Writing my own virtualized loader is something I’ve been wanting to do since I first read Microsoft’s deep dive on FinFisher’s multi-layered VM obfuscation back in 2018. FinFisher didn’t just use one ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

The Linear cloudy issue tracker and project manager has introduced an AI agent and plans to add AI coding assistance, with CEO and co-founder Karri Saarinen declaring that "issue tracking is dead." ...

Abstract: Carbon capture and storage (CCS) seems to be an indispensable technology to safeguard the future of fossil-fired generation in the context of global warming. The deployment of CCS has an ...

Linear TV’s direct-sold era may be nearing its end. NBCU is testing agentic systems that can automatically activate campaigns across its entire portfolio – including live sports programming on linear ...

Chinese AI startup DeepSeek has released two powerful new AI models that the company claims match or exceed the capabilities of OpenAI's GPT-5 and Google's Gemini-3.0-Pro — a development that could ...

Apple quietly dropped a new AI model on Hugging Face with an interesting twist. Instead of writing code like traditional LLMs generate text (left to right, top to bottom), it can also write out of ...

Kids watching "Bluey," "SpongeBob Squarepants" and "Paw Patrol" (Chris Smith/TheWrap) For decades, the act of watching kids TV was by appointment only. The networks dictated what was shown and when, ...

The interface provides a number of useful features for Java programmers who want to build either large models or apply decomposition strategies that require a lot of resolves. The interface has ...

Abstract: We study both the value function and Q-function formulation of the linear programming approach to approximate dynamic programming. The approach is model based and optimizes over a restricted ...

STreeD is a framework for optimal binary decision trees with separable optimization tasks. A separable optimization task is a task that can be optimized separately for the left and right subtree. The ...