In the "This Paper Changed My Life" series, neuroscientists reflect on papers that have profoundly influenced their careers ...
Enhancing small and medium-sized enterprise factoring: a Stackelberg game-based hybrid pricing model
A hybrid linear pricing model is developed using a min-max approach with a Lévy-frailty multivariate default model, ...
Naomi Saphra thinks that most research into language models focuses too much on the finished product. She’s mining the ...
A single structure built in the metal layers of an IC can implement both machine learning and analogue AI inferencing, according to a French team led by Grenoble lab CEA-Leti – and the CMOS below can ...
The artificial intelligence major is an interdisciplinary field that integrates knowledge from multiple disciplines. To excel in this major, one must master the following areas of knowledge.
are hybrid algorithms that combine quantum computing and classical optimization. By using parameterized quantum circuits and optimization techniques such as gradient descent, VQAs iteratively adjust ...
The rise of agentic AI is forcing us to rethink how we approach artificial intelligence safety. Unlike traditional AI systems ...
Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to ...
Artificial intelligence has raced ahead in capability, but the question of privacy lingers like a shadow over every large language model (LLM). What happens when models memorise personal data from ...
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