More Gemini Features Coming to Google TV
Google TV integrates Gemini AI for image/video generation, enhances Google Photos, and adds a dedicated YouTube Shorts feed to the homepage.
Read morePoolside has established a strategic partnership with Amazon Web Services (AWS), a renowned public cloud service provider. Through this collaboration, users can access Poolside's foundational models and generative AI assistants via Amazon's Bedrock platform.
Details announced at the AWS re:Invent 2024 conference reveal that customers will be able to utilize these foundational models securely and privately, integrating their own data to create customized coding assistance tools. Earlier, in October, Poolside completed a $500 million Series B funding round led by Bain Capital Ventures, with participation from investors such as Nvidia Corporation and eBay Inc. Poolside focuses on developing a range of generative AI coding models, positioning itself as a competitor to GitHub Copilot.
Poolside's models have been deployed across numerous Fortune 2000 global enterprises, although specific use cases remain limited in public disclosures. These models are trained using reinforcement learning techniques, continuously enhancing performance based on feedback from code execution. Additionally, Poolside offers a comprehensive suite of software toolkits for AI training tasks and tools for evaluating model accuracy.
Amazon Bedrock, as a fully managed service platform, enables developers to access high-performance foundational models from various leading AI companies through a unified API. Leveraging Bedrock, Poolside's models are better positioned to meet enterprise requirements for privacy, security, and compliance, and allow for the deployment of models and training data within the same secure environment.
As part of the collaboration, Poolside plans to leverage AWS's Trainium chips to provide inference support for its Malibu and Point models, optimizing cost efficiency. The Trainium chips are specifically designed AI accelerators that effectively reduce operational expenses.
The two companies have previously collaborated, with Poolside's "learning from code execution feedback" technology already operational on AWS infrastructure, capable of handling up to 10,000 code executions per minute. This technology enables Poolside to continuously enhance model quality by generating large-scale synthetic training data from real-world programming tasks within actual code repositories, all without relying on customer data.
The partnership between Poolside and AWS also aims to streamline the procurement, contract negotiation, and budgeting processes for customers, facilitating the adoption of these models.
Google TV integrates Gemini AI for image/video generation, enhances Google Photos, and adds a dedicated YouTube Shorts feed to the homepage.
Read moreAlphabet Q1 paid subscribers reached 350M, fueled by YouTube & Google One. YouTube ad revenue slightly missed at $9.88B amid Premium growth. Total Q1 revenue hit $109.9B, beating forecasts.
Read moreAnthropic releases Claude connectors for Adobe, Blender, and Ableton, enabling AI workflow automation and app control. It also sponsors the Blender Development Foundation.
Read moreApple introduces an App Store model splitting 12-month plans into monthly installments. On iOS 26.4+, it lowers upfront costs without reducing total price, adding billing tracking.
Read moreGoogle launches Aadhaar digital IDs in Wallet for India, enabling secure QR/NFC verification. A phased partner rollout targets key sectors, while passport-based credentials expand globally.
Read moreYouTube tests "Ask YouTube," an AI tool blending text and video for complex queries. Initially for US Premium users, it supports interactive follow-ups, expanding Google's AI search.
Read moreGoogle grants US DoD classified AI access, joining OpenAI and xAI in defense deals amid Anthropic's dispute. Contractual safeguards against surveillance and lethal weapons remain unenforceable.
Read moreMistral AI launches Workflows, a Temporal-powered orchestration platform for secure, Python-driven enterprise AI automation featuring human-in-the-loop approvals.
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