10 companies to watch right now
kill-the-newsletter.com·12h
🚫Economic Sanctions
Announcing FOKS, the Federated Open Key Service
blog.foks.pub·18h·
Discuss: Lobsters, Hacker News
🔓Open Source Software
Reka Vision – agentic visual understanding and search platform
reka.ai·15h·
Discuss: Hacker News
🧭Content Discovery
Inaugural MOASEI Competition at AAMAS'2025: A Technical Report
arxiv.org·4h
🆕New AI
Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs
arxiv.org·4h
🧠LLM Inference
An autonomous agent for auditing and improving the reliability of clinical AI models
arxiv.org·4h
🛡️AI Safety
Model Cards Revisited: Bridging the Gap Between Theory and Practice for Ethical AI Requirements
arxiv.org·4h
🛡️AI Safety
A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models
arxiv.org·4h
🔄LLM RAG Pipelines
Flippi: End To End GenAI Assistant for E-Commerce
arxiv.org·4h
💳Content Monetization
Multi-Agent Debate Strategies to Enhance Requirements Engineering with Large Language Models
arxiv.org·4h
🏆LLM Benchmarking
Metadata: Your ticket to the AI party
infoworld.com·19h
🆕New AI
A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers
arxiv.org·4h
🏆LLM Benchmarking
Air-FedGA: A Grouping Asynchronous Federated Learning Mechanism Exploiting Over-the-air Computation
arxiv.org·4h
🤝Distributed Consensus
Skywork-R1V3 Technical Report
arxiv.org·4h
🔍AI Interpretability
QuHE: Optimizing Utility-Cost in Quantum Key Distribution and Homomorphic Encryption Enabled Secure Edge Computing Networks
arxiv.org·4h
📱Edge Computing
Property Elicitation on Imprecise Probabilities
arxiv.org·4h
🏆LLM Benchmarking
Towards an Application-Centric Benchmark Suite for Spatiotemporal Database Systems
arxiv.org·4h
📊Database Benchmarking
RTGPU: Real-Time Computing with Graphics Processing Units
arxiv.org·4h
⏱️Real-time Systems
HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales
arxiv.org·4h
📊Model Serving Economics
Dynamic Rank Adaptation for Vision-Language Models
arxiv.org·4h
📊Embeddings