My wife and I like to travel to other countries, but we always face a familiar obstacle -- how to learn the language well enough to converse with people. We've tried taking language lessons, yet we invariably run into situations where we can't find the right words to express ourselves. Now, Google has launched a trio of translation tools that could help overcome this obstacle. Also: Want a quick daily podcast based on your interests? Try Google's latest AI experiment Launched on Tuesday as Google Labs experiments, the "Little Language Lessons" are designed to assist you in specific situations, especially when you're traveling in a foreign country.

The emergence of AI has many people wondering what's next for organizations and their workforces. One thing is clear: things are changing. To help business leaders and professionals navigate the fast-evolving workplace, Workera has released its 2025 State of Skills Intelligence Report. The research surveyed 800 learning and development (L&D) leaders and 800 full-time professionals to get their perspectives on how they approach workforce transformation. Also: 5 ways to turn AI's time-saving magic into your productivity superpower However, there's a disconnect between how business leaders and employees view AI and the best ways to upskill. "The majority of the issues we're going to run into in the coming years are people issues, not technology issues," said Kian Katanforoosh, founder and CEO of Workera.

AI for education is a new but rapidly expanding field. Can it support student outcomes and help teachers avoid burnout? On Wednesday, AI education company Kira launched a "fully AI-native learning platform" for K-12 education, complete with agents to assist teachers with repetitive tasks. The platform hosts assignments, analyzes progress data, offers administrative assistance, helps build lesson plans and quizzes, and more. Also: Google's One AI Premium plan with Gemini Advanced is now free for students - for an entire year "Unlike traditional tools that merely layer AI onto existing platforms, Kira integrates artificial intelligence directly into every educational workflow -- from lesson planning and instruction to grading, intervention, and reporting," the release explains.

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But AI is a tool; like any tool, it is only as good as the person wielding it. Now's the time to get the upper hand on AI and learn how to use tools like ChatGPT and automation platforms to work for you. The ChatGPT & Automation E-Degree from Eduonix Learning Solutions gives you the knowledge to stay on top for just 29.99 (MSRP 790) The course includes 12 modules and 25 hours of content you can move through at your own pace, and they never expire. You'll learn how to automate workflows, streamline repetitive tasks, and get AI to handle the boring stuff while you take credit for the results. It also dives into prompt engineering, real-world use cases, and customizing ChatGPT to fit your job, industry, or hustle.

Archetypal analysis (AA) was originally proposed in 1994 by Adele Cutler and Leo Breiman as a computational procedure to extract the distinct aspects called archetypes in observations with each observational record approximated as a mixture (i.e., convex combination) of these archetypes. AA thereby provides straightforward, interpretable, and explainable representations for feature extraction and dimensionality reduction, facilitating the understanding of the structure of high-dimensional data with wide applications throughout the sciences. However, AA also faces challenges, particularly as the associated optimization problem is non-convex. This survey provides researchers and data mining practitioners an overview of methodologies and opportunities that AA has to offer surveying the many applications of AA across disparate fields of science, as well as best practices for modeling data using AA and limitations. The survey concludes by explaining important future research directions concerning AA.

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For better or worse, AI tools have steadily become a reality of the academic landscape since ChatGPT launched in late 2022. Anthropic is studying what that looks like in real time. On Tuesday, shortly after launching Claude for Education, the company released data on which tasks university students use its AI chatbot Claude for and which majors use it the most. Using Clio, the company's data analysis tool, to maintain user privacy, Anthropic analyzed 574,740 anonymized conversations between Claude and users at the Free and Pro tiers with higher education email addresses. All conversations appeared to relate to coursework.

In this series of articles, we're publishing summaries with some of the key takeaways from a few of workshops held at the 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025). The first ever workshop on "Open Source AI for Mainstream Use" was held on March 4, 2025 at the Pennsylvania Convention Center in Philadelphia. The goal of this workshop was to bring the researchers and practitioners into a single forum to discuss topics at the intersection of AI and open source and demonstrate relevant technology. Overall, the participants appreciated the interdisciplinary nature of this workshop and are looking forward to repeating it next year. This first edition of the FLUID workshop focused on the emerging challenges and opportunities in federated learning and intelligent decentralization, bringing together a growing international community of researchers working across optimization, privacy, scalability, and practical deployment of decentralized learning systems.