One-off tests don’t measure AI’s true impact. We’re better off shifting to more human-centered, context-specific methods.

Discover how the AutoResearch framework can automate your machine learning workflows and drastically reduce manual AI training time.

No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand ...

Abstract: Intelligent Reflective Surfaces (IRSs) are recognized as fundamental technology in the context of the forthcoming sixth-generation (6G) communication systems. Non-Orthogonal Multiple Access ...

AI coding agents are now standard tools for every developer. But one agent is just one perspective. Work like a Tech Lead: assign one task to multiple agents, run in parallel, and compare outcomes ...

While LLMs now routinely exceed human performance on medical licensing examinations, their translation to clinical practice remains poorly characterized. Objective: This systematic review aims to ...

The “Loop” feature in Cloud Code offers a focused solution for automating short-term, recurring tasks within a three-day timeframe. As highlighted by Nate Herk | AI Automation, this feature combines ...

Abstract: This paper focuses on the design and performance analysis of faster-than-Nyquist (FTN) signaling employing enhanced 5G low-density parity-check (LDPC) codes, oriented toward the requirements ...

The Container Port Performance Index (CPPI) provides a global benchmark of how container ports perform in handling vessel calls. Developed jointly by the World Bank and S&P Global Market Intelligence, ...

Reference implementation of high-performance PyTorch, CUDA, and Triton workloads for NVIDIA Blackwell platforms. The repository packages 20 focused chapters, advanced labs, and the shared benchmarking ...