Over the years, data centers have reinvented themselves through virtualization, the cloud and AI. The next iteration is ...
One calculation probes complex behavior and yields a checkable result where classical simulation blows up in cost—vital for chemistry and medicine.
SharpSMT first fuses DPLL(T) polytope enumeration with new factorization, variable-elimination and caching pre-processing, ...
Abstract: The Travelling Salesman Problem (TSP) is a well known method for the optimisation problem that asks you to find the shortest route that visits each city in a set exactly once and then goes ...
Bored Panda on MSN
The uncanny mind: 54 accounts of high-level cognitive behavior
You get smart. Then you get uncomfortably smart. That rare, off-the-charts, stop-everyone-in-their-tracks type of ...
Abstract: Existing dependent task offloading approaches mainly rely on centralized algorithms and are typically constrained to single-objective optimization. In addition, offloading fairness among fog ...
GreenScale: Multi-Objective Autoscaling for SLA, Cost, and Energy Efficiency in Cloud-Native Systems
Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...
The observed near flatness of galactic rotation curves has long been interpreted as evidence for large amounts of non-baryonic dark matter. Here we show that this phenom ...
OpenAI's GPT-5.2 Pro has solved multiple decades-old Erdős math problems, but Fields Medalist Terence Tao says the wins ...
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