The CPA Journal

Automating Data Analysis with Python Dashboards

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...
Nature

Secrets of DeepSeek AI model revealed in landmark paper

DeepSeek says its R1 model did not learn by copying examples generated by other LLMs. Credit: David Talukdar/ZUMA via Alamy ...
GitHub

XWSystem: The All-in-One Python Library You've Been Waiting For

XWSystem is the enterprise-grade Python framework that replaces 50+ dependencies with AI-powered performance optimization, military-grade security, 24 serialization formats, automatic memory leak ...

Frequent Updates to AI Algorithms: How Can GEO Adapt to Change with Stability? 5 Key Risk Mitigation Optimization Strategies

When creating content, prioritize the comprehensiveness of the topic over the repetition of a single keyword. Utilize generative AI tools (like DeepSeek) to expand the semantic range of content, ...
techxplore

Can Microsoft's analog optical computer be the answer to more energy-efficient AI and optimization tasks?

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid due to its intensive energy consumption. Digital computing's energy and ...
IEEE

Automated Configuration of Evolutionary Algorithms via Deep Reinforcement Learning for Constrained Multiobjective Optimization

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...
C&EN

Cone-Shaped Constrained Quasi-Newton Method: Efficient and Robust Single-Ended Transition State Optimization Algorithm

State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Center for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and ...
IEEE

Penalty Removal Search Algorithm for Distributed Optimization of Nonconvex Functions in Economic Dispatch

Abstract: Nonconvexity is a usually overlooked factor in economic dispatch (ED). Enhancing the nonconvexity of the objective function leads traditional convex optimization algorithms easily to fall ...