Prefer Module Composition over Inheritance With TF
newsletter.masterpoint.io·1d·
Discuss: Hacker News
🌐WebAssembly
Swarm robotics could spell the end of the assembly line
therobotreport.com·4h·
Discuss: Hacker News
🌐WebAssembly
Scientists find 'speed limit' for innovation networks to prevent system collapse
phys.org·1h
⚙Technology
Salesforce Boosts AI Partnership with $1.5 Billion Genesys Investment
smallbiztrends.com·3h
🕸️Service Mesh
Reflection AI in talks to raise $1 billion in funding to take on Meta, DeepSeek in Open Source AI race
techstartups.com·4h
🤖Machine Learning
AI Designs Computer Chips We Can’t Understand — But They Work Really Well
nordot.app·1h
⚙Technology
Data center infrastructure is the “unsung foundation” of the Government’s ambitious AI agenda
techradar.com·3h
🌍Edge Computing
Autonomous AI agents in industry: the potential and challenges of agentic AI
igorslab.de·1d
💬Natural Language Processing
(PR) UCIe Consortium Introduces 3.0 Specification with 64 GT/s Performance and Enhanced Manageability
techpowerup.com·5h
🚀QUIC Protocol
Need advice on sockets , crypto libraries and some design choices
reddit.com·1d·
Discuss: r/cpp
📡gRPC
DevOps Lifecycle Stages: The Core of Agile IT Workflows
dev.to·11h·
Discuss: DEV
👁️Observability
(PR) Phison and Supermicro Collaboration Delivers Unmatched Storage Density for AI and Hyperscale Workloads
techpowerup.com·2h
🗄️Database Sharding
How Top AI Engineers Are Shaping the Future of Software Development
dev.to·7h·
Discuss: DEV
🌍Edge Computing
How to Set Up AWS ElastiCache Serverless with OpenTofu and Valkey
hackernoon.com·1d
🔄Tokio
Common pitfalls in Java multithreading
dev.to·7h·
Discuss: DEV
🔄Tokio
Don't Build a Battleship: An Agile Lesson from a Billion-Dollar Mistake
dev.to·10h·
Discuss: DEV
🌐WebAssembly
Cloned GoFiber for Learning and Achieved ~45% of its Performance
github.com·1d
📡gRPC
Hyperproperty-Constrained Secure Reinforcement Learning
arxiv.org·1d
♟Chess Programming
Getting Started with Quarkus and GraalVM Native Image
dev.to·12h·
Discuss: DEV
📡gRPC
NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds
arxiv.org·13h
🌍Edge Computing