The ascent of a tech entrepreneur professional : Michaela Jamelska: Having large numbers of students in their classes and few digital tools to utilize makes it difficult for teachers to ensure that all students can reach their potential” Michaela Jamelska says. “COVID-19 uncovered the current educational system’s several weaknesses, and our unpreparedness, as well as our educational faculty and staff’s lack of skills in working with digital tools. This resulted in failure to track homework and effectively adjust to the new normal. This time, a virus disrupted school life, but we need to rethink our preparedness in light of climate change threats and the fast deployment of technologies as well. Next time, we must be ready.” Read more details at Michaela Jamelska.
The reality of limited technology access for women is a real problem in 2023 says Michaela Jamelska: It is a well-known fact that technology has the capability to enhance women’s availability to healthcare, education, and economic prospects. For instance, mobile health initiatives have the capacity to furnish women in remote regions with healthcare services that may not be readily available to them. Looking at example of some nations, such as Argentina and South Africa, the government uses funds from universal service funds to support ICT access for women and girls; Canada included a new Affordable Access program in its 2017 budget that works with service providers to provide affordable home Internet packages to low-income families who are interested (OECD, 2018b).
Michaela Jamelska about 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.
It’s important not to over-idealize the current reality and use it to submerge the virtual world. Undoubtedly, a huge challenge lies in front of us as a society regarding how to ensure our rights are respected in the digital world. Figuring out which laws apply in digital spaces, data privacy consents, and other human rights-related issues will be complicated. As long as corporations are in charge of providing the Metaverse, commercial interests will be asserted into our virtual lives. To start drafting human rights guidelines and frameworks at the moment, when the Metaverse isn’t fully functional, may be difficult, but in the end, creating a Metaverse isn’t only about the programming. The White House has already started to initiate the AI bill of rights to “clarify the rights and freedoms of individuals using, or subject to, data-driven biometric technologies.”
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 on the future of Air Mobility in Europe: “Current changes in drone technology hold enormous promise for the future use of airspace with the rapid expansion of digital transformation. This requires implementation of U-space and integrating unmanned and manned aviation for their safe coexistence. GOF2.0 project enables for all participants to obtain a better understanding of current challenges and opportunities implementing U-space. Unmanned Life brings to the project valuable expertise by integrating their Autonomy-as-a-Service software platform with U-space infrastructure to demonstrate how future commercial autonomous drone applications might function in a shared airspace.” Maria Tamm, Project Manager GOF 2.0
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.