Unveiling Google's Latest AI Developments: A Deep Dive

Published On Tue Aug 06 2024
Unveiling Google's Latest AI Developments: A Deep Dive

Google News, Stories and Latest Updates

Stay informed with the latest breaking news, top stories, and in-depth analysis about Google and its latest AI developments. Microsoft announced plans to spend more money this fiscal year to enhance its AI infrastructure, even as growth in its cloud business has slowed, suggesting that the AI payoff will. WPP announced at SIGGRAPH that Coca-Cola will be among the first to adopt NVIDIA NIM microservices for OpenUSD in its Prod X studio. The NeuralGCM seems like a significant advancement in pure ML-based modelling at first glance. It’s concerning that while our most advanced models can win a silver medal in a Math Olympiad, they can also fail to answer a simple question.

The Most Important AI Developments from Google I/O

YouTube Channel and Competitive Environment

Creating a YouTube channel can be a great part-time job, especially if you can produce engaging content even when busy at work! The competitive environment in which LLMs operate is changing quickly. For Google to stay in the market, it will be essential for it to innovate and set Gemma apart. Outages are often caused due to network issues, including design/configuration, hardware, capacity, software, and environmental threats.

CLP Framework and ONDC Achievements

The CLP framework enhances language models for summarization, conversational agents, and social norms encoding by balancing multiple objectives for real-world flexibility and usability. ONDC has captured approximately 3% of the food-order volumes from Swiggy and Zomato and achieved 68 million transactions since its inception. Earlier this week, Google invested in Moving Tech, the parent company of Namma Yatri and also lowered the prices for Google Maps AI for Indian developers. Ola has introduced a special offer for startups and SMBs building on the ONDC platform, providing three years of free access to Ola Maps. The company has over 20,000 employees across 10 Indian cities – Ahmedabad, Bengaluru, Chennai, Gurugram, New Delhi, Noida, Hyderabad, Kolkata, Mumbai, and Pune.

AI in fashion: Use cases, benefits, implementation and technologies

Google I/O Connect and Gemini 1.5 Pro

At Google I/O Connect, Bengaluru, the generative AI powerhouse expanded access to its multimodal AI model Gemini 1.5 Pro and family of open models Gemma 2 for Indian developers. A benchmark to help in evaluating the generative capabilities of Indic LLMs, IndicGenBench is part of a slew of India-centric updates released during Google I/O Bengaluru 2024. Google will give businesses up to $350,000 in Google Cloud credits to invest in cloud computing and infrastructure. The move comes days after Ola replaced Google Maps with its in-house Ola Maps. Google has joined a group of investors supporting Namma Yatri, an open-source ride-hailing app in India that is challenging established players like Uber and Ola.

EM-LLM and Generative AI

Fulara is responsible for scaling AI and ML products including Recommendations AI and now Meridian models. EM-LLM integrates important aspects of episodic memory and event cognition, used by the human brain, into LLMs. The new text-to-video platform looks to compete with OpenAI’s Sora and other similar options. The intelligence of these models is limited by the humans who create them. Generative AI has the potential to boost the fashion industry’s profits by $150 billion to $275 billion by 2030.

Streamline Generative AI Development with NVIDIA NeMo on GPU

Google's Approach to AI

Mentioning worst-case scenarios like nuclear war or building chemical weapons only serves to stoke a pervasive fear of AI that is already common among the general public. Polosukhin highlighted that right now, they’re building systems to improve individuals and expand the capabilities of minds. Google Research presented over 95 papers, a modest increase from last year. The added features are a massive boon to developers, as they serve to improve the functionalities of both Gemini 1.5 Pro and the Gemini API. The 27B model can perform inference on a single NVIDIA H100 Tensor Core GPU or TPU host, reducing deployment costs. Starting today, users can also use Gemini in the Gmail mobile app on Android and iOS to analyze email threads and see a summarized view with the key highlights. With the introduction of OpenAI’s ChatGPT and Perplexity.AI, Google, which has long dominated as the primary source of online information, seems outdated.

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