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AI literacy is the only way to a successful AI-human collaboration and AI-assisted education

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AI literacy is not a new concept. It emerged several years when I was writing for an Ed tech publication. Back then, the talks about AI in education were common with participation of academics, researchers, ed tech companies, and education technologists.

This was before the launch of ChatGPT.

I am now bringing the topic back because AI literacy is something everyone will need in order to survive the transition into what AI will bring to every industry and sector, and even to those who think technology is not their thing.

You can like it or not, yet AI-based technologies are having a significant impact on every industry, automating tasks, improving efficiency in cases, and enabling innovation, fundamentally changing how various sectors operate. This, in turn, affects our daily life by introducing new products and services, optimising processes, and providing more accurate experiences. Not always this is true, though.

Higher education has a role to play preparing the future professionals who will take on upcoming innovations. This is why AI literacy skills have become an undeniable need in university curriculums.

Without AI literacy skills future grad students will find it hard to compete for in-demand graduate-level jobs

This is noticeable already today.

New graduates who are not AI literate will find it hard to find graduate-level jobs. Graduates need to be prepared with the right skills and tools to face the world in the AI era. For this reason, universities must be ready to adapt and provide more AI literacy training to their students in all disciplines. It’s not just adopting AI is teaching the students how and when it is appropriate to use it.

Education institutions need to train their students to live and work in a society where they must interact with Artificial Intelligence in one way or another in both work and personal life. We have reached a point where AI literacy in no longer an option but a requirement for most in-demand jobs. It is the equivalent to being proficient at reading and writing today or in the past.

In education, AI literacy must comprise both a hands-on learning experience and a theoretical perspective.

Generative AI and higher education

Since its launch, OpenAI’s ChatGPT and its subsequent versions and competitors have generated an increasing interest in Artificial Intelligence in the population as a whole. In fact, Generative AI has become the most relevant contribution to the acceleration of AI mainstream adoption. What most people don’t understand is that not all the artificial intelligence is generative. But I that is something for another time.

For now, let me say that most people don’t understand what artificial intelligence is and much less the risks it poses if misused. This brings me back to AI literacy. To know if you are misusing a technology you must learn and become literate in that technology. Otherwise, you risk misusing it even without knowing you are misusing it. This is dangerous, as you most likely agree.

As we embark and utilise AI-based technologies and Generative AI such as ChatGPT more frequently and realise also about their ethical issues, both students and faculty must have certain knowledge and skills about AI in order to face the challenges.

Moving from digital literacy to AI literacy

In the educational sector, there is an imminent shift from digital literacy to AI literacy. The fundamental question of what makes a human AI literate is currently in a state of evolution. Yet, AI literacy is something that every student must be exposed to, and I would say, every student from a very young age, indeed.

AI literacy does not belong only and exclusively to those who are on a computer science path but must include everyone. In the same way, AI literacy must be included in every level of education, way before college, from elementary school where students can learn the basics, pretty much like we learned the alphabet at some point. Many of them already interact with a form of AI in their phones and home appliances, after all.

AI literacy: A fundamental pillar in education

Those who will remain AI illiterate in the future, will have less opportunities. AI must be incorporated into every course and curriculum in order to reflect the AI era we live in, to have a better understanding of the world around us, and to be aware of its impact on everyday life.

Future professionals, even those who are not computer scientists, mathematicians, or AI engineers will have to interact with these new technologies on a daily basis. They have to do it today already.

What it means to be AI literate

AI literate is someone who possesses the ability to understand, use, monitor, and critically reflect on AI applications without necessarily being able to develop AI models themselves.

A frequently cited definition of AI literacy was developed by Long and Magerko (2020), who define it as:

“A set of competencies that enables individuals to critically evaluate AI technologies, communicate, and collaborate effectively with AI, and use AI as a tool online, at home, and in the workplace.”

Governments are supporting AI literacy with free educational programs

Some governments have officially recognised the need for AI literacy programs; a few free government-supported programs in collaboration with universities are currently available, including:

Elements of AI

Elements of AI from Finland, created by MinnaLearn and the University of Helsinki (available in English and many other languages), aims to strengthen AI literacy for global non-experts. It is available to anyone in the world. For English language choose “Global” from the drop-down language option.

AI Campus

The AI Campus from Germany, developed by the Humboldt University of Berlin, the FernUniversität in Hagen, the Baden-Wuerttemberg Cooperative State University (DHBW), and other partners (available in English and German). This is a learning platform that specifically addresses the needs of individual sectors such as the use of AI in medicine and healthcare.

Both learning platforms for AI learning are available to everyone free of charge.

