Fake faces, cheap product clips, and rule-skirting story ads are pouring into short-video commerce. Platforms are answering with automated review systems. Honest advertisers are stuck paying for the cleanup.
Oracle Corp. today announced plans to make Google LLC’s TPU artificial intelligence accelerators available through its public cloud. The initiative marks the first time the search giant is supplying the chips to another hyperscaler. According to CNBC, Oracle will also add Cerebras Systems Inc.’s wafer-scale accelerators and OpenAI Group PBC’s Jalapeño inference processor. The latter […] The post Oracle brings Google’s TPUs to its cloud, adds ChatGPT integrations appeared first on SiliconANGLE.
Enterprise artificial intelligence context startup Jedify Inc. today formally launched Data Agents, a product that lets business teams set up autonomous AI analysts by describing the work they want done in plain language. Data Agents takes on a longstanding limit of business intelligence software, where analysts have to build dashboards ahead of time around the […] The post Jedify formally launches Data Agents for building AI analysts in plain language appeared first on SiliconANGLE.
Information technology observability company Virtana today added Agentic Observability Enterprise Management to its platform so its artificial intelligence agents can pull agents from other vendors into an IT incident. The release goes after a gap left by the way enterprises have adopted AI agents so far. Most enterprise agents have come built into a single […] The post Virtana lets its AI agents pull in agents from other vendors to work IT incidents appeared first on SiliconANGLE.
Agents should understand more than your codebase—they should understand how your team works. Your preferences, repository conventions, skills, and custom instructions guide how changes should be made, while code in… The post GitHub intelligence puts your code, context, and history to work appeared first on The GitHub Blog.
arXiv:2610.36582v1 公告タイプ：新規 要旨：ランドマークベースの経路案内を生成するためには、モデルは地図の幾何学的構造と人間のランドマークに対する好みの両方を理解する必要があります。大規模言語モデル（LLMs）は言語処理タスクにおいて優れた能力を示していますが、これらのモデル向けに地図データをどのように構造化すべきかについては、まだ確立されていません。本論文では、経路ナビゲーションにおけるランドマーク選択タスク向けの構造化テキスト表現を提案し、空間的特徴を符号化するためにSVG形式を活用します。この構造化テキストは、レンダリングされた地図画像との幾何学的なつながりを維持しており、言語モデルが空間情報および意味情報を直接参照できるようにします。人間による経路説明文とOpenStreetMapデータから作成した新しいデータセットを用いて、ターンごとのランドマーク選択および目的地周辺でのランドマーク選択という二つのタスクについてモデルの評価を行います。
Ecolab and Datafold used an AI migration agent to rebuild a decade of tangled Snowflake logic as clean, documented dbt models.
Seekable OCI (SOCI) indexing for Amazon SageMaker AI training and processing jobs takes full container image download off the critical path. SageMaker AI lazy-loads your image to start containers in seconds instead of minutes, with no changes to your job definition. See the benchmarks and how to adopt it.
Human beings struggle with emergency communication. Chatbots can help—if people take them seriously.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
