UpScrolled has surpassed 2.5 million users globally, gaining rapid momentum following TikTok’s restructuring of its US ownership earlier this year, according to founder Issam Hijazi.
The social network grew to around 150,000 users in its first six months before accelerating sharply in January, crossing one million users within weeks and reaching more than 2.5 million shortly afterwards.
Positioned as a hybrid of Instagram and X, UpScrolled promotes itself as an open platform free of shadowbanning and selective content suppression, while criticising major technology firms for data monetisation and algorithm-driven engagement practices.
Hijazi said the company would avoid amplification algorithms but acknowledged the need for community guidelines, particularly amid concerns about explicit content appearing on the platform.
Interest in alternative social networks has increased since TikTok’s shift to US ownership, though analysts note that long-term growth will depend on moderation frameworks, feature development, and sustained community trust.
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Japan and the United Kingdom have formalised a Strategic Cyber Partnership focused on strengthening cooperation in cybersecurity, including information sharing, defensive capabilities, and resilience of critical infrastructure. In related high-level discussions between the two leaders, Japan and the UK also agreed on the need to work with like-minded partners to address vulnerabilities in critical mineral supply chains.
The Strategic Cyber Partnership outlines three core areas of cooperation:
sharing cyber threat intelligence and enhancing cyber capabilities;
supporting whole-of-society resilience through best practices on infrastructure and supply chain protection and alignment on regulatory and standards issues;
collaborating on workforce development and emerging cyber technologies.
The agreement is governed through a joint Cyber Dialogue mechanism and is non-binding in nature.
Separately, at a summit meeting in Tokyo, the leaders noted the importance of strengthening supply chains for minerals identified as critical for modern industry and technology, and agreed to coordinate efforts with other partners on this issue.
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Europe is stepping up efforts to industrialise quantum technologies with a €50 million investment in superconducting quantum devices. Funding from the EU Chips Joint Undertaking and national agencies will support the Supreme consortium’s work from early 2026.
Superconducting quantum systems rely on ultra-low temperatures to maintain qubit stability, making manufacturing processes complex and costly. Supreme aims to develop reliable fabrication methods that can be scaled across Europe.
Access to these technologies will be opened to companies through shared pilot production runs and process design kits. Such tools are intended to lower barriers for firms developing quantum hardware and related systems.
The initiative also responds to Europe’s weaker performance in quantum patents compared with research output. Alignment with the upcoming Quantum Act and the EU Chips Act is expected to strengthen commercial uptake and industrial competitiveness.
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Researchers at Incheon National University have developed biodegradable gas sensors designed to reduce electronic waste while improving air quality monitoring. The technology targets nitrogen dioxide, a pollutant linked to fossil fuel combustion and respiratory diseases.
The sensors are built using organic field-effect transistors, a lightweight and low-energy alternative suited for portable environmental monitoring devices. OFET-based systems are also easier to manufacture compared with traditional silicon electronics.
To create the sensing layer, the research team blended an organic semiconductor polymer, P3HT, with a biodegradable material, PBS. Each polymer was prepared separately in chloroform before being combined into a uniform solution.
Performance varied with solvent composition, with mixtures of chloroform and dichlorobenzene yielding the most consistent and sensitive sensor structures. High PBS concentrations remained effective without compromising detection accuracy.
Project lead Professor Park said the approach balances sustainability and performance, particularly for use in natural environments. The biodegradable design could contribute to long-term pollution monitoring and waste reduction.
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WordPress has released new guidelines to shape how AI is used across plugins, themes, documentation and media assets. The framework focuses on transparency, accountability and maintaining the project’s open source foundations.
Contributors remain fully responsible for AI-assisted work and are expected to disclose meaningful AI use during submissions. Reviewers are encouraged to assess such contributions with awareness of how automated tools influenced the output.
Strong emphasis is placed on licensing, with all AI-generated material required to remain compatible with GPLv2 or later. Tools that restrict redistribution or reproduce incompatible code are explicitly ruled out.
