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Arezki Amiri@The Daily Galaxy ?Great Discoveries Channel - 55d
Google's new quantum chip, Willow, has achieved a significant milestone by exponentially reducing errors while scaling with more qubits, tackling a key challenge in quantum error correction. This breakthrough allows the system to maintain its quantum state and achieve more accurate computations. The Willow chip also completed a benchmark calculation in under five minutes, a feat that would take today’s fastest supercomputers an estimated 10 septillion years, vastly exceeding the age of the universe, showcasing a remarkable leap in processing speed. This advancement moves quantum computing closer to practical and commercially relevant applications.
Willow is a 105 qubit superconducting chip that has demonstrated a new level of error correction. The chip incorporates a fault-tolerant architecture and uses surface codes and improved qubit connectivity to mitigate noise and enhance coherence times. With this milestone, Google has also demonstrated that the more qubits it uses in Willow, the more they reduce errors. This achievement, known as being "below threshold", is a major milestone in quantum error correction that the field has pursued for almost 30 years, opening up the prospect of real time error correction on superconducting quantum systems. Recommended read:
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Robert Krzaczyński@InfoQ - AI, ML & Data Engineering - 52d
Google has launched Gemini 2.0, a new top-ranked large language model with enhanced agent capabilities. It features improved performance on complex tasks such as coding, math, and reasoning. The model includes Gemini 2.0 Flash, designed for real-time multimodal interactions, and the Deep Research tool, an agentic system for in-depth online research. Also included are Project Astra, a visual assistant, Project Mariner, a Chrome extension, and Jules, a code debugging AI.
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Robert Krzaczyński@InfoQ - AI, ML & Data Engineering - 45d
Google has launched Gemini 2.0, the latest iteration of its AI model, which is poised to redefine the landscape of AI capabilities. The model family includes Gemini 2.0 Experimental, which is currently the top-ranked large language model. It has demonstrated substantial improvements in coding, math, and complex task handling, surpassing previous models in benchmark performance. This model is now available to Gemini Advanced subscribers, offering them early access to test its capabilities.
Gemini 2.0 Flash was also introduced as a multimodal model optimized for speed and efficiency. It's twice as fast as its predecessor, Gemini 1.5 Pro, while delivering enhanced performance across various benchmarks. This version is a "workhorse model" with low latency, making it suitable for applications requiring real-time responses like AI agents and assistants. Gemini 2.0 Flash also introduces new multimodal features, such as native image generation and controllable text-to-speech in multiple languages, accessible to developers through the Gemini API in Google AI Studio and Vertex AI. Recommended read:
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Matthias Bastian@THE DECODER - 25d
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PCMag Middle East ai
, e-Discovery Team
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Google is expanding its AI capabilities with several new features, including "Daily Listen," a personalized podcast creator. This feature curates a daily, short audio summary of topics and news that a user regularly follows, pulling from their search history and Discover feed preferences. Currently in testing in the US for users in the Google Search Labs program, Daily Listen provides a 5-minute podcast overview that is labeled as "Made for you", complete with audio and a transcription. The goal is to provide users with a quick, personalized rundown of important information that is relevant to them, using AI to create this audio content.
Additionally, Google is exploring quantum computing with its new "Willow" computer. This advanced machine has reportedly achieved computational speeds that would take classical computers longer than the age of the universe to complete. Some scientists at Google believe this speed is achieved by performing computations across parallel universes, supporting the many-worlds interpretation of quantum mechanics. Google's recent advancements in real-time error correction for its qubits is cited as the reason why these parallel universes can be used in this way. These developments not only challenge the current understanding of technology, but also question the very nature of reality. Also, Google is aiding developers with "Grounding with Google Search", this feature, part of Google AI Studio, helps developers get more accurate AI responses using its search engine data. Recommended read:
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