Jay van Zyl @ ecosystem.Ai

Jay van Zyl @ ecosystem.Ai

Machine learning based intratumor heterogeneity signature for predicting prognosis and immunotherapy benefit in stomach adenocarcinoma – Nature.com

Machine learning based intratumor heterogeneity signature for predicting prognosis and immunotherapy benefit in stomach adenocarcinoma  Nature.com

Stanford economist Erik Brynjolfsson predicts that within 5 years, AI will be so advanced that we will think of human intelligence as a narrow kind of intelligence, and AI will transform the economy

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Looking for AI that I can upload all of my companies machinery schematics and manuals to answer any questions when equipment goes down.

I work at a millwork shop with several older CNC's, beam saws, doweling machines, etc. These older pieces of equipment tend to have their issues and I am the one tasked to fix them. It would be great if I had an AI that would know these machines in…

Itron Report Reveals the Critical Role of AI in Addressing Unprecedented Demand and Safety Challenges for Utilities – GlobeNewswire

Itron Report Reveals the Critical Role of AI in Addressing Unprecedented Demand and Safety Challenges for Utilities  GlobeNewswire

Itron Report Reveals the Critical Role of AI in Addressing Unprecedented Demand and Safety Challenges for Utilities – StockTitan

Itron Report Reveals the Critical Role of AI in Addressing Unprecedented Demand and Safety Challenges for Utilities  StockTitan

Comcast Business 2024 Cybersecurity Threat Report: Artificial Intelligence Drives New Era of Cyber Threats and Defenses – The Bakersfield Californian

Comcast Business 2024 Cybersecurity Threat Report: Artificial Intelligence Drives New Era of Cyber Threats and Defenses  The Bakersfield Californian

Scientists develop machine learning tool to accurately identify Arabic dialects in 22 Arabic-speaking countries – Tech Xplore

Scientists develop machine learning tool to accurately identify Arabic dialects in 22 Arabic-speaking countries  Tech Xplore

Scientists develop machine learning tool to accurately identify Arabic dialects in 22 Arabic-speaking countries – Tech Xplore

Scientists develop machine learning tool to accurately identify Arabic dialects in 22 Arabic-speaking countries  Tech Xplore