Artificial Intelligence (AI) tools have recently seen significant development in several vital areas. Google launched powerful updates to NotebookLM as part of the Google AI suite, to include mobile apps and automatic video summaries from within documents, enhancing the experience for students and creators. In education, an NSF-funded training program was announced at Northeastern University to equip teachers to use AI effectively in the classroom. In the medical field, ShortStop is able to detect microproteins within the human genome, advancing cancer research, as well as a tool developed by the University of California to accurately analyze medical images with limited data.
In the coding world, corporate adoption of AI coding tools rose from 50% to 82% in five months, with tools like GitHub Copilot Reviewer, CodeRabbit, and Graphite entering the market, although full adoption is still in beta. Despite this growth, 46% of developers don't trust the accuracy of these tools, and 45% find themselves having to manually correct their results. New tools such as Grok, Claude, Gemini, and Perplexity were listed by an economic report as the most important tools for 2025, while Google DeepMind's Veo 3 was recognized as the best tool for generating 4K cinematic video with stunningly realistic effects.
AI applications extend to environmental monitoring via Google Earth Engine, which helps track climate change and ecosystems in real time. Researchers at NJIT are also working on AI tools to discover alternative battery materials such as magnesium, paving the way for a revolution in sustainable energy.