Building Jamaica digital future - Jamaica Observer
jamaicaobserver.com·3h
⚙Technology
Knowledge and Common Knowledge in a Distributed Environment, Part 1
emptysqua.re·2d
🔗Distributed Systems
A flying ad-hoc network dataset for early time series classification of grey hole attacks
nature.com·2m
🌍Edge Computing
How I Used AI Tools to Create a Software Project Knowledge Base
spin.atomicobject.com·41m
💬Natural Language Processing
Open Source Sustainability for fastn - FifthTry Launches Rust Consultancy
fastn.com·1d·
Discuss: Lobsters, Hacker News
🔄Tokio
Redis 8.2 released with performance boosts, new streams data structure commands, and more
alternativeto.net·2d
📡gRPC
A Practical Guide to Scalable Job Scheduling for Cloud and Big Data
hackernoon.com·2d
🔗Distributed Systems
How to make AI code edits more accurate
dev.to·7h·
Discuss: DEV
🌐WebAssembly
Golang Meets AWS: Cloud Integration Magic ✨
dev.to·2h·
Discuss: DEV
📡gRPC
Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations
arxiv.org·8h
👁️Observability
Cloud Native Application and MSA
dev.to·4d·
Discuss: DEV
🔗Distributed Systems
Serverless and Microservices Architecture
kysinfotech.in·5d·
Discuss: DEV
🔗Distributed Systems
'The amount of inference compute needed is already 100x more': How Europe's AI companies can meet demands
sifted.eu·2d
🌍Edge Computing
Database Query Operator – Manage Kubernetes Resources from Your Database
reddit.com·3d·
Discuss: r/kubernetes
🔄Tokio
Harnessing AI's potential on the mainframe
techradar.com·22h
🔗Distributed Systems
Creating a extremely secure hacker-proof system. Advanced cybersecurity principles.
dev.to·2h·
Discuss: DEV
👁️Observability
Tristan's Projects
lesswrong.com·8h
💬Natural Language Processing
ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
arxiv.org·1d
💬Natural Language Processing
LINK Reserve Launch, Smart Account Adoption Hurdles, Resource Locks for Intents, Etherspot's EIP-7702 Grant
dev.to·22h·
Discuss: DEV
🕸️Service Mesh
How Amazon scaled Rufus by building multi-node inference using AWS Trainium chips and vLLM
aws.amazon.com·1d
🔗Distributed Systems