Abstract: This work proposes a hybrid, explicit-implicit temporal buffering scheme for conditional residual video coding. Recent conditional coding methods propagate implicit temporal information for ...

Abstract: The conditional coding paradigm is widely used in learned video compression, which shows superior performance in capturing redundancies within a large context space. However, existing ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Eric's career includes extensive work in both public and corporate accounting with ...

At 39C3, Johann Rehberger showed how easily AI coding assistants can be hijacked. Many vulnerabilities have been fixed, but ...

AI coding agents are highly vulnerable to zero-click attacks hidden in simple prompts on websites and repositories, a ...

By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...

This is the official implementation code of the paper "CondLaneNet: a Top-to-down Lane Detection Framework Based on ConditionalConvolution". (Link: https://arxiv.org ...

Anyone preparing for quant interviews must develop depth across several skill areas and know how to apply theory in a ...

Claude Code Full-time programmers handling large code repositories Token consumption is a bit on the higher side Starts at $17 per month OpenAI Codex Async AI coding agent, delegate tasks, pull PRs ...

No code automation platforms let you build workflows and connect apps without writing any code, making them accessible to ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...