AI is evolving rapidly, and software engineers no longer need to memorize syntax. However, thinking like an architect and understanding the technology that enables systems to run securely at scale is becoming increasingly valuable. I also want to reflect on being in my role a year now as an AI Solutions Engineer at Cisco. I …
Image by Author # How Colab Works Google Colab is an incredibly powerful tool for data science, machine learning, and Python development. This is because it removes the headache of local setup. However, one area that often confuses beginners and sometimes even intermediate users is file management. Where do files live? Why do they disappear? …
What’s next Since releasing Gemini 3 Pro in November, your feedback and the pace of progress have driven these rapid improvements. We are releasing 3.1 Pro in preview today to validate these updates and continue to make further advancements in areas such as ambitious agentic workflows before we make it generally available soon. Starting today, …
chain is a goal-oriented network of processes and stock points that delivers finished goods to stores. Imagine a luxury fashion retailer with a central distribution chain that delivers to stores worldwide (the USA, Asia-Pacific, and EMEA) from a warehouse located in France. Distribution Chain of a Fashion Retailer from a system point of view – (Image by Samir Saci) …
Image by Author # (Re-)Introducing Hugging Face By the end of this tutorial, you will learn and understand the importance of Hugging Face in modern machine learning, explore its ecosystem, and set up your local development environment to start your practical journey of learning machine learning. You will also learn how Hugging Face is free …
Collaborating with experts on 18 research problems, an advanced version of Gemini Deep Think helped resolve long-standing bottlenecks across algorithms, ML and combinatorial optimization, information theory, and economics. Highlights from our “Accelerating Research with Gemini” paper include (corresponding section numbers in paper): Crossing mathematical borders for network puzzles: Progress on classic computer science problems like …
Redefining the Future of Scientific Research — Google DeepMind Read More »
of the new things I’ve come across recently, while researching command-line-based coding assistants, is the mention and use of a tool I hadn’t heard of before. That tool is called Tmux, which stands for Terminal Multiplexer. In the simplest possible terms, Tmux allows you to split up a single terminal window into a number of …
A beginner’s guide to Tmux: a multitasking superpower for your terminal Read More »
Image by Editor # Introduction Vertex AI Search, formerly known as Enterprise Search on Google Cloud, represents a significant evolution in how organizations can implement intelligent search capabilities within their applications. This powerful tool combines traditional search functionality with advanced machine learning capabilities to deliver semantic understanding and natural language processing (NLP). For data scientists …
Building Vertex AI Search Applications: A Comprehensive Guide Read More »
Today, we’re releasing a major upgrade to Gemini 3 Deep Think, our specialized reasoning mode, built to push the frontier of intelligence and solve modern challenges across science, research, and engineering. We updated Gemini 3 Deep Think in close partnership with scientists and researchers to tackle tough research challenges — where problems often lack clear …
I with countless organizations that are surrounded by more data than they know what to do with. Metrics flood in from every direction, from website traffic numbers to ad impressions and conversion rates. Yet somehow, the decisions still feel like guesswork. The problem is not lack of data; it is that data alone does not …
How to Leverage Explainable AI for Better Business Decisions Read More »
