@INPROCEEDINGS{turrisi2024sampling, author={Turrisi, Giulio and Modugno, Valerio and Amatucci, Lorenzo and Kanoulas, Dimitrios and Semini, Claudio}, booktitle={2024 IEEE/RSJ International Conference ...

The PBMF (Publised in Cancer cell ) is an automated neural network framework based on contrastive learning. This general-purpose framework explores potential predictive biomarkers in a systematic and ...

For power engineers, Python has become the default glue language for automation, data analysis, and algorithm development. In the meantime, QSPICE has emerged as a high-performance SPICE-class ...

→ 𝐀𝐈 𝐒𝐤𝐢𝐥𝐥𝐬 𝐓𝐡𝐚𝐭 𝐃𝐞𝐟𝐢𝐧𝐞 𝐁𝐅𝐒𝐈 𝐑𝐨𝐥𝐞𝐬 𝐢𝐧 2026 • Machine Learning Basics Core algorithms, predictive modeling, performance evaluation • LLM Fundamentals Understanding model ...

Poor generalizability continues to hinder mapping brain activity to behavior using human neuroimaging data. A potential solution is predictive modeling, which evaluates generalizability in unseen data ...

Acoustic Resonance Spectroscopy (ARS) is highly sensitive to structural properties such as material, geometry, and environmental conditions; as a consequence, it can noninvasively measure internal ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

Jeremy Freeman, Co-Founder and CTO of Allstacks, is a software engineer, technology architect, and entrepreneur with a career ...

AI can identify threats and speed security analysis, but risk scoring alone cannot determine what software should be allowed ...

Why AI agents could create a new control and security crisis Postman CEO Abhinav Asthana discusses AI agents, agentic AI governance, API security, enterprise automation, AI accountability, and the ...

Designing a Cloud-Native CI/CD Platform at Scale: Spring Boot Microservices, AWS, OpenSearch, Angular, Node.js, Python Analytics, and Datadog Observability Modern software organizations deploy code ...