arXiv:2608.13675v1 Announce Type: cross Abstract: Between October 2018 and July 2026 AI models progressed from simple systems like BERT to massive agents…
Category: AI
MedPlex: Deep Vision-Language Co-Adaptation for Clinically Grounded Medical Segmentation
arXiv:2608.13690v1 Announce Type: cross Abstract: Medical image segmentation is still largely treated as a vision-only problem, although clinical…
Monetizing AI: A Modern Framework for How Companies Can Maximize Business Growth
AI has rapidly moved from a competitive differentiator to a baseline expectation for software companies. However, it has also become the most expensive…
CLAIR-Fin: An Adversarial Multi-Agent Framework for Claim-Level Verification and Adaptive Debate in Cross-Modal Financial QA
arXiv:2608.13706v1 Announce Type: cross Abstract: Existing defenses against hallucination in retrieval-augmented and multi-agent pipelines remain partial:…
OpenAI signs record Ohio data center lease with Nvidia backing up to $105 billion
OpenAI has signed a 20-year lease for an 8-gigawatt data center in Ohio. Nvidia is guaranteeing up to $105 billion for the residual value of the…
SAGE: Surrogate-gradient Adaptation via Attention-Guided Entropy for Spiking Transformers
arXiv:2608.13702v1 Announce Type: cross Abstract: Spiking neural networks (SNNs) offer an energy-efficient alternative to conventional deep neural…
What Can I Actually Do with a Small Language Model?
But by keeping these limits in mind, and planning for them, we can effectively use these small, local models for the following broad operations scenarios.
Measuring Fairness in Large Audio Language Models via Semantic-Aware Bias Estimation
arXiv:2608.13624v1 Announce Type: cross Abstract: Large Audio Language Models (LALMs) have seen increasing use for audio understanding tasks such as…
From AI Copilots to Agent Swarms
The impact of AI on software development has been both profound and ever-evolving. Last year, I wrote about AMD’s plans to use AI not just for generating…
IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering
arXiv:2608.13588v1 Announce Type: cross Abstract: Multi-hop question answering requires complex reasoning across multiple evidence segments, which often…