I encourage you to have a look at the platforms, what they offer, and start to your journey into becoming AI literate, like your future will depend on it.



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Available Infrastructure Unveils ‘SanQtum’ Secure AI Platform for Critical Infrastructure

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Available Infrastructure (Available) publicly unveiled SanQtum, a first-of-a-kind solution that combines national security-grade cyber protection and the world’s most-trusted enterprise artificial intelligence (AI) capability.


In the modern era, AI-powered, machine-speed decision-making is crucial. Yet a fast-evolving and increasingly sophisticated threat landscape puts operational technology (OT) and cyber-physical systems (CPS), IP and other sensitive data, and proprietary trained AI models at risk. SanQtum is a direct response to that need.


Created through a rigorous development process in collaboration with major enterprise tech partners and government agencies, SanQtum pre-integrates a best-in-breed tech stack in a micro edge data center form factor, ready for deployment anywhere — from near-prem urban sites to telecom towers to austere environments. A first cohort of initial sites is already under construction in Northern Virginia and expected to come online later this year.


SanQtum’s cybersecurity protections include zero trust permissions architecture, quantum-resilient data encryption, and are aligned to DHS, CISA, and other US federal cybersecurity standards. Sovereign AI models with ultra-low-latency computing enable secure decision-making at machine speed when milliseconds matter, wrapped in cyber protections to prevent data theft and AI model poisoning.


The need for more sophisticated cybersecurity solutions is widespread and growing by the day. Globally, the cost of cybercrimes to corporations is forecasted to nearly triple, from $8 trillion in 2023 to $23 trillion by 2027. For government agencies and critical infrastructure, cybersecurity is literally a matter of life and death.


Daniel Gregory, CEO of Available


AI is now seemingly everywhere. So are cyber threats, from nation-state attacks to criminal enterprises. In this environment, decision-making without AI — and AI without cybersecurity protections — are no longer negotiable; they’re mandatory. As we head into the July 4th weekend, which has historically seen a surge in cyber attacks each year, security is top-of-mind for many Americans, businesses, and government agencies. We live in a digital world. And AI is now seemingly everywhere. So are cyber threats, from nation-state attacks to criminal enterprises. In this environment, decision-making without AI — and AI without cybersecurity protections — are no longer negotiable; they’re mandatory.



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Fujitsu’s high-precision skeleton recognition AI adopted to enhance figure skating athlete training — TradingView News

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KAWASAKI, Japan, July 5, 2025 – (JCN Newswire) – Fujitsu Limited today announced that its high-precision skeleton recognition AI technology, which enables the digitization of three-dimensional human movements, has been adopted for use by the Japan Skating Federation. The technology will be used to analyze and enhance the training of figure skating athletes at a training camp to be held at the National Training Center, located at Kansai Airport Ice Arena, from July 3 – 5.

Conventional motion capture technology is impractical for training purposes due to the time-consuming setup, slow result output, and limitations in the number of performances that can be analyzed. Furthermore, markerless motion capture technology, which relies on general video footage for analysis in figure skating, faces challenges in accurately analyzing complex movements such as jumps and spins due to posture deviations and misrecognition. The Japan Skating Federation chose Fujitsu’s skeleton recognition AI technology, developed since 2016 in the fast-paced and complex field of gymnastics, because of its high precision and its ability to reflect analysis results in real-time.

Other features

– Technology based on the world’s first and only internationally-recognized AI gymnastics scoring system

– Proprietary correction algorithms significantly reduce jitter (estimation error) in posture recognition, previously a challenge in image analysis using deep learning

– Photorealistic technology generates large amounts of training data, shortening the learning period significantly. Processes that traditionally required months of manual work can now be automated and completed within a matter of hours.

Future Plans

Fujitsu aims to expand use of its high-precision skeleton recognition AI technology beyond the sports industry into areas such as workload analysis in manufacturing, early disease detection in healthcare, and the utilization of analytical data in the entertainment sector.

Under Fujitsu Uvance, Fujitsu’s cross-industry business model to address societal issues, Fujitsu will continue to advance people’s well-being in society through the use of data and AI, in collaboration with Uvance partners.

Morinari Watanabe, President, International Gymnastics Federation and Member of the International Olympic Committee, comments:

“The IOC announced the Olympic AI Agenda in 2024, recommending the use of cutting-edge technologies, including AI, to enhance scoring fairness and competitive strength. I am very pleased that training based on ice movement analysis, which was previously considered impossible, has been realized. I hope this initiative will lead to the improvement of competitive strength and the further development of the skating world.”

