AI startup Magic has completed a $320 million funding round, with participation from Eric Schmidt, Alphabet's CapitalG, and investors like Atlassian, bringing the total funding close to $500 million. Magic focuses on AI model development aimed at generating code and automating software development tasks, featuring an exceptionally long context window of up to 100 million tokens, surpassing current commercial models. Magic plans to collaborate with Google Cloud to build two supercomputers to enhance

A survey by Google Cloud and the National Research Group highlights the significant impact of generative AI on enterprise ROI. Among global companies surveyed, 61% adopted generative AI, with 74% achieving returns within a year and 86% reporting revenue growth exceeding 6%. AI is seen as a key driver of business growth, particularly in customer service, productivity enhancement, and process optimization, leading to a 45% overall productivity incr....

Google Cloud has collaborated with Y Combinator to offer AI startups $350,000 worth of cloud computing resources, including dedicated GPU/TPU clusters, for a period of two years. This initiative aims to foster AI innovation by prioritizing access to computing resources and facilitating one-on-one discussions with AI experts, helping startups tackle technical challenges and promote their growth. The partnership seeks to nurture future tech giants, with Google aiming to establish long-term relationships through early support. This collaboration not only addresses the computing resource needs of startups.

Google's parent company, Alphabet, is preparing for a major acquisition. According to The Wall Street Journal, Alphabet is in deep negotiations with cloud security company Wiz, with the deal potentially valued at $23 billion, which could become the largest acquisition in Alphabet's history.Wiz specializes in providing comprehensive cloud security solutions, capable of collecting data from major cloud platforms and conducting security risk analysis. Industry insiders believe this move aims to str

Essential AI and Google Cloud announce a multi-year partnership to streamline the development of full-stack generative AI products. Essential AI will utilize Google Cloud's TPU v5p for model training to provide customized large language models. In this collaboration, Essential AI will leverage Google Cloud's global infrastructure and advanced analytics tools, including BigQuery, Looker, and Google Analytics.

["Paris-based AI startup Mistral AI has announced a strategic partnership with Google Cloud, marking a significant breakthrough.", "Under the non-exclusive agreement, Mistral AI will utilize Google Cloud's AI-optimized infrastructure to distribute its open-source LLM.", "Following a funding round of $2 billion, Mistral AI quietly released its LLM, sharing it via Torrent links.", "Mistral AI's new hybrid expert model will be introduced in the future."]

Accenture and Google Cloud have teamed up to establish a Generative AI Center of Excellence that provides industry expertise, technical knowledge, and product resources to build and scale applications using Google Cloud's generative AI product suite. The Gemini Pro API has been previewed, and Gemini Ultra will be launched, combining customized services, engineering expertise, and advanced AI technologies.

Google Cloud has teamed up with Mistral AI to facilitate the distribution of language models. Mistral AI will leverage Google Cloud's optimized infrastructure for testing and scaling large language models trained on vast amounts of data for generating text and other content. Founded by former AI researchers from Meta and Google, Mistral AI raised €385 million in funding, led by Andreessen.

["Google Cloud has launched a new data storage location feature for Vertex AI to meet regulatory requirements in industries such as finance and healthcare.", "The first batch of pre-trained generative AI models supporting data storage location selection includes PaLM-2.", "Supported storage locations include the United States, Canada, Japan, and 10 other countries.", "The second batch of data storage control measures involves Vertex AI Search and Vertex AI Conversati"]

Box announced the launch of generative AI tools integrated with Google Cloud's Vertex AI platform. These tools help businesses to process and analyze data in Box more easily. Box utilizes Vertex AI to extract metadata, automatically categorize documents, and identify key information.

Moody's provides employees with Google Cloud's large language models to quickly sift through public information and corporate databases, assisting them in writing analytical reports with the goal of increasing employee participation in such tasks. The software leaves an electronic trail showing the sources of cited information to prevent hallucinations produced by technology. It helps banking employees rapidly assess whether to accept small business clients by searching for risks in the clients' financial disclosures. Employees can make quick judgments based on research provided by the software, saving significant amounts of time compared to the past. The software also enables employees unfamiliar with the language of the field to engage with the information.

Infosys will expand its collaboration with Google Cloud to co-create a global generative AI lab. Infosys will train 20,000 practitioners to utilize Google Cloud's generative AI solutions. The partnership aims to build revolutionary AI platforms and industry solutions. Infosys is actively leveraging AI to provide business solutions for clients. The generative AI capabilities of Google Cloud, combined with the strengths of Infosys, can drive enterprise AI transformation.

The application of generative AI in manufacturing includes machine-generated event monitoring, customer service automation, document search and synthesis, product/content catalog discovery, and supply chain advisory. In healthcare, generative AI is used to enhance the search and connection of clinical data, providing a personalized medical experience. Generative AI not only makes strides in the healthcare and manufacturing sectors but also offers opportunities and innovations for other industries.

The Google Cloud Computing Conference focused on AI, launching multiple new products with an emphasis on generative AI. Google introduced the next-generation AI chip Cloud TPU v5e, which improves performance by 2 times and reduces costs by half. Google Cloud, in partnership with NVIDIA, launched the A3 virtual supercomputer, which enhances performance by 3 times and can scale up to tens of thousands of GPUs.