ARTIFICIAL BOUNDARY. AI can work across disciplines | Photo Credit: Khanchit Khirisutchalual Over a hundred researchers from across the globe gathered in Seville, Spain, this March for the ‘Science Across Boundaries’ symposium to honour Subra Suresh, a scientist who exemplifies the spirit of interdisciplinarity. There, artificial intelligence (AI) was not merely one topic among many…
What are the best R programming projects for beginners? Beginners can start with simple projects like Exploratory Data Analysis (EDA), basic data visualization, and small datasets. These projects help in understanding data manipulation, plotting graphs, and applying statistical concepts, which form the foundation of advanced R programming skills. Why is R important for data science…
The way people consume news is changing fast. Legacy outlets are cutting newsrooms, locking essential reporting behind paywalls, and …
Key Takeaways Focusing solely on financial metrics can obscure deeper issues within a business. Successful investing combines scientific valuation with artistic judgment. Evaluating AI companies requires understanding the transient nature of technology versus the enduring nature of revenue. The time to value and durability of value are critical for AI company success. Coding tools in…
As generative AI becomes part of how we conduct social science, we have to revisit the foundations of our methods. The symposium created space for interdisciplinary dialogue about what rigorous and replicable AI-driven research might look like. Darren GergleCodirector of the Center for Human-Computer Interaction + Design, Bao Family Professor in Human-Computer Interaction at Northwestern’s…
1. What are data science tools? These platforms can gather, analyze, and visualize data to deliver business insights. 2. Why do startups need AI analytics? AI analytics is a valuable tool for predicting trends, automating reporting, and making better decisions. 3. Are data science tools expensive for startups? Some of them provide flexible pricing and…
1. Why are projects more important than certifications in data science?Projects demonstrate applied skills, problem-solving, and business thinking beyond theoretical knowledge alone. 2. What makes a data science portfolio stand out to recruiters?Clear documentation, measurable outcomes, clean code, and visible business impact strengthen credibility. 3. How many projects should a strong data science resume include?Three…
Classified in: Science and technologySubject: CFG In the news release, “Canada and Germany sign AI joint declaration and launch Sovereign Technology Alliance”, issued Feb. 14, 2026 by Innovation, Science and Economic Development Canada over CNW, we are advised by the client that changes have been made. The complete, updated release follows, with additional details at…
1. Is a degree required to start a data science career? A formal degree is not mandatory. Many professionals build strong skills through online courses, practice projects, and consistent learning, which employers increasingly value. 2. Which programming language is best for beginners in data science? Python is widely recommended because it is beginner-friendly, has powerful…
In recent months, some of the major players in science fiction and popular culture have been taking firmer stances against generative AI. Separate decisions by San Diego Comic-Con and the Science Fiction and Fantasy Writers Association (SFWA) illustrate the depth of AI opposition within some creative communities — though they’re certainly not the only ones,…
