When AI turns software development inside-out: 170% throughput at 80% headcount
Many people have tried AI tools and walked away unimpressed. I get it — many demos promise magic, but in...
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NVIDIA AI Unveils ProRL Agent: A Decoupled Rollout-as-a-Service Infrastructure for Reinforcement Learning of Multi-Turn LLM Agents at Scale
NVIDIA researchers introduced ProRL AGENT, a scalable infrastructure designed for reinforcement learning (RL) training of multi-turn LLM agents. By adopting...
IndexCache, a new sparse attention optimizer, delivers 1.82x faster inference on long-context AI models
Processing 200,000 tokens through a large language model is expensive and slow: the longer the context, the faster the costs...
RPA matters, but AI changes how automation works
RPA (robotic process automation) is a practical and proven way to reduce manual work in business processes without AI systems....
Cohere AI Releases Cohere Transcribe: A SOTA Automatic Speech Recognition (ASR) Model Powering Enterprise Speech Intelligence
In the landscape of enterprise AI, the bridge between unstructured audio and actionable text has often been a bottleneck of...
Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more
As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal...
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Family offices turn to AI for financial data insights
To gain financial data insights, the majority of family offices now turn to AI, according to new research from Ocorian....
Google Introduces TurboQuant: A New Compression Algorithm that Reduces LLM Key-Value Cache Memory by 6x and Delivers Up to 8x Speedup, All with Zero Accuracy Loss
The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM....
Cloudflare’s new Dynamic Workers ditch containers to run AI agent code 100x faster
Web infrastructure giant Cloudlflare is seeking to transform the way enterprises deploy AI agents with the open beta release of...
Palantir AI to support UK finance operations
UK authorities believe improving efficiency across national finance operations requires applying AI platforms from vendors like Palantir. The country’s financial...
How to Design a Production-Ready AI Agent That Automates Google Colab Workflows Using Colab-MCP, MCP Tools, FastMCP, and Kernel Execution
import asyncio import json import io import contextlib import re from dataclasses import dataclass from typing import Callable, Awaitable import...
You thought the generalist was dead — in the 'vibe work' era, they're more important than ever
Not long ago, the idea of being a “generalist” in the workplace had a mixed reputation. The stereotype was the...
A Coding Implementation for Building and Analyzing Crystal Structures Using Pymatgen for Symmetry Analysis, Phase Diagrams, Surface Generation, and Materials Project Integration
header("11. DISORDERED STRUCTURE -> ORDERED APPROXIMATION") disordered = Structure( Lattice.cubic(3.6), , ], ) disordered.make_supercell() print("Disordered composition:", disordered.composition) try: disordered_oxi =...
Three ways AI is learning to understand the physical world
Large language models are running into limits in domains that require an understanding of the physical world — from robotics...
NVIDIA Agent Toolkit Gives Enterprises a Framework to Deploy AI Agents at Scale
The NVIDIA Agent Toolkit is Jensen Huang’s answer to the question enterprises keep asking: how do we put AI agents...
