March 2026

Skin diseases are a major public health concern worldwide, and their detection is often challenging without access to dermatological expertise. In countries like Bangladesh, which is highly populated, the number of qualified skin specialists and diagnostic instruments is insufficient to meet the demand. Due to the lack of proper detection and treatment of skin diseases, that may lead to severe health consequences including death. Common properties of skin diseases are, changing the color, texture, and pattern of skin […]

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Unless otherwise noted, all figures in this report are taken from official financial reports. The global personal luxury goods market is at an inflection point. After a decade of almost uninterrupted expansion, interrupted only briefly by COVID, the industry saw its first meaningful contraction in 15 years in 2024–2025, with the market stabilising at around €358 billion in 2025 (flat to -2% year-on-year). Approximately 50 million luxury consumers have exited the market since 2022, effectively wiping out the […]

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The landscape of extremely low-resource machine translation (MT) is characterized by perplexing variability in reported performance, often making results across different language pairs difficult to contextualize. For researchers focused on specific language groups — such as ancient languages — it is nearly impossible to determine if breakthroughs reported in other contexts (e.g., native African or American languages) result from superior methodologies or are merely artifacts of benchmark collection. To address this problem, we introduce the FRED Difficulty Metrics, […]

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Robust Support Vector Machines (R-SVMs) address feature noise by adopting a worst-case robust formulation that explicitly incorporates uncertainty sets into training. While this robustness improves reliability, it also leads to increased computational cost. In this work, we develop safe sample screening rules for R-SVMs that reduce the training complexity without affecting the optimal solution. To the best of our knowledge, this is the first study to apply safe screening techniques to worst-case robust models in supervised machine learning. […]

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RPA (robotic process automation) is a practical and proven way to reduce manual work in business processes without AI systems. By using software bots to follow fixed rules, companies can automate repetitive tasks like data entry and invoice processing, and to a certain extent, report generation. Adoption grew quickly in many sectors, especially in finance, operations, and customer support. In recent years the technology has matured. While RPA is still used, business processes can become more complex. Many […]

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Engineering orgs still assume they must choose: move fast and risk defects, or slow down to ensure software quality. Modern reality breaks this binary. AI-generation tools multiply code output, microservices create complexity, and distributed teams increase context gaps across growing codebases. What once worked for small teams no longer holds as systems and organizations scale. As Maria Vinokurskaya, Founding Engineer (AI) at PlayerZero, puts it: “When you’re early, you ship something as fast as you can, see how […]

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As engineers, we’re taught to design for reliability. We do design calculations, run simulations, build and test prototypes, and even then we recognize that these are imperfect, so we include safety factors. When it comes to the Industrial Internet of Things (IIoT) though, we rarely give the same level of scrutiny to the components that we rely on. What if we treated our IIoT database the same way we treated the physical things we produce? We build and […]

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Reinforcement learning (RL), owing to its adaptability to various dynamic systems in many real-world scenarios and the capability of maximizing long-term outcomes under different constraints, has been used in infectious disease control to optimize the intervention strategies for controlling infectious disease spread and responding to outbreaks in recent years. The potential of RL for assisting public health sectors in preventing and controlling infectious diseases is gradually emerging and being explored by rapidly increasing publications relevant to COVID-19 and […]

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Every day, media use is growing at an unimaginable rate and generating huge amounts of data. Facebook generates nearly 5 petabytes of data per day; Netflix, around 2 petabytes per week; and Google, about 20 petabytes every day. Business decisions depend on analytics, and analytics requires processed data every single day. So how do we process all this data? Traditional ETL tools can’t keep up when data volumes reach terabytes—and they’re too slow. That’s why the data world […]

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