Instead of your AI juggling 50+ tools scattered across different MCPs, NCP gives it a single, unified interface with code mode execution, scheduling, skills discovery, and custom Photons. Behind the ...

The best systems programming books focus on both theory and hands-on practice, making tough topics easier to grasp. They ...

Explore the recent advances in fuzzing, including the challenges and opportunities it presents for high-integrity software ...

Abstract: With the increase in both the model size and dataset size of distributed training (DT) tasks, communication between the workers and parameter servers (PSs) in a cluster has become a ...

A new technical paper, “Quantifying the Global Impact of Constraint Programming Based Local Scheduling in Semiconductor Manufacturing,” was published by Infineon and the University of Klagenfurt.

PureML is a learning-friendly deep-learning framework built entirely on top of NumPy. It aims to be small, readable, and hackable while still being practical for real experiments and teaching.

The Navy is betting $900 million that highly automated factories can help it add submarines in an era when skilled workers are scarce. The contract will support “non-recurring engineering across three ...

Abstract: We consider the problem of dynamically optimizing a multiple-input multiple-output (MIMO) wireless waveform in a given potentially heavily utilized fixed frequency band with applications in ...

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...