You'd thinking flying in a plane would be more dangerous than driving a car. In reality it's much safer, partly because the aviation industry is heavily regulated. Airlines must stick to strict standards for safety, testing, training, policies and procedures, auditing and oversight. And when things do go wrong, we investigate and attempt to rectify the issue to improve safety in the future. Other industries where things can go very badly wrong, such as pharmaceuticals and medical devices, are also heavily regulated.

Artificial intelligence (AI) is already deeply embedded in so many areas of our lives. Society's reliance on AI is set to increase at a pace that is hard to comprehend. AI isn't the kind of technology that is confined to futuristic science fiction movies – the robots you've seen on the big screen that learn how to think, feel, fall in love, and subsequently take over humanity. No, AI right now is much less dramatic and often much harder to identify. Artificial intelligence is simply machine learning.

In recent years, the availability of massive data sets and improved computing power have driven the advent of cutting-edge machine learning algorithms. However, this trend has triggered growing concerns associated with its ethical issues. In response to such a phenomenon, this study proposes a feasible solution that combines ethics and computer science materials in artificial intelligent classrooms. In addition, the paper presents several arguments and evidence in favor of the necessity and effectiveness of this integrated approach.

The presentation started with an interesting video clip showing how a customer experience Banking Transaction, which no one had ever dreamt of.

As global energy regulations are strengthened, improving energy efficiency while maintaining performance of electronic appliances is becoming more important. Especially in air conditioning, energy efficiency can be maximized by adaptively controlling the airflow based on detected human locations; however, several limitations such as detection areas, the installation environment, and sensor quantity and real-time performance which come from the constraints in the embedded system make it a challenging problem. In this study, by using a low resolution cost effective vision sensor, the environmental information of living spaces and the real-time locations of humans are learned through a deep learning algorithm to identify the living area from the entire indoor space. Based on this information, we improve the performance and the energy efficiency of air conditioner by smartly controlling the airflow on the identified living area. In experiments, our deep learning based spatial classification algorithm shows error less than 5 .

A scientist and a researcher, Brian Roemelle, once said that artificial intelligence is the electricity of the future. And it is difficult to disagree, for AI has a huge impact on many industries right now -- from banking to auto. But have you ever thought how AI works for a sextech? Great changes are happening right now, and although you may not even notice it, your sex experience is getting better. The sex industry is booming -- people accept themselves and their bodies, some of them open out, some start experimenting, and some identify themselves as digisexuals (people whose primary sexual identity comes through the use of technology -- they don't need other people to have sex to).

Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including wireless mesh network technology platform and fixed solutions, announced that it has received a Notice of Publication under the Patent Cooperation Treaty ("PCT") as of March 26, 2020 as International Patent Application Publication No. WO/2020/060788. This Notice of Publication comes after GBT received an innovative opinion for its 3D microchip patent where PCT, the patent authority which manages the international research report, stated that the claims are novel and non-obvious. The invention presents new die structure and orientation specially designed for the deep nanometer range. The technology enables the manufacturing of more devices on silicon in order to achieve denser circuits/features on the die and enables new IC (Integrated Circuit) architecture for larger designs within smaller areas while lowering the overall IC's power consumption. Danny Rittman, the GBT's CTO, said: "Moving toward a patent grant, the invention covers FinFet technology (Fin Field-effect transistor) and conventional CMOS technologies (Complementary Metal–Oxide–Semiconductor - a technology for making low power integrated circuits). With this new structural method, we aim to create new capabilities for IC designers, enabling vast amount of circuits on one chip. Simply put, we believe this platform could be used to create a new dimension for the IC (integrated circuits) arena. Moreover, it may lead to further GBT development with regard to potential medical platform and other products to be developed using our current joint venture with Tokenize-IT S.A.".

The European Commission is being urged to publish reports on the trials of an Artificial Intelligence lie detector technology, iBorderCTRL, which has been bankrolled by the EU's long-term research and development funding mechanism, Horizon 2020. Green MEP Patrick Breyer, who is currently embroiled in a legal battle with the Commission's Research Agency for its refusal to disclose ethical assessments of the iBorderCTRL system, said on Tuesday (31 March) that the executive is also refusing to publish information on trials that have been conducted for the technology. The iBorderCTRL system has been tested on various frontiers throughout the EU and uses advanced artificial intelligence technologies to analyse micro-expressions. One of its uses is to detect whether a user is lying or not, when presented with a series of questions, in what has been termed'deception detection.' As part of the trials of the technology, MEP Breyer had sought out information on this component of iBorderCTRL and the proportion of'false positives' that had been identified by the system, following an investigation by The Intercept, which found that the technology made several errors, incorrectly identifying four out of sixteen honest answers as false. Breyer had also pressed the Commission on whether the technology discriminates against certain groups of people, including people of colour, women, the elderly, children, and people with disabilities.

Artificial Intelligence (AI) is developing fast. It will change our lives by improving healthcare (e.g. At the same time, AI entails a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in our private lives or being used for criminal purposes. In order to foster an active dialogue between multiple stakeholders and set out policy options to tackle these challenges, the European Commission has just released a White Paper entitled "On Artificial Intelligence -A European approach to excellence and trust" which is available for download. Interested to learn more on the implications of AI for intellectual property and the themes relevant for legal practice in this field? Take a look at our IP Special on the topic!

Artificial intelligence (AI) has become an area of strategic importance and a key driver of economic development. It can bring solutions to many societal challenges from treating diseases to minimising the environmental impact of farming. However, socio-economic, legal and ethical impacts have to be carefully addressed. It is essential to join forces in the European Union to stay at the forefront of this technological revolution, to ensure competitiveness and to shape the conditions for its development and use (ensuring respect of European values). The Commission is increasing its annual investments in AI by 70% under the research and innovation programme Horizon 2020.