A 0.12% parameter add-on gives AI agents the working memory RAG can't
AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests...
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Nvidia Vera chip targets $200bn market as Huang opens a second front
The Nvidia Vera chip is rarely the headline when earnings beat estimates, but it should be. When Nvidia reported Q1...
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Corti's new Symphony for Speech-to-Text model beats OpenAI at medical terminology accuracy, highlighting the value of specialized AI
Today, Copenhagen-based healthcare AI Corti is launching Symphony for Speech-to-Text, a new generation of clinical-grade speech recognition models engineered specifically...
The Nvidia H200 China Deal That Washington Approved and Beijing Blocked
President Trump flew to Beijing, brought Jensen Huang along at the last minute, and left two days later, telling reporters...
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Best Enterprise Level Agentic AI Platforms for 2026
In 2026, enterprise agentic AI has moved from pilot budgets to production commitments. Salesforce is closing Agentforce deals at 29,000...
Context architecture is replacing RAG as agentic AI pushes enterprise retrieval to its limits
Redis built its name as the caching layer that kept web applications from collapsing under load. The problem it is...
Amazon launches Alexa for Shopping as Rufus moves behind the scenes
Amazon has introduced Alexa for Shopping, combining its Rufus shopping chatbot with Alexa+ across its app, website, and Echo Show...
A Coding Implementation to Compress and Benchmark Instruction-Tuned LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor
import subprocess, sys def pip(*pkgs): subprocess.check_call() pip("llmcompressor", "compressed-tensors", "transformers>=4.45", "accelerate", "datasets") import os, gc, time, json, math from pathlib import...
The enterprise risk nobody is modeling: AI is replacing the very experts it needs to learn from
For AI systems to keep improving in knowledge work, they need either a reliable mechanism for autonomous self-improvement or human...
Nous Research Proposes Lighthouse Attention: A Training-Only Selection-Based Hierarchical Attention That Delivers 1.4–1.7× Pretraining Speedup at Long Context
Training large language models on long sequences has a well-known problem: attention is expensive. The scaled dot-product attention (SDPA) at...
Intercom, now called Fin, launches an AI agent whose only job is managing another AI agent
The company formerly known as Intercom just did something that no major customer service platform has attempted at scale: it...
Scale ‘autonomous intelligence’ for real growth
Transitioning from controlled testing environments to live enterprise deployment is a very different proposition. A small-scale test might perform perfectly...
Developers can now debug and evaluate AI agents locally with Raindrop's open source tool Workshop
Observability startup Raindrop AI’s new open source, MIT Licensed "Workshop" tool, launched today, gives developers something that they've likely wanted,...
Physical AI moves closer to factory floors as companies test humanoid robots
British technology company Humanoid will deploy humanoid robots at factories operated by German industrial supplier Schaeffler, Reuters reported.The two companies’...
Enterprise AI Governance in 2026: Why the Tools Employees Use Are Ahead of the Policies That Cover Them
By the time a company’s legal team finishes drafting its generative AI acceptable use policy, a meaningful percentage of its...
