Author: Mikolaj Laszkiewicz

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An experienced journalist and editor passionate about new technologies, computers, and scientific discoveries. He strives to bring a unique perspective to every topic. A law graduate.

China is exploring the creation of a national mergers and acquisitions (M&A) fund to support the development of key technologies — from robotics to artificial intelligence — as competition with the United States for technological leadership intensifies. The idea was announced by Wang Changlin, Vice Chairman of the National Development and Reform Commission (NDRC), during a press briefing, although no detailed parameters have yet been disclosed.

An analysis of the memory market indicates that in 2026 data centers — especially those powering artificial intelligence and large-scale computing platforms — could absorb as much as 70% of global production of DRAM and related memory chips. This raises the risk of serious shortages of this critical component across other technology sectors and consumer markets.

The Anthropic Economic Index indicates that the pace and nature of artificial intelligence adoption still differ markedly between countries, potentially widening existing economic and social inequalities worldwide. The data show that, despite the rapid development and spread of AI tools, their use in the workplace is strongly correlated with income levels and employment structures in individual countries, reinforcing the advantage of wealthier economies over less affluent ones.

From 12 January 2026, EU member states are required to harmonise the monitoring of per- and polyfluoroalkyl substances (PFAS) in drinking water, implementing new provisions of the revised EU Drinking Water Directive. This marks the first time that systematic testing of these compounds has been mandated across the entire EU, with the aim of better protecting public health from contamination by highly persistent chemicals.

The biggest barrier to deploying artificial intelligence tools in the UK’s NHS stems from problems integrating them with electronic patient record (EPR/EHR) systems, according to a new report by the Royal College of Physicians (RCP). The survey of 541 RCP members shows that a lack of interoperability between EPR systems is the key factor preventing clinicians from using AI effectively in everyday practice.