Yohsuke Takeuchi, Director/Chair of High Performance Figure Skating, Japan Skating Federation, comments:

“The Japan Skating Federation carries out analysis of athletes’ jump performance. Marker-based 3D analysis equipment presents significant challenges, including the inability to analyze during trials and the significant time required for analysis, which delays feedback to athletes. We expect that Fujitsu’s high-precision skeleton recognition AI technology and its rapid output of results will solve these problems and contribute to the swift improvement of athletes’ competitive performance. The Japan Skating Federation will further expand the application of this technology and consider its use for motion analysis during competitions as part of its ongoing efforts to utilize cutting-edge technology to improve athletic performance and enhance fan engagement.”

About Fujitsu

Fujitsu’s purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers around the globe, our 113,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: AI, Computing, Networks, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$23 billion) for the fiscal year ended March 31, 2025 and remains the top digital services company in Japan by market share. Find out more: global.fujitsu.

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Source: Fujitsu Ltd

Copyright 2025 JCN Newswire . All rights reserved.



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TwentyOneVC Launches Proprietary AI Trading Program, Expanding Access to Institutional-Grade Technology

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London, UK – TwentyOneVC, a growing force in the digital investment space, has officially launched its proprietary AI trading program, offering a new level of strategy and speed to its community of investors. The platform-exclusive technology introduces advanced automation and precision once reserved for institutional firms, now made accessible through the company’s private investment environment.

Designed exclusively for users of TwentyOneVC, the AI program represents a notable step forward in how algorithmic trading is deployed in both crypto and traditional markets. While mainstream algorithmic tools and generic AI trading bots have grown in popularity, particularly in the digital asset space, the firm’s proprietary system aims to offer a distinct advantage, both in accuracy and market adaptability.

The technology’s foundation lies in a multi-year development effort focused on replicating the analytical depth and strategic sophistication typically available only to private equity firms. Until now, such tools were inaccessible to individual investors or even small funds due to cost, complexity, and data limitations. By removing these barriers, TwentyOneVC intends to bring an enhanced parity to the investment world, without compromising the control and oversight that experienced traders expect.

“Over the past decade, there has been a growing divide between the technology available to institutional players and what individual investors can use,” said a spokesperson at TwentyOneVC. “Our goal was to close that gap, not by offering recycled tools, but by building a proprietary system from the ground up, something designed to respond in real time, digest large data streams, and execute with measurable efficiency.”

The firm’s AI engine integrates with a range of trading strategies across digital and traditional asset classes. It analyzes market sentiment, historical patterns, macroeconomic data, and micro-movements across global exchanges. The result is a constantly evolving framework that assists users in identifying patterns and risk factors that might otherwise go undetected.

Unlike some off-the-shelf AI bots that follow rigid templates or react purely to short-term volatility, TwentyOneVC’s program is designed for deeper situational awareness. The system is not sold or distributed externally and remains an in-house technology exclusive to verified TwentyOneVC clients. According to internal sources, early testing has indicated promising consistency in execution timing and exposure control, though the company emphasizes that the tool is meant to complement, not replace, user decision-making.

In parallel with the AI release, TwentyOneVC has also improved one of the most practical aspects of client experience: fund withdrawals. By integrating blockchain infrastructure into its backend, the company now supports rapid withdrawals for clients in Canada and Australia, allowing funds to be moved quickly from trading accounts to local banks. This development bypasses the traditional 2-3 business day delays still common across many investment platforms.

The withdrawal system combines cryptocurrency rails with local banking integrations, streamlining the movement of funds without requiring technical knowledge from users. For investors in fast-paced markets, the ability to respond quickly to liquidity needs can make a critical difference.

TwentyOneVC’s latest offerings reflect a broader trend in the investment industry, one where accessibility, automation, and transparency are no longer luxuries, but expectations. By offering tools that were once out of reach for all but the most well-funded institutions, the company positions itself at the intersection of innovation and usability.

Looking ahead, TwentyOneVC plans to continue refining its AI technology and expand its instant withdrawal capabilities into additional markets. As financial tools evolve, the company’s focus remains fixed on building infrastructure that supports strategic, empowered, and timely investment decisions.

About TwentyOneVC

TwentyOneVC is a private investment platform offering access to a range of asset classes and technology-driven tools for modern investors. With a focus on innovation, transparency, and execution speed, the company blends institutional-grade infrastructure with a client-first approach. For more information, visit www.twentyonevc.com.

Website: www.twentyonevc.com

Investing involves risk and your investment may lose value. Past performance gives no indication of future results. These statements do not constitute and cannot replace investment advice.



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