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EN
The use of the Amazon Web Services cloud enables new functionalities that are not possible with traditional solutions: low latency, local data processing and storage, and direct connectivity to other cloud services. Reimagining the way IoT connectivity services are presented by combining AWS cloud technology with mobile connectivity offers rapid prototyping to help connect devices natively over Wi-Fi. For this, the MQTT communication protocol is used to interact with the IoT device and exchange data, which allows controlling the basic functions of a sensor node. The installation is realized through a software development kit (SDK), which allows the creation of an application for Android devices. This solution gives the option to integrate together, improving the connectivity of the IoT system. The results enable board logging and network configuration, and can also be used to control the IoT device. The embedded firmware provides the required security functions.
2
Content available Machine Learning Based on Cloud Solutions
71%
EN
Cognition is a domain of thinking creatures, isn't it? Based on that computers cannot learn anything more than was in the initial data feed. In this article, I just want to defend that nowadays technical solutions can break this rule. The aim of this article is to provide a short technical overview what Machine Learning (ML), Artificial Intelligence (AI) and Neural Networks (NN) were before in the area of standalone gigantic servers, and how do they look now in Cloud Computing (CC) times. The ML paradigm is not any more reserved for big enterprises only but now is available for single internet user. I just want to present AWS and Azure, as the biggest CC providers, functionalities and potential usage of such Cognitive Services (CS) in current internet services. The great example is for instance bot usage instead of diving deep in the FAQ on the company website or digging into the corporate wiki. Another big area is graphics analysis and sound or text recognition. Those are only examples of predefined CC functions ready for use right now in the public cloud.
EN
Autonomous weapons systems (AWS) are one of the emerging modern military technologies that are attracting more and more attention of the international community. While they raise a lot of questions with respect to various fields of law, the biggest worry is that there will be no accountability for their wrongful use. This article focuses on the individual criminal responsibility for war crimes committed with the use of AWS. Four modes of responsibility, which could be potentially applied to AWS-related war crimes, are considered in turn with the aim of ascertaining, whether the current rules of international criminal law provide sufficient basis to assign responsibility for these crimes.
PL
Na kanwie cyklu rozważań pod wspólnym tytułem, które rozpoczęto w numerze 6/2011, należy stwierdzić, iż obecny poziom techniki pozwala na utrzymywanie przez systemy sterowania ruchem bezpiecznych odstępów pomiędzy kolejnymi pojazdami, wraz ze wskazywaniem dopuszczalnej prędkości na trasie, dostosowującej ruch do ograniczeń przepustowości. Kolejnym narzucającym się krokiem automatyzacji procesu prowadzenia ruchu jest przejęcie przez maszynę uprawnień maszynisty – człowieka regulującego prędkość pojazdu.
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