OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...
Abstract: In this work, we focus on a non-preemptive unrelated parallel machines scheduling problem with a common server and job-sequence dependent setup times. This problem arises when planning the ...
So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
One major issue facing artificial intelligence is the interaction between a computer's memory and its processing capabilities. When an algorithm is in operation, data flows rapidly between these two ...
The Federal Reserve cut interest rates by a quarter point on Wednesday, as it was widely expected to, lowering borrowing costs for the third time since September. The latest cut brings the target ...
WASHINGTON, Dec 10 (Reuters) - A sharply divided Federal Reserve cut interest rates on Wednesday but signaled borrowing costs are unlikely to drop further in the near term as it awaits clarity on the ...
Dec 10 (Reuters) - A majority of U.S. central bankers believe they will ‌need to cut short-term interest rates next year, ‌but are widely split over how much, with a large group opposed to any cuts at ...
Abstract: Non-intrusive load monitoring (NILM) can provide appliance-level power consumption information without deploying submeters for each load, in which load event detection is one of the crucial ...