Valve’s Steam Machine may not be the most powerful gaming PC, but its fixed hardware target and SteamOS push could encourage ...

Sperax, the DeFi protocol founded in late 2019 and creator of USDs, the first auto-yield stablecoin, today announced that SperaxOS , its AI agent workspace for DeFi, is now fully public and open ...

Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial ...

The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

flacco is a collection of features for Explorative Landscape Analysis (ELA) of single-objective, continuous (Black-Box-)Optimization Problems. It allows the user to quantify characteristics of an ...

Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd., 1 CREATE ...

Abstract: Research on new optimization algorithms is often funded based on the motivation that such algorithms might improve the capabilities to deal with real-world and industrially relevant ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This research introduces a machine learning-centric approach to replicate olfactory ...

Optimization on quantum hardware is required in many applications, including Hamiltonian simulation to quantum machine learning; this entails interesting problems that must be addressed both for noisy ...

We review encoding and hardware-independent formulations of optimization problems for quantum computing. Using this generalized approach, an extensive library of optimization problems from the ...