Suchergebnisse

Au moment où la réduction de la menace force à repenser la stratégie militaire et à revoir les priorités de la défense, nous sommes à la veille d'un saut qualitatif sensible conduisant à une panoplie d'armes et de systèmes d'armes intelligents.
Des capteurs performants fournissent les informations de base en filtrant l'ess¬ entiel de l'accessoire.
Les principaux senseurs sont les sonars, les radars et les caméras infrarouges. Pour chacun d'eux, des progrès importants viennent d'être accomplis. Sonar à basse fréquence. Radar à commande de phase. Caméras infrarouges avec semi-conducteurs refroidis à une température cryogénique.
Lorsque les opérations de détection, fusion et identification sont accomplies, l'arme dispose d'une représentation objective de son environnement perçu. Toutes les techniques de l'intelligence artificielle sont alors utilisées pour en déduire une conduite à tenir pour effectuer la mission.
Ces armes intelligentes sont très en avance sur la stratégie militaire faite par des hommes non formés à ces armes intelligentes.

Lethal Autonomous Weapons (LAWs) are robotic weapon systems, primarily of value to the military, that could engage in offensive or defensive actions without human intervention. This paper assesses and engages the current arguments for and against the use of LAWs through the lens of achieving more ethical warfare. Specific interest is given particularly to ethical LAWs, which are artificially intelligent weapon systems that make decisions within the bounds of their ethics-based code. To ensure that a wide, but not exhaustive, survey of the implications of employing such ethical devices to replace humans in warfare is taken into account, this paper will engage on matters related to current scholarship on the rejection or acceptance of LAWs—including contemporary technological shortcomings of LAWs to differentiate between targets and the behavioral and psychological volatility of humans—and current and proposed regulatory infrastructures for developing and using such devices. After careful consideration of these factors, this paper will conclude that only ethical LAWs should be used to replace human involvement in war, and, by extension of their consistent abilities, should remove humans from war until a more formidable discovery is made in conducting ethical warfare.

Artificial Intelligence is going to war. Intelligent military systems are already reshaping conflict—from the chaos of battle, with pilotless drones and robot tanks, to the headquarters far from the action, where generals and politicians use technology to weigh up what to do. AI changes how we fight, and even how likely it is that we will. Warbots will be faster, more agile and more deadly than today's crewed weapons. New tactics are already emerging, but much deeper thinking is needed. When will an intelligent machine escalate, and how might you deter it? Can robots predict the future? And what happens to the 'art of war' as machines become creative? An international campaign against 'killer robots' hopes to ban AI from conflict. But the genie is out—autonomous weapons are too useful for states to outlaw. Still, crafting sensible rules for our warbots is possible. This fascinating book shows how it might be done.

Bakan categorized military tactics according to their reliance on "force" or "intelligence" suggesting that tactics that rely on the latter are more effective. Intelligence refers to an emphasis on local creativity, surprise, stealth, and adaption, while force relates to an emphasis on central direction, direct power, and hierarchical structure. Bakan's hypothesis was tested in realistic field exercises (n = 237) that employed tactical engagement simulation of weapons to simulate casualties and record events. The field exercises consisted of platoon-level, light infantry offensive operations. Intelligence was defined in terms of the extent of previous training (in stealth); force was defined by the personnel force ratio, reflecting the degree of numerical predominance on offense. Training in intelligent tactics increased the odds of the offense winning in simulated battle by 30 to 1, compared with the force ratio, which only increased these odds by 3 to 1-highlighting the importance of intelligent tactical training.

The tragic events of 9/11 and the concerns about the potential for a terrorist or hostile state attack with weapons of mass destruction have led to an increased emphasis on risk analysis for homeland security. Uncertain hazards (natural and engineering) have been successfully analyzed using probabilistic risk analysis (PRA). Unlike uncertain hazards, terrorists and hostile states are intelligent adversaries who can observe our vulnerabilities and dynamically adapt their plans and actions to achieve their objectives. This article compares uncertain hazard risk analysis with intelligent adversary risk analysis, describes the intelligent adversary risk analysis challenges, and presents a probabilistic defender–attacker–defender model to evaluate the baseline risk and the potential risk reduction provided by defender investments. The model includes defender decisions prior to an attack; attacker decisions during the attack; defender actions after an attack; and the uncertainties of attack implementation, detection, and consequences. The risk management model is demonstrated with an illustrative bioterrorism problem with notional data.

Abstract: Even the technology has advanced a lot in these modern times, women safety is still a massive issue. Women are not safe anywhere. Their safety is an essential and decisive issue in today's world. They face extreme troubles when they are alone, travelling on lonely roads and at workplace. Education is essential for everyone and especially for women for their better growth. It provides awareness and capacity to distinguish between good and bad. It is a powerful weapon to end poverty. Government and NGOs has made many rules and regulations for women safety but violence against them is increasing day by day. The crime against women has never ended but increases at a higher rate. There are many instances of harassment, abuse, eve-teasing, kidnapping, domestic violence and rape. Women are working equally as of men. They are leading in every field such as sports, business, politics, education, movies, dance etc. But still their safety is a big challenge. Non-working women feel insecure to step out of their house due to the escalating crime rates. With the boom in the IT and corporate sector, many women are now working and even during nightshifts. The employed women feel themselves more in danger because they have to face harassment during travelling and at workplace too. Sexual harassment by their supervisor or seniors at workplace is increasing rapidly. In this paper many safety systems that were proposed or developed have been discussed. Major drawbacks in the current system, devices or applications have been highlighted. Latest technologies like machine learning, artificial intelligence or data science has been ignored. The present systems does not account for audio or video recordings that can be helpful in finding the criminal and providing justice to women. A Real Time Intelligent System for Women Safety has been proposed to overcome these limitations. This system will be highly sophisticated with latest techniques and will be easy to use for every woman. In case of emergency, the proposed system can ...