How Deep Think works: extending Gemini’s parallel “thinking time” Just as people tackle complex problems by taking the time to explore different angles, weigh potential solutions, and refine a final answer, Deep Think pushes the frontier of thinking capabilities by using parallel thinking techniques. This approach lets Gemini generate many ideas at once and consider …
in a sentence provide a lot of information, such as what they mean in the real world, how they connect to other words, how they change the meaning of other words, and sometimes their true meaning can be ambiguous, and can even confuse humans! Image via Unsplash All of this must be figured out to …
Sponsored Content Web data has become a key resource for businesses, whether you’re running a startup or working at a Fortune 500 company. With the market projected to grow at a 13.2% CAGR through 2036, more companies are turning to web scraping solutions to collect and analyze data efficiently. In this blog post, …
Science Published 30 July 2025 Authors The AlphaEarth Foundations team New AI model integrates petabytes of Earth observation data to generate a unified data representation that revolutionizes global mapping and monitoring Every day, satellites capture information-rich images and measurements, providing scientists and experts with a nearly real-time view of our planet. While this data has …
AlphaEarth Foundations helps map our planet in unprecedented detail Read More »
post examines the skills required to work effectively with AI, mainly focusing on consumers of AI systems. In the text below, I will dissect the AI skills for the Business Competency Framework developed by The Alan Turing Institute, demonstrate how the framework’s foundation is rooted in timeless skills, and recommend areas for upskilling among non-technical individuals. My impression …
Image by Author | Canva Contents# Introduction# Technical Skills# Soft Skills# Industry-Specific Skills# Wrapping Up # Introduction I understand that with the pace at which data science is growing, it’s getting harder for data scientists to keep up with all the new technologies, demands, and trends. If you think that knowing Python and machine learning will get the job done …
Today, we’re releasing the stable version of Gemini 2.5 Flash-Lite, our fastest and lowest cost ($0.10 input per 1M, $0.40 output per 1M) model in the Gemini 2.5 model family. We built 2.5 Flash-Lite to push the frontier of intelligence per dollar, with native reasoning capabilities that can be optionally toggled on for more demanding …
Gemini 2.5 Flash-Lite is now stable and generally available Read More »
refers to the careful design and optimization of inputs (e.g., queries or instructions) for guiding the behavior and responses of generative AI models. Prompts are typically structured using either the declarative or imperative paradigm, or a mixture of both. The choice of paradigm can have a big impact on the accuracy and relevance of the …
Declarative and Imperative Prompt Engineering for Generative AI Read More »
Image by Editor | ChatGPT Contents# Introduction# Preparation# Machine Learning Pipeline with Google Cloud Platform# Conclusion # Introduction Machine learning has become an integral part of many companies, and businesses that don’t utilize it risk being left behind. Given how critical models are in providing a competitive advantage, it’s natural that many companies want to integrate them into their …
Setting Up a Machine Learning Pipeline on Google Cloud Platform Read More »
Research Published 23 July 2025 Authors The Aeneas team Introducing the first model for contextualizing ancient inscriptions, designed to help historians better interpret, attribute and restore fragmentary texts. Writing was everywhere in the Roman world — etched onto everything from imperial monuments to everyday objects. From political graffiti, love poems and epitaphs to business transactions, …
Aeneas transforms how historians connect the past Read More »
