- Recent technological advancements have made it possible to run AI models on devices, known as edge AI.
- Engineers from Carnegie Mellon University, University of Washington, Shanghai Jiao Tong University, and OctoML have collaborated to run large language models on smartphones, PCs, and browsers.
- If this research can be implemented in everyday use, it could greatly expand the applications of generative AI.
- Currently, most AI models run in the cloud, requiring users to rent servers from providers like Azure, AWS, and Google.
- The ability to run AI models on devices could potentially reduce costs and increase accessibility for users.
- Aidan Gomez, CEO of Cohere, and Edo Liberty, CEO of Pinecone, will be participating in a live audio chat with subscribers to discuss the future of AI.
- The discussion will be led by Stephanie Palazzolo, author of AI Agenda, and will cover the rapidly developing field of AI.
- The article mentions the ongoing shortage of Nvidia's cloud-server chips and the competition between Nvidia and cloud providers like Amazon Web Services.
- Nvidia is providing its latest GPU, the H100, to cloud-server startups like CoreWeave, Lambda Labs, and Crusoe Energy to promote competition and showcase its capabilities.
- The article is written by Anissa Gardizy, who is filling in for Stephanie as the cloud computing reporter for The Information.
Main topic: Google is adding contextual images and videos to its AI-powered Search Generative Experiment (SGE) and showing the date of publishing for suggested links.
Key points:
1. Google is enhancing its AI-powered Search Generative Experiment (SGE) by adding contextual images and videos related to search queries.
2. The company is also displaying the date of publishing for suggested links to provide users with information about the recency of the content.
3. Google has made performance improvements to ensure quick access to AI-powered search results.
4. Users can sign up for testing these new features through Search Labs and access them through the Google app or Chrome.
5. Google is exploring generative AI in various products, including its chatbot Bard, Workspace tools, and enterprise solutions.
6. Google Assistant is also expected to incorporate generative AI, according to recent reports.
The main topic of the article is the strain on cloud providers due to the increased demand for AI chips. The key points are:
1. Amazon Web Services, Microsoft, Google, and Oracle are limiting the availability of server chips for AI-powered software due to high demand.
2. Startups like CoreWeave, a GPU-focused cloud compute provider, are also feeling the pressure and have secured $2.3 billion in debt financing.
3. CoreWeave plans to use the funds to purchase hardware, meet client contracts, and expand its data center capacity.
4. CoreWeave initially focused on cryptocurrency applications but has pivoted to general-purpose computing and generative AI technologies.
5. CoreWeave provides access to Nvidia GPUs in the cloud for AI, machine learning, visual effects, and rendering.
6. The cloud infrastructure market has seen consolidation, but smaller players like CoreWeave can still succeed.
7. The demand for generative AI has led to significant investment in specialized GPU cloud infrastructure.
8. CoreWeave offers an accelerator program and plans to continue hiring throughout the year.
Salesforce introduced its AI layer, Einstein, in 2016. Recently, it announced the release of Einstein Studio, allowing customers to bring their own model into Data Cloud. This solution is aimed at companies with sophisticated data teams who want to put their existing models to work in other contexts. Salesforce is also working on partnerships with other platforms like Google Vertex AI and plans to support Databricks and Snowflake in the future. This move suggests that Salesforce is positioning itself as a data company.
Cloud computing vendor ServiceNow is taking a unique approach to AI by developing generative AI models tailored to address specific enterprise problems, focusing on selling productivity rather than language models directly. They have introduced case summarization and text-to-code capabilities powered by their generative AI models, while also partnering with Nvidia and Accenture to help enterprises develop their own generative AI capabilities. ServiceNow's strategy addresses concerns about data governance and aims to provide customized solutions for customers. However, cost remains a challenge for enterprises considering the adoption of generative AI models.
Cloud computing stock ServiceNow is forming a base and expanding its AI offerings through partnerships with companies like Nvidia, boosting its workflow automation system and productivity.
Google Cloud has announced the rollout of new AI-powered data security tools that align with the zero-trust model, including enhancements to Google Drive, Gmail, and data sovereignty, in order to improve data protection and help organizations combat cyber threats.
Google has launched AlloyDB AI, an integrated set of capabilities built into AlloyDB for PostgreSQL that allows developers to build generative AI apps using their own data, providing vector embeddings for AI search apps and faster query performance.
Google is aiming to increase its market share in the cloud industry by developing AI tools to compete with Microsoft and Amazon.
General Motors is collaborating with Google to introduce AI technologies throughout its business, including a partnership on GM's OnStar Interactive Virtual Assistant and exploring the potential applications of artificial intelligence in the automotive industry.
Ginkgo Bioworks and Google Cloud have entered into a five-year strategic partnership to develop and deploy AI tools for biology and biosecurity, with Ginkgo making Google its primary cloud services provider and receiving funding for the development of foundation models and applications.
MSCI is expanding its partnership with Google Cloud to utilize generative AI for investment advisory purposes, aiming to provide investors with enhanced decision-making capabilities, deep data-driven insights, and accelerated portfolio implementation in areas such as risk signals, conversational AI, and climate generative AI.
