Abstract Security, the pioneer in streaming detection and response, today unveiled its groundbreaking Shift Left strategy for security operations—bringing real-time analytics, correlation, and ...

Yan, H.J. and Jin, C. (2025) The Evolution of Library and Information Science in China under the Big Data Paradigm —An Empirical Study Based on Chinese Core Literature. Open Journal of Social Sciences ...

Data visualizations are some of the most powerful tools in a climate science communicator’s playbook. The most famous have ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Quantum infrastructure software is redefining quantum computing by automating calibration, optimizing workloads, and letting users program at the problem level ...

Artificial intelligence has transformed how scholars write, think, and share knowledge. In late 2022, OpenAI released ChatGPT, quickly followed by Google’s Bard, now known as Gemini. Within months, ...

AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...

Recent headlines predict a future of mind-reading machines, but the real breakthrough is about technology that understands ...

Conference speakers used traditional and contemporary methods to explore Exodus, including 21st century tools such as ...

Using prompt injections to play a Jedi mind trick on LLMs A handful of international computer science researchers appear to be trying to influence AI reviews with a new class of prompt injection ...

Ali Shiri discusses how large language models are impacting research for academics and university stakeholders.

While contemporary AI achieves impressive feats, crafting human-like prose, recognizing complex patterns and mastering games, it obscures a fundamental limitation.