Python implementation of some common Connectionist Temporal Classification (CTC) decoding algorithms. A minimalistic language model is provided. The output mat (numpy array, softmax already applied) ...
The MDP toolbox provides classes and functions for the resolution of descrete-time Markov Decision Processes. The list of algorithms that have been implemented includes backwards induction, linear ...
Abstract: Fairness is an increasingly important concern as machine learning models are used to support decision making in high-stakes applications such as mortgage lending, hiring, and prison ...
The work addresses a gap in biometric testing, as NIST’s IREX has focused primarily on closed-source commercial iris ...
What do the Tower of Babel, the biblical figure Nehemiah, algorithms and realpolitik have in common? They’re all discussed – along with integral human development, the technocratic paradigm and ...
It was mid-October, peak leaf-peeping season in Hanover, New Hampshire, and Chad Markey was on a rare break between clinical rotations during his last year of medical school. He should have been ...
Overview: Qiskit remains the world’s most widely used quantum SDK for research and enterprise projects.AI and quantum integration have increased demand for plat ...
Now Hear This is a monthly A&R column that provides you with exciting new sounds we discovered through the innovative new music discovery platform Groover. Each month, you can expect a varied ...
An explainer on some of the key terms discussed in "Magnifica Humanitas," which is Pope Leo XIV's first encyclical.
Results: The fine-tuned models and RAG framework consistently enhanced text generation tasks. For example, the fine-tuned models improved the machine translation task by 20.27 in terms of BLEU score.
Learn why Linux Kernel developers want to deprecate AF_ALG features, and the security concerns driving the decision.
Pilots’ voices from the last seconds of a fatal cargo plane crash have been re-created by Internet sleuths using software and ...