The guidance also targets so-called AI slop, including untested code, fabricated references and unnecessarily complex solutions. Maintainers are authorised to reject low-quality submissions that lack apparent human oversight.
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AI tools are already widely used in higher education, with more than half of surveyed students required to use them in coursework and nearly two-thirds using them for assignments. However, the survey suggests that students are largely learning to use AI on their own, relying mainly on informal experimentation rather than structured university-led training.
At the same time, awareness and participation in formal AI education remain limited. Only 31% of students said they were aware of AI-related courses offered by their college or university, and fewer than 20% had taken one, highlighting a gap between widespread use and institutional teaching.
Despite this, many students recognise AI’s growing importance for their careers. Around half believe proficiency with AI tools will be important in the future, reflecting expectations that AI skills will be increasingly valued in the workplace.
Overall, the findings point to an opportunity for universities to strengthen AI education by integrating practical, advanced, and ethical AI training into curricula, helping students move beyond basic use toward workplace-ready skills.
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Technology firms in China are rolling out large cash incentive campaigns to attract users to their AI chatbots ahead of the expected launch of new AI models later this month.
Alibaba Group has earmarked CNY 3 billion for users of its Qwen AI app, with the promotion beginning on 6 February to coincide with Lunar New Year celebrations.
Tencent Holdings and Baidu have announced similar offers, together committing around CNY 1.5 billion in cash rewards and consumer electronics, including smartphones and televisions.
To qualify for prizes, users must register on the platforms and interact with the chatbots during the promotional period by asking questions or completing everyday planning tasks.
The incentives reflect intensifying competition with global developers such as Google and OpenAI, while also strengthening efforts to position China-based firms as potential local AI partners for Apple in the Chinese market.
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Oracle is expanding AI data centres across the United States while pairing infrastructure growth with workforce development through its philanthropic education programme, Oracle Academy.
The initiative provides schools and educators with curriculum, cloud tools, software, and hands-on training designed to prepare students for enterprise-scale technology roles increasingly linked to AI operations.
As demand for specialised skills rises, Oracle Academy is introducing Data Centre Technician courses to fast-track learners into permanent roles supporting AI infrastructure development and maintenance.
The programme already works with hundreds of institutions across multiple US states, including Texas, Michigan, Wisconsin, and New Mexico, spanning disciplines from computer science and engineering to construction management and supply chain studies.
Alongside new courses in machine learning, generative AI, and analytics, Oracle says the approach is intended to close skills gaps and ensure local communities benefit from the rapid expansion of AI infrastructure.
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About 50 residents of Quilicura, an urban community near Chile’s capital, spent a day answering thousands of questions and creating hand-drawn images through a human-powered chatbot called Quili.AI, designed to demonstrate alternatives to instant AI responses and raise awareness of the hidden environmental toll of AI infrastructure.
Participants responded to more than 25,000 global requests, often taking minutes for answers and sketches that would be instantaneous with commercial AI models.
The project, organised by environmental group Corporación NGEN, emphasised that AI systems, especially data centres that host them, consume large amounts of electricity and water, with Quilicura itself becoming a hub for data centres run by major cloud providers.
Organisers said the human chatbot wasn’t an argument against AI’s value but a way to prompt reflection on responsible and sustainable use, especially in regions facing water scarcity and climate stresses like drought and wildfires.
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At the Summit for Clinical Operations Executives (SCOPE) 2026, major players in life sciences showcased artificial intelligence-enabled systems built to accelerate and optimise oncology clinical trials.
Massive Bio’s TrialRelay uses AI routing (“TrialRouter”) to orchestrate the enrolment process, reducing the risk that patients are lost in the referral pipeline after being matched to a study.
ConcertAI’s Accelerated Clinical Trials (ACT) platform, powered by its proprietary agentic AI, integrates real-world and proprietary datasets with advanced workflows to shorten trial timelines by 10–20 months, improve study design and reduce costly amendments, helping sponsors and contract research organisations (CROs) bring therapies to patients faster.
AI adoption in clinical research is rising across recruitment, trial design, data handling and operational forecasting, though integration challenges, regulatory alignment and rapid technological change remain obstacles.
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