Research
Published
12 March 2025
…
admin
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…
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…
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…
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.…
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…
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…
With the rapid advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs), many believe OCR has become obsolete. If LLMs can "see" and "read" documents, why not use them directly for text extraction? The answer lies in reliability. Can you always be a 100% sure of the veracity of text output that LLMs…
With researchers aiming to unify visual generation and understanding into a single framework, multimodal artificial intelligence is evolving rapidly. Traditionally, these two domains have been treated separately due to their distinct requirements. Generative models focus on producing fine-grained image details while understanding models prioritize high-level semantics. The challenge lies in integrating both capabilities effectively without…
Since the launch of the Gemini 2.0 Flash model family, developers are discovering new use cases for this highly efficient family of models. Gemini 2.0 Flash offers stronger performance over 1.5 Flash and 1.5 Pro, plus simplified pricing that makes our 1 million token context window more affordable. Today, Gemini 2.0 Flash-Lite is now generally…