Dans les années 1930, Herbrand avait posé les conditions de validité d'une démonstration automatique. En 1953, Quine donnait une règle d'inférence originale ; définie pour l'ordre O, elle présentait ...

La programmation procédurale est un paradigme de programmation basé sur le concept d'appel procédural. Une procédure, aussi appelée routine, sous-routine, méthode ou fonction (à ne pas confondre avec ...

Devenu indispensable dans de nombreux secteurs, le data scientist transforme les données en leviers de décision. Un profil rare, technique et recherché ...

Au sommaire de ce numéro de mai — juin 2026 : Utilisons une libNFC « locale » pour lire un tag RFID non supporté : ST SRT512.

The Mojo language is finally available in a 1.0 release. It’s billed as “write like Python, run like C++”, and it offers compatibility with the Python ecosystem along with many memory safety metaphors ...

Superstar soccer player Neymar da Silva Santos Jr. once said, “Individually, I always want to give the most. I want to help the Brazilian National Team the best way possible, whether it is with goals, ...

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Over the past few decades, unmanned aerial vehicle (UAV) technology has played a significant role in military and civilian applications. To meet the challenges of the future, in addition to improving ...

This article addresses the problem of achieving relative position-based formation control for leader-follower multiagent systems in a distributed manner using a prescribed performance strategy. Both ...

Abstract: This article addresses the problem of path following for underactuated unmanned surface vessels (USVs) formation via a modified deep reinforcement learning with random braking (DRLRB). A ...