Google’s new Gemini 2.0 Flash model has surprised developers with an unexpected capability: it effortlessly removes watermarks from images, raising significant copyright concerns. On 17 March 2025, multiple social media users discovered that Google’s experimental AI model not only removes watermarks—including those from Getty Images and
Microsoft is developing in-house artificial intelligence models, including the 500 billion parameter MAI-1, to reduce its dependence on OpenAI. The company is working on AI reasoning systems that could potentially be made available to external developers as an API in the future. This strategic move is a key part of
On 13 March 2025, OpenAI submitted a comprehensive proposal package to the White House Office of Science and Technology Policy (OSTP) for the United States’ forthcoming Artificial Intelligence Action Plan. The company’s document clearly advocates for maintaining U.S. AI dominance, while emphasising that Chinese advancements, particularly the emergence
The European Parliament and Council adopted Regulation (EU) 2025/327 on the European Health Data Space (EHDS) on 11 February 2025, which was subsequently published in the Official Journal of the European Union on 5 March 2025. This regulation transforms the use of health data across the EU, establishing the
Google unveiled the Gemini 2.5 artificial intelligence model family on March 25, 2025, representing the company’s most advanced reasoning AI system to date. The first released version, Gemini 2.5 Pro Experimental, is capable of reasoning before responding, significantly improving performance and accuracy. The model is already available
The rapid integration of Artificial Intelligence (AI) into global economies has driven transformative advancements in sectors such as healthcare and agriculture. However, this technological revolution incurs significant environmental costs, particularly through substantial energy consumption and greenhouse gas (GHG) emissions. The carbon footprint of AI, stemming from energy-intensive processes like hardware
Amazon Web Services (AWS) announced the Ocelot quantum computing chip on February 27, 2025, which could reduce the cost of quantum error correction by up to 90% compared to current approaches. Developed by the AWS Center for Quantum Computing at the California Institute of Technology, the chip represents a significant
EuroBERT, the newly developed multilingual encoder model family, marks a significant advancement in modern language technology. It enables more efficient processing of 15 European and global languages, handling sequences of up to 8,192 tokens. Officially introduced on 10 March 2025, the EuroBERT family was trained on a dataset of
On 4 March 2025, OpenAI launched the NextGenAI consortium, partnering with 15 leading research institutions to accelerate the educational and research use of artificial intelligence. The company is investing $50 million in research grants, computational resources, and API access to support researchers, educators, and students. Through this initiative, OpenAI’s
On 27 February 2025, Chinese tech giant Tencent unveiled its latest “fast-thinking” artificial intelligence model, the Hunyuan Turbo S. Compared to the DeepSeek R1 model, it boasts a 44% reduction in response time and twice the word generation speed. The new model adopts an innovative Hybrid-Mamba-Transformer architecture, which significantly reduces
The Court of Justice of the European Union's ruling of 27 February 2025 in case C-203/22 declared that data subjects are entitled to receive an understandable explanation about the logic behind automated credit assessment decisions. The case originated from a dispute between CK and Dun & Bradstreet
Contemporary researchers face unprecedented financial barriers when engaging with state-of-the-art language models, particularly through API-based services where costs are directly proportional to token consumption and computational resource utilisation. The challenge is compounded by increasing complexity of research tasks requiring extensive prompt engineering, iterative model interactions, and large-scale data processing operations.
