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  • Omakub

    Turn a fresh Ubuntu installation into a fully-configured, beautiful, and modern web development system by running a single command. That’s the one-line pitch for Omakub. No need to write bespoke configs for every essential tool just to get started or to be up on all the latest command-line tools. Omakub is an opinionated take on what Linux can be at its best. Omakub includes a curated set of appli

      Omakub
    • Unlock a new era of innovation with Windows Copilot Runtime and Copilot+ PCs

      I am excited to be back at Build with the developer community this year. Over the last year, we have worked on reimagining  Windows PCs and yesterday, we introduced the world to a new category of Windows PCs called Copilot+ PCs. Copilot+ PCs are the fastest, most intelligent Windows PCs ever with AI infused at every layer, starting with the world’s most powerful PC Neural Processing Units (NPUs) c

        Unlock a new era of innovation with Windows Copilot Runtime and Copilot+ PCs
      • ウェアラブルAIデバイス「Ai Pin」不振でHumaneが身売り先を探しているとの報道

        2024年4月に、胸に留めた端末から手のひらに映像を投影して使用するAI搭載ウェアラブルデバイス「Ai Pin」がリリースされました。スマートフォン市場を席巻すると鳴り物入りで登場したAi Pinですが、売上が振るわず早くもメーカーのHumaneが事業の売却先を模索していると報じられています。 Wearable AI Startup Humane Is Said to Explore Potential Sale - Bloomberg https://www.bloomberg.com/news/articles/2024-05-22/wearable-ai-startup-humane-is-said-to-explore-potential-sale Humane is looking for a buyer after the AI Pin’s underwhelming debu

          ウェアラブルAIデバイス「Ai Pin」不振でHumaneが身売り先を探しているとの報道
        • mlxのwhisperでリアルタイム文字起こしを試してみる - Qiita

          Whisperでのリアルタイム文字起こしの手法は「Whisperを使ったリアルタイム音声認識と字幕描画方法の紹介」を参考にした。 mlxのwhisperセットアップは前回の記事を参考ください。 本題 ストリーミング処理を行うには音声の無音検知が必要となるので調べたところ、faster-whisperでもVAD(Voice Activity Detector)にSilero VADを使っている。 それのJS版であるricky0123/vadで書かれているコードがあったのでmlx用に一部書き直して試してみた。 ファイル構成 import os import time from flask import Flask, request, render_template import whisper import threading UPLOAD_FOLDER = 'uploads' ALLOWED

            mlxのwhisperでリアルタイム文字起こしを試してみる - Qiita
          • Reclaiming IPv4 Class E's 240.0.0.0/4

            Ever since the supply of fresh IPv4 address blocks was depleted there has been a number of interesting market changes, mostly around the costs to either acquire or lease IPv4 address blocks. Since the demand for IPv4 addressing has not changed that much, prices have gone up, and more providers like AWS, Hetzner, OVH, etc who were previously pricing in the cost of IPv4, are now charging for it sepa

              Reclaiming IPv4 Class E's 240.0.0.0/4
            • Introducing the Advanced Python Wrapper Driver for Amazon Aurora | Amazon Web Services

              AWS Database Blog Introducing the Advanced Python Wrapper Driver for Amazon Aurora Building upon our work with the Advanced JDBC (Java Database Connectivity) Wrapper Driver, we are continuing to enhance the scalability and resiliency of today’s modern applications that are built with Python. The ability to scale is critical to handle millions of users on demand, and with stateful applications such

                Introducing the Advanced Python Wrapper Driver for Amazon Aurora | Amazon Web Services
              • Waiting for Postgres 17: Streaming I/O for sequential scans & ANALYZE

                In today’s E112 of “5mins of Postgres” we discuss streaming and vectored I/O in Postgres 17. This is an important step towards implementing asynchronous I/O in Postgres. In Postgres 17 we do not yet have asynchronous I/O, but we do see a performance benefit from what is essentially a refactoring work around the internal APIs. In this episode, I give you a little bit of a behind the scenes view on

                  Waiting for Postgres 17: Streaming I/O for sequential scans & ANALYZE
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