Access Innovations Science Officer Joins NISO Panel
Join Access Innovations Chief Science Officer Marjorie Hlava on Monday, February 16 at the NISO Plus 2026 conference as she and other experts explore “Keeping the Robots in Line: Provisioning Access to Content for AI Systems.” Hlava and Tony Alves, Todd A. Carpenter, Jessica Miles, PhD and Matteo Ripamonti will discuss why and how publishers, repositories,…
Read MoreHow Machine Learning Is Shaping Travel and Transportation
Machine learning is playing a growing role in how travel and transportation systems function, helping organizations operate more efficiently while improving safety and customer experience. By working with large volumes of real-time and historical data, machine learning systems can spot patterns, anticipate problems and adjust operations as conditions change. This interesting information came to us…
Read MoreOpen Science and AI
Artificial intelligence (AI) is transforming everything from medicine to media and the movement towards open science is more critical and complex than ever. Open science is all about making research transparent, accessible and reproducible so that scientific discoveries benefit everyone. But when it comes to AI research, the stakes are higher and the challenges are…
Read MoreWhen AI Turns Into Slop
Artificial intelligence (AI) is everywhere, and that is both impressive and a little messy. Used thoughtfully, AI can accelerate research, sharpen insights and free people to focus on higher value work. Used carelessly, it produces what many are now calling “AI slop,” content and outputs that are technically correct, vaguely polished and fundamentally hollow. EuroNews…
Read MoreArtificial Intelligence as a Tool for Modern Conservation
Artificial intelligence (AI) is increasingly being applied to wildlife conservation, offering new ways to observe ecosystems, protect endangered species and anticipate environmental change. Rather than replacing traditional conservation methods, AI is extending their reach by processing information at a scale that was previously impractical. This interesting and important topic came to us from Phys.org in…
Read MoreThe Bulldozer Known as GenAI
Generative artificial intelligence (GenAI), a subset of artificial intelligence, has ushered in a new era of possibility, enabling machines to produce text, images, code and even synthetic data with remarkable fluency. But behind the dazzling innovation lies a complex and often vulnerable machine learning infrastructure. As GenAI capabilities evolve, so too must the safeguards that…
Read MoreWhen Minds Inspire Machines
The intersection of neuroscience and artificial intelligence (AI) is one of the most dynamic frontiers in modern science. Neuroscience seeks to understand how the brain learns, adapts and makes decisions, while AI attempts to replicate or approximate those processes in machines. As researchers uncover more about neural pathways, synaptic plasticity and pattern recognition, those insights…
Read MoreUsing AI in a Changing Environment
Artificial intelligence (AI) has moved from the realm of speculation into the center of daily life. No longer limited to research labs or technology companies, it has become part of how industries operate and how people experience the world around them. The idea of AI as a futuristic concept has been replaced by its role…
Read MoreGeneration Z, Artificial Intelligence and the Limits of Automation
Artificial intelligence (AI) is increasingly integrated into daily life, and Generation Z (Gen Z) occupies a unique position in this transition. Having grown up with digital platforms, mobile devices and algorithm driven services, this generation encounters AI as a standard component of communication, entertainment and information access rather than a novel technology. This interesting topic…
Read MorePredictive Analytics and Climate Intelligence in Finance and Business
Predictive analytics is becoming an increasingly important tool for finance and business as climate conditions grow more volatile and complex. By combining historical data, real time inputs and advanced statistical modeling, predictive analytics helps organizations anticipate climate related risks and opportunities with greater accuracy. This capability is particularly valuable in a global environment where weather…
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