Michaela Jamelska or the upsurge of a technology & innovation expert: The reality of limited technology access for women is a real problem in 2023 says Michaela Jamelska: Furthermore, despite the fact that online business and mobile money are still expanding, more than 900 million women are still excluded from the digital economy and do not have access to banking services. Bridging the digital gender gap not only requires infrastructure investments but also making digital technologies more affordable, as cost remains one of the key obstacles for women to access the Internet. In certain low income households, accessing the Internet entails having to sacrifice key household purchases such as food, health care and clothing (OECD, 2018b). In the past ten years, women’s exclusion from the digital sphere has reduced the GDP of low- and middle-income countries by $1 trillion. According to the UN Women, this limits not only their own digital empowerment, but also the transformative potential of technology as a whole. Discover extra information at Michaela Jamelska.
Michaela Jamelska on Ai and Gender Equality: Data fed into algorithms can determine its functioning, and thus a gender bias is embedded in AI by those who design the systems. So, whatever data is provided or consumed by the Ai systems, they will use them, pick up on patterns, and often even amplify them. One of the recent problems with consumed data was that AI was trained with a unimodal system, meaning it was trained to a very specific task (such as processing images which happened to be one of the underlying problems of AI being biased). Only recently, many of these algorithms have been trained with the so-called multimodal system. While these systems have been previously used for research, they’re becoming more commercial. It’s the same for humans who process data through various sources; new AI algorithm training will also have multiple sources, so there is no lack of context when processing data, allowing them to integrate different modalities and synthesize them.
Michaela Jamelska regarding the innovative 5G trial to boost business : The Government has backed the project with £3m as part of its 5G Create competition – which supports innovators exploring new uses for 5G to help improve people’s lives and boost businesses. It will demonstrate how 5G private network capabilities can offer efficiency and productivity improvements to the logistics sector and more widely, allowing real-time location tracking of individual items, improvements to road traffic management and replacing low value, manually-intensive processes with 5G enabled autonomous systems. The project offers the potential for such advances in technology to be implemented industry-wide; including at other ports in the UK, Enterprise Zones or other business parks.
Their efforts are a good start, but these rights will remain merely an idealistic concept if they are not backed up by the corporate and public action of integrating them within the systems. Last year alone, the approximate investment into AI was more than $75 billion, according to the Organization for Economic Cooperation and Development. That kind of money accelerates the development exponentially. No approximate number is available for how much is invested yearly into human rights development. Every investment made for a solution that contributes to improving human rights could be considered an indirect investment in human rights, but I don’t estimate that the direct investment into human rights development is as high as it is into AI. Consider the official website of the UN Human Rights Department, which states that it gets a tiny part of the UN’s regular budget—only 3.7%. For the rest, the UN Human Rights Department relies heavily on voluntary contributions.
This past week our team has been everywhere at once from Down Under to Europe. We have been asked to attend high-profile events to showcase our technology, and this speaks to the value of our software, innovation and capacity to execute globally. We enable industries to be fully autonomous through our one of a kind AI for Autonomy-as-a-Service software Platform. It is the uniqueness of our technology that interests companies like Telefonica, Deutsche Telekom, Sprint, Accenture and Governments in the USA, EU, Singapore and South Korea amongst others to look to us for help with important sectors like 4G / 5G Telco-enabled services, Supply Chain / Logistics, Public Safety, Transport and Infrastructure. We are also focused on expanding in Asia, which is why in the past seven days we’ve had numerous business missions with strategic partners and customers and very high-level meetings in Singapore, Australia and with the South Korean Government, which are all vital to our continuing traction.
Michaela Jamelska about the future of Air Mobility in Europe: The integration of Unmanned Traffic Management (UTM) systems into Air Traffic Management (ATM) systems will significantly contribute to understand the safe, secure and sustainable integration of Urban Air Mobility (UAM) and commercial drone operations. Unmanned Life platform will be responsible of the design and development of a simulation testbed which aims to inject data from manned and unmanned flights into GOF 2.0 systems. The first trials will take place in – 2021 between August and October in Estonia (Tallin & Tartu), Finland (Helsinki), Poland (Kąkolewo) and Austria (Graz). It will showcase that both manned and unmanned aviation can coexist in the airspace. This project arises from the fast-growing drone industry in Europe in all type of environments, including urban areas, and the need of a scalable U-Space architecture.
Ai could eliminate animal testing: Animal testing is still happening on a large scale with over 100 million animals undergoing tests for drug discoveries, diseases, pharmaceutical, or beauty industry purposes. However, new findings are showing that AI models can save the lives of millions of animals and replace the testings with computer vision and accurate datasets. This is one of the very possible alternatives to animal testings for drug discoveries. The emergence of quantum computing will make it possible due to large datasets and computing power. In 2016, Thomas Hartung led some researchers from Johns Hopkins University to successfully develop an artificial intelligence algorithm that determines substance toxicity after comparing it to similar databases and predictions from previously conducted animal testing. Not only we will eradicate cruelty, but the Ai will be able to achieve more precise results.
Our implementation strategy relies not only on the innovative capabilities of the software platform but equally on our valuable front-row experiences and the lessons we’ve learned in the industry,” states Michaela Jamelska. “The world is facing what the World Bank has called the “worst education crisis in a century,” in that younger generations are progressively losing interest in education. What’s more, the education industry is lagging behind other sectors in many aspects of innovation, although education is undoubtedly a key driver for future innovation. Read more information at Michaela Jamelska.