A new report highlights b2wise's software as an effective solution for Sales & Operations Execution (S&OE), addressing the short-term operational gaps often missed by traditional S&OP. While ...
The technology uses predictive algorithms to identify frequently accessed data and move it between flash storage and high-speed memory in real time, reducing the amount of expensive DRAM a data center ...
Companies spent the last two years trying to get AI into production. Now, a different conversation is starting to happen ...
This work provides the first finite-sample complexity analysis for policy evaluation in robust average reward MDPs. By constructing a carefully designed semi-norm, it proves that the robust Bellman ...
Abstract: To enable compute-intensive and delay-sensitive maritime services, unmanned surface vessels (USVs) can offload tasks to mobile edge computing (MEC) servers mounted on unmanned aerial ...
Abstract: This paper studies the outage probability minimization problem for state estimation of linear dynamical systems using multiple sensors, where an estimation ...
Les E. Atlas, Ronald A. Cole, Jerome T. Connor, Mohamed A. El-Sharkawi, Robert J. Marks II, Yeshwant K. Muthusamy, Etienne Barnard [Paper] ...
The combination of reinforcement learning with deep learning is a promising approach to tackle important sequential decision-making problems that are currently intractable. One obstacle to overcome is ...
Total hip replacements (THR) have been performed in the UK from the 1960s and since then we have seen surgical techniques, the design of implants, and imaging modalities rapidly develop. This paper ...
Despite enhancements in the development of robotic systems, the energy economy of today's robots lags far behind that of biological systems. This is in particular critical for untethered legged robot ...
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