Google plans to charge large businesses $30 per month for each user of its Duet AI technology, which adds artificial intelligence enhancements to Gmail and other productivity apps, with similar pricing as Microsoft's upcoming 365 Copilot enhancements.
Google has introduced new AI-based solutions at its Google Next conference to enhance the cybersecurity capabilities of its cloud and security solutions, including integrating its AI tool Duet AI into products such as Mandiant Threat Intelligence, Chronicle Security Operations, and Security Command Center, to improve threat detection, provide response recommendations, and streamline security practices.
Google Cloud has launched the fifth generation of its tensor processing units (TPUs), offering improved efficiency and cost-effectiveness for AI training and inferencing.
Fox Sports has partnered with Google Cloud to utilize generative AI technology in order to quickly search and generate content from its extensive library of archived games footage, streamlining the process of content creation for TV, social media, and marketing purposes.
SAP and Google Cloud have expanded their partnership to bring generative AI-powered solutions to industries such as automotive and sustainability to help improve business decision-making and enhance sustainability performance.
Nvidia and Google Cloud Platform are expanding their partnership to support the growth of AI and large language models, with Google now utilizing Nvidia's graphics processing units and gaining access to Nvidia's next-generation AI supercomputer.
Google Cloud's Engineering Director of Web3, James Tromans, states that Google aims to bridge the gap between AI and Web3 by focusing on digital ownership, data provenance, and security rather than speculation on token value, and emphasizes the importance of Web3 technologies being adopted ubiquitously and equitably.
Google has made its Duet AI tools for Google Workspace available to all users, following a 14-day free trial, with pricing starting at $30 per user per month for large businesses and details for consumers and smaller businesses to be revealed later. The AI tools aim to enhance Google's popular apps such as Gmail, Google Docs, Meet, Sheets, and Slides.
Bayer is partnering with Google Cloud to utilize AI technology, such as Tensor Processing Units and Vertex AI, to improve the clinical trial and drug discovery process, automate regulatory documentation, and drive innovation in the field of radiology.
Google Cloud's CEO, Thomas Kurian, stated that the company's latest AI products, Duet AI in Workspace and Vertex AI, have the potential to revolutionize the market and bring AI capabilities to every department and industry, similar to how Google simplified access to the internet.
Google and Salesforce have announced an expanded partnership that integrates data and context from Salesforce to Google Workspace in an open platform, intensifying the competition with Microsoft in the artificial intelligence (AI) space.
AI tools from OpenAI, Microsoft, and Google are being integrated into productivity platforms like Microsoft Teams and Google Workspace, offering a wide range of AI-powered features for tasks such as text generation, image generation, and data analysis, although concerns remain regarding accuracy and cost-effectiveness.
Eight additional U.S.-based AI developers, including NVIDIA, Scale AI, and Cohere, have pledged to develop generative AI tools responsibly, joining a growing list of companies committed to the safe and trustworthy deployment of AI.
Google has provided a select group of companies with early access to its conversational AI software, Gemini, which aims to compete with OpenAI's GPT-4 model and will be available through its Google Cloud Vertex AI service.
Artificial intelligence (AI) is increasingly being used in smartphones, with Google and Apple integrating AI features into their devices, including camera enhancements, adaptive features, and smart suggestions, while AI-powered generative chatbots like ChatGPT and Google Bard are challenging traditional digital assistants like Google Assistant, Siri, and Alexa. The AI revolution is just beginning, with more AI and machine learning features expected to come to market in the future.
Google has restricted the use of Stable Diffusion with a web user interface on its free tier of the Google Colab cloud computing platform, citing the need to prioritize interactive notebook compute; users have alternative options available such as paid subscriptions, free interfaces, or local GPU solutions.
Google has incorporated its AI chatbot, Bard, into applications such as YouTube, Gmail, and Drive, enabling users to collaborate with the chatbot while using these services, as the competition between Google and OpenAI intensifies.
Google has a variety of AI projects under development that can transform workflows and generate music, and users can sign up for early access to these experiments through Google Labs.
Intel CEO Pat Gelsinger emphasized the concept of running large language models and machine learning workloads locally and securely on users' own PCs during his keynote speech at Intel's Innovation conference, highlighting the potential of the "AI PC generation" and the importance of killer apps for its success. Intel also showcased AI-enhanced apps running on its processors and announced the integration of neural-processing engine (NPU) functionality in its upcoming microprocessors. Additionally, Intel revealed Project Strata, which aims to facilitate the deployment of AI workloads at the edge, including support for Arm processors. Despite the focus on inference, Intel still plans to compete with Nvidia in AI training, with the unveiling of a new AI supercomputer in Europe that leverages Xeon processors and Gaudi2 AI accelerators.
Google is expanding its use of artificial intelligence (AI) to enhance video creation on YouTube, introducing features such as AI-powered backgrounds, an app for simpler video shooting and editing, and data-driven suggestions for creators. Additionally, Google is developing an advanced AI model called Gemini, which combines text, images, and data to generate more coherent responses, potentially propelling its AI capabilities ahead of competitors. The tech giant is betting on AI to enhance its suite of products and drive its growth.
