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 ...

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 ...

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 ...

An explainer on some of the key terms discussed in "Magnifica Humanitas," which is Pope Leo XIV's first encyclical.

Learn why Linux Kernel developers want to deprecate AF_ALG features, and the security concerns driving the decision.

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.