A new framework combining reinforcement learning and Siamese convolutional networks with blockchain-secured routing reports ...

A simulation study in Cluster Computing reports that a hybrid chaotic fire hawk and pufferfish optimization algorithm lowered ...

The traffic conditions on your route home are being recorded by thousands of sensors at this very moment. Yet, even though ...

High-performance brain-computer interfaces (BCIs) rely on stable neural representations, yet brain functional impairments ...

The HackerNoon library is now ranked by reading time created. Start learning by what others read most. The Future of Gaming ...

Built on an evolutionary engine first released in 2018, STAR Fuzzer by Bright Security finds crashes, memory exhaustion and memory-safety bugs in security-critical code without a running application.

Rather than relying on local gate-level rewrites, the system deployed frontier LLM models (Claude Mythos 5) in an automated closed loop: proposing complete Python programs across distinct algorithmic ...

For quantum computers to evolve from laboratory experimental devices into practical machines that solve real-world problems, a breakthrough on the software side is essential—specifically, how to make ...

In a research post published October 16, 2026, Anthropic reported that its Claude Mythos 5 model, working in a closed loop with an automated evaluator and largely on its own, designed quantum circuits ...

Facebook is the latest social media platform to give users greater control over the algorithm that determines what appears in their feeds. Meta announced the launch of its new AI-powered feature, ...

Recommendation algorithms promise social media users a personalized experience, but some experts worry they promote doomscrolling, brain rot, and myriad mental health problems. Australia recently ...

Australia plans to force social media firms to enforce an "opt-out" feature for algorithm-based feeds. The proposed legislation will let users over the age of16 choose to see content only from people ...