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Posts Tagged ‘Artificial Intelligence’

Unleashing New Horizons: Gemini Era Ushers in Revolutionary AI Developments at Google I/O

Wednesday, May 15th, 2024

At this year’s Google I/O, the electrifying atmosphere was palpable as Google unveiled its latest triumph in artificial intelligence—the Gemini project. This year’s keynote, delivered by Sundar Pichai amidst rousing applause, emphasized Google’s relentless drive to refine and enhance AI capabilities, pushing the boundaries of what technology can achieve in our daily lives.

The conference kicked off with a spirited recap of the year’s achievements and a peek into the “Gemini era,” a bold new phase in Google’s AI development. The introduction of Gemini, a model designed from the ground up to be natively multimodal, capable of processing and integrating text, images, video, and more, marks a significant leap forward. This model is not just an incremental update; it’s a transformational shift that promises to redefine how we interact with technology.

In a demonstration of its prowess, Google revealed that Gemini can handle complex, multimodal tasks with ease, showcasing examples from various Google ecosystems such as Search, Photos, and Android. For instance, the newly enhanced Google Photos now utilizes Gemini to allow users to interact with their photos in revolutionary ways—like asking the app to recall specific details from images without manually searching.

One of the most exciting announcements was the expansion of Gemini’s capabilities into consumer products. Now integrated across Google’s suite of applications, Gemini’s reach extends into everyday use, making advanced AI tools accessible to everyone. The introduction of Gemini Advanced and the announcement of its availability on mobile platforms underscore Google’s commitment to democratizing AI technology.

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2024 Nvidia Outlook: The AI Revolution in Business, from Generative Models to Quantum Leaps

Thursday, December 7th, 2023

NVIDIA AI experts predict rapid transformations across industries as companies accelerate AI rollouts and begin to build best practices for adopting generative AI.

by CLIFF EDWARDS

Move over, Merriam-Webster: Enterprises this year found plenty of candidates to add for word of the year. “Generative AI” and “generative pretrained transformer” were followed by terms such as “large language models” and “retrieval-augmented generation” (RAG) as whole industries turned their attention to transformative new technologies.

Generative AI started the year as a blip on the radar but ended with a splash. Many companies are sprinting to harness its ability to ingest text, voice and video to churn out new content that can revolutionize productivity, innovation and creativity.

Enterprises are riding the trend. Deep learning algorithms like OpenAI’s ChatGPT, further trained with corporate data, could add the equivalent of $2.6 trillion to $4.4 trillion annually across 63 business use cases, according to McKinsey & Company.

Yet managing massive amounts of internal data often has been cited as the biggest obstacle to scaling AI. Some NVIDIA experts in AI predict that 2024 will be all about phoning a friend — creating partnerships and collaborations with cloud service providers, data storage and analytical companies, and others with the know-how to handle, fine-tune and deploy big data efficiently.

Large language models are at the center of it all. NVIDIA experts say advancements in LLM research will increasingly be applied in business and enterprise applications. AI capabilities like RAG, autonomous intelligent agents and multimodal interactions will become more accessible and more easily deployed via virtually any platform.

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