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Experiment with Gemini 2.0 Flash native image generation

OpenAIMarch 22, 20259Views 0Likes 0Comments

In December we first introduced native image output in Gemini 2.0 Flash to trusted testers. Today, we're making it available for developer experimentation across all regions currently supported by Google AI Studio. You can test this new capability using an experimental version of Gemini 2.0 Flash (gemini-2.0-flash-exp) in Google AI Studio and via the Gemini…

Evolving Product Operating Models in the Age of AI

Data ScienceMarch 22, 202510Views 0Likes 0Comments

previous article on organizing for AI (link), we looked at how the interplay between three key dimensions — ownership of outcomes, outsourcing of staff, and the geographical proximity of team members — can yield a variety of organizational archetypes for implementing strategic AI initiatives, each implying a different twist to the product operating model. Now…

This AI Paper Introduces FoundationStereo: A Zero-Shot Stereo Matching Model for Robust Depth Estimation

AI NewsMarch 17, 202513Views 0Likes 0Comments

Stereo depth estimation plays a crucial role in computer vision by allowing machines to infer depth from two images. This capability is vital for autonomous driving, robotics, and augmented reality applications. Despite advancements in deep learning, many existing stereo-matching models require domain-specific fine-tuning to achieve high accuracy. The challenge lies in developing a model that…

Gemini Robotics brings AI into the physical world

OpenAIMarch 17, 202511Views 0Likes 0Comments

Research Published 12 March 2025 …

Google DeepMind’s Gemini Robotics: Unleashing Embodied AI with Zero-Shot Control and Enhanced Spatial Reasoning

RoboticsMarch 17, 202511Views 0Likes 0Comments

Google DeepMind has shattered conventional boundaries in robotics AI with the unveiling of Gemini Robotics, a suite of models built upon the formidable foundation of Gemini 2.0. This isn’t just an incremental upgrade; it’s a paradigm shift, propelling AI from the digital realm into the tangible world with unprecedented “embodied reasoning” capabilities. Gemini Robotics: Bridging…

Mastering Hadoop, Part 3: Hadoop Ecosystem: Get the most out of your cluster

Data ScienceMarch 17, 20259Views 0Likes 0Comments

As we have already seen with the basic components (Part 1, Part 2), the Hadoop ecosystem is constantly evolving and being optimized for new applications. As a result, various tools and technologies have developed over time that make Hadoop more powerful and even more widely applicable. As a result, it goes beyond the pure HDFS…

STORM (Spatiotemporal TOken Reduction for Multimodal LLMs): A Novel AI Architecture Incorporating a Dedicated Temporal Encoder between the Image Encoder and the LLM

AI NewsMarch 12, 202511Views 0Likes 0Comments

Understanding videos with AI requires handling sequences of images efficiently. A major challenge in current video-based AI models is their inability to process videos as a continuous flow, missing important motion details and disrupting continuity. This lack of temporal modeling prevents tracing changes; therefore, events and interactions are partially unknown. Long videos also make the…

Mastering Hadoop, Part 1: Installation, Configuration, and Modern Big Data Strategies

Data ScienceMarch 12, 202515Views 0Likes 0Comments

Nowadays, a large amount of data is collected on the internet, which is why companies are faced with the challenge of being able to store, process, and analyze these volumes efficiently. Hadoop is an open-source framework from the Apache Software Foundation and has become one of the leading Big Data management technologies in recent years.…

Why Smart Technology Is Driving Business Efficiency and Innovation

IoTMarch 7, 202512Views 0Likes 0Comments

Smart technology is no longer a luxury for businesses but a critical driver of efficiency, growth, and innovation. As technology advances, companies are continually seeking ways to stay ahead in a highly competitive landscape, and the integration of smart solutions plays a pivotal role in shaping their future. By leveraging emerging technologies, businesses can streamline…

How to Spot and Prevent Model Drift Before it Impacts Your Business

Data ScienceMarch 7, 202513Views 0Likes 0Comments

Despite the AI hype, many tech companies still rely heavily on machine learning to power critical applications, from personalized recommendations to fraud detection. I’ve seen firsthand how undetected drifts can result in significant costs — missed fraud detection, lost revenue, and suboptimal business outcomes, just to name a few. So, it’s crucial to have robust…