The fan is designed with larger blades and a barrier ring, which helps to increase the downward air pressure. However, during our testing, we discovered that the fan’s lighting can be controlled as a generic ARGB by connecting it to a typical 3-pin DRGB port.

The grill houses a transparent 120mm ARGB fan that emits colorful lighting that is ASUS Aura Sync ready. Just like the ROG THOR, the top panel of the ROG LOKI features a brushed metal grill with the ROG logo etched in the top left corner. However, managing cables may pose a slightly greater challenge than usual. Even though it is still an SFX PSU, the ROG LOKI is designed to save space and can be accommodated in standard ITX cases. Read the full story on MIT Technology Review.The ROG LOKI power supply unit deviates from the usual SFX design and instead employs the SFX-L form factor, which is slightly larger with dimensions of 125mm x 125mm x 63.5mm. Thus it is a poor tool for modeling continuous processes, especially ones that are measured irregularly over time. Its design requires it to learn from data with clear stages of observation.

A traditional neural network struggles to handle this. But data from medical records is kind of messy: throughout your life, you might visit the doctor at different times for different reasons, generating a smattering of measurements at arbitrary intervals. Published in MIT Technology Review | by Karen Hao, DecemResearchers borrowed equations from calculus to redesign the core machinery of deep learning so it can model continuous processes like changes in health.ĭavid Duvenaud was working on a project involving medical data when he hit upon a major shortcoming in AI.Īn AI researcher at the University of Toronto, he wanted to build a deep-learning model that would predict a patient’s health over time.

Resources for Students, Faculty & Staffĭavid Duvenaud, an assistant professor at the Departments of Statistical Sciences and Computer Science, and his team borrowed equations from calculus to redesign the core machinery of deep learning.Ī radical new neural network design could overcome big challenges in AI.Research Opportunities, Scholarships & Awards.

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