academia
academia on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on academia in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around academia, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Public health academia to industry
Transitioning from public health academia to industry data science requires a strategic approach. Your experience with biostatistics, machine learning, and causal inference – particularly publications in journals like *JAMA Open* – establishes a strong foundation. While SQL proficiency and test-style probability questions are valuable, prioritize demonstrating practical application. Focus on building a portfolio showcasing data manipulation, model deployment, and impactful insights. Consider exploring resources like "A Marc Benioff-backed startup thinks AI can solve the AI deployment problem" for perspectives on current industry challenges and solutions.
Are single GPU research still published in ML/DL and its applications nowadays? Which are the most notable recent ones? [D]
Despite the proliferation of massive compute resources in AI research, impactful work continues to emerge from smaller labs and independent researchers utilizing single GPUs. While frontier labs dominate headlines, innovative solutions, like Alexander Goslin’s InfiniteDiffusion (RTX 3090), demonstrate that quality research isn't solely dependent on scale. These projects often prioritize algorithmic ingenuity over sheer computational power. As explored in "How to pick an AI model in 2026," understanding resource constraints is increasingly crucial for navigating the evolving AI landscape and fostering accessible innovation.
Asking about how to collaborate with professors or research labs [D]
Navigating research opportunities outside of academia while maintaining a full-time job is certainly achievable. It requires a targeted approach. Begin by identifying professors or labs whose work aligns with your interests—university websites and publications are excellent resources. A concise, personalized email outlining your experience and research goals is key. Be upfront about your availability. Finally, for those seeking collaboration, direct messaging is a viable option to explore potential projects. As Google recently demonstrated with the surprise release of Gemini 3.