力のある情報系学生をうまく採用して欲しいのです
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日本OSS推進フォーラム 第6回 イノベーションテック勉強会 "今時のオープンな業界で能力発揮する若い人材を採用するためにIT企業には何が出来るのだろうか？", 2010/10/29 での発表資料 https://ossforum.connpass.com/event/150719
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ブロックチェーンゲーム「マイクリプトヒーローズ」は、EthereumにおいてDAU/Ether取引量/トランザクション数すべてで世界一を記録しました。
Ethereum上にブロックチェーンゲームを構築するためのアーキテクチャや、web上でサービス展開する上で高速開発と高速稼働を両立するためのアーキテクチャを、マイクリの事例を元に紹介いたします。
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課題提出日の傾向から見る締切の期間設定
課題に対する締め切り日は、自由度の高い作業時間の確保のために授業後の何日か後に取る場合が多い。しかし後ろに延ばせば延ばすだけ遅らせる層が存在し、彼らに悪い学修体験をさせないことを両立させる必要がある。2020年度春学期の遠隔授業対応で毎週課題を課したときの締切日設定と、提出日の傾向を見る。
ジェンガブロックの押しにくさを推定する試み
2019年度 安田研究室卒業研究発表
"ジェンガブロックの押しにくさを推定する試み"
栗原拓海・山本竜佑
発表動画 https://www.youtube.com/watch?v=8LIoGmmBNi0
質疑応答 https://www.youtube.com/watch?v=e1Gjoeon6Qg
Domain Specific Architecture は今どこまで来ていて、これからどこに向かうか
「PCCCワークショップin大阪2020」
https://www.pccluster.org/ja/event/2020/01/200221-event.html
ちょっとタイトルが大きくなってしまいましたが、Cerebras CS-1 （Deep Learning の学習専用ミニスパコン）と RISC-V の最近の動向を、Domain Specic な Hardweare 開発のサンプルとして切り出し、HPCなコミュニティ向けに紹介したものです。
RISC-V の現況と Esperanto Technologies のアプローチ
2019/2/2 の FPGA Extreme で話した RISC-V に関する概説。当日は AI 専用設計ハードウェア関連のテーマが多かったので、それと対照しやすい部分を重点的に取り上げた。
当日のスピーチはこちら。
https://www.youtube.com/watch?v=1bugCMkEbc4&t=10441
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2012/6 の iPhone プログラミング勉強会京都むけ発表会資料の公開版。Wolfram Alpha (Mathematica) で解いた処理があったので、日本語版サービス開始に合わせて発掘。
教育側から見たセキュリティ人材教育の「明日はどっちだ」
2018/3/8 関西CIOカンファレンス -産業界が求めるサイバーセキュリティ人材像とその育成・確保-
での発表資料（＋α）
http://www.kiis.or.jp/research/cio/conference/
京都産業大学におけるセキュリティ人材育成の考え方
2017.9.2 OWASP Kansai Local Chapter ミーティング
https://owasp-kansai.doorkeeper.jp/events/61834
Lake Crest について調べてみた
Intel の Deep Learning 用チップ Lake Crest、というか Nervana Engine についてざっと調べてみました。
（2016年12月の学部学生向け昼休みイベントの資料）
FPGA based 10G Performance Tester for HW OpenFlow Switch
SDN operators need to measure the performance of OF HW switch on their site. Cause there is 1000 times differences in latency, depends on the specified flow entry. ASIC can forward in several μsecs but the software (CPU) may take msec.
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A proposal of the OpenFlow controller development support tool
OpenFlow controller programmer does not have any method to confirm how reflected their code to the flow control, directly and intuitively
“This code, how does work on... which flow?”
“This flow, which code does make it?”
This slides shows the basic design of the mechanism for binding code and flow to see them.
It enables cross referencing logic and flow each other and also enable tracing the flow over switches.
It had been presented at the 16th IOT conference of IPSJ, March 2012.
OpenFlowコントローラ開発支援ツールの提案
コントローラ・プログラミングにおける問題の一つとして、プログラマは自分が書いたコードが実際にどのような転送先制御として反映されたのか直接的に確認する方法がないことがある。
それに対して “このコードは、どのフローに対して、どう作用したのか？” あるいは “このフローは、どのコードによって生成されたのか？” を把握するためのツールを提案する。
第16回IOT研究発表会-情報処理学会で発表したスライドを加筆･修正したもの。
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The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
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From Natural Language to Structured Solr Queries using LLMs
力のある情報系学生をうまく採用して欲しいのです
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