Modern networks have outgrown reactive planning. With 5G and rising traffic, manual analysis and legacy models can’t keep up ...

36th Annual State of Logistics Report: Navigating uncertainty amid rising costs and global disruptions The 36th Annual State of Logistics (SoL) Report highlights a logistics market tested by economic ...

In this talk, I will discuss some of my recent and surprising findings on the use of hashing algorithms for large-scale estimations. Locality Sensitive Hashing (LSH) is a hugely popular algorithm for ...

With hardware innovation somewhat stagnated, the next frontier of technological advancement seems to be putting computers to work on intricate tasks through artificial intelligence. With AI and ...

(Nanowerk News) Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon ...

Great progress has been made in the past few years in our understanding of nonconvex optimizations. In this talk, I will share with you three of our works in this direction. In one, we study low-rank ...

Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand ...

Resident data scientist Dr. James McCaffrey of Microsoft Research turns his attention to evolutionary optimization, using a full code download, screenshots and graphics to explain this machine ...