a respected author for the esteemed NVIDIA Deep Learning Institute, Mr. Campbell brings a wealth of expertise aimed at propelling innovation and strategic growth within AiMining. Daniel Campbell currently heads Generative AI development and Executive Operations at Transposed AI as CEO and Head of ML Engineering.

The entertainment-tech SaaS firm, most known for its involvement in the creation of popular AI hit "Heart on my Sleeve", leads a revolution of the music production industry through its development of novel Variational Autoencoder (VAE) and Generative Adversarial Network (GAN) technologies. Notably, under Mr. Campbell's strategic guidance, the company achieved a remarkable 198.5% reduction in inference cost through pioneering GPU-splitting techniques. Mr. Campbell's appointment brings a multi-faceted technical talent to the Research Board, providing deep visibility into the advancement of AI in vocal replication and audio reconstruction.

Previously, Mr. Campbell held tenure at the Royal Bank of Canada leading its AI Strategy and Technical Development. This included senior responsibilities implementing guardrails for safe and ethical usage of generative neural networks, as well as advising AI policy to the Canadian Minister of Innovation for Bill C-27 and the AI in Data Act (AIDA). Mr. Campbell throughout his tenure acted as RBC's lead contact to NVIDIA, designed key systems with the vendor's A100 and SuperPod infrastructure to develop MLOps technical program across its global enterprises and enable research at RBC's Borealis AI.

As an author of the NVIDIA Deep Learning Institute AI Certification Series, Mr. Campbell significantly contributed to the development of course and exam materials focused on ML Platform design and management, Neural Network architecture, and cost-reduction strategies for AI workloads, thus enhancing educational offerings accessible across the industry. Mr. Campbell's consultancy roles extend to advising VC firms and Fortune 500 companies on AI and cloud technology, leveraging his expertise in bias training, deep learning, as well as AWS &Openshift to navigate clients through intricate AI initiatives. Daniel Campbell's appointment signifies AiMining Technologies' steadfast commitment to fostering innovation and excellence in the AI sector.

His seasoned expertise and strategic leadership are poised to bolster the company's mission of advancing responsible AI development and spearheading new advancements in artificial intelligence.