Databricks built a RAG agent it says can handle every kind of enterprise search
Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to...
AI News
JPMorgan expands AI investment as tech spending nears $20B
Artificial intelligence is moving from pilot projects to core business systems inside large companies. One example comes from JPMorgan Chase,...
Dyna.Ai Just Raised Eight Figures to Fix Finance’s Biggest AI Problem
The financial services industry has a pilot problem. Institutions pour resources into AI proofs-of-concept, generate impressive dashboards, and then quietly...
EY hit 4x coding productivity by connecting AI agents to engineering standards
Coding agents can generate thousands of lines of code in minutes. The problem: most of it can't be deployed. It...
YuanLab AI Releases Yuan 3.0 Ultra: A Flagship Multimodal MoE Foundation Model, Built for Stronger Intelligence and Unrivaled Efficiency
How can a trillion-parameter Large Language Model achieve state-of-the-art enterprise performance while simultaneously cutting its total parameter count by 33.3%...
Microsoft built Phi-4-reasoning-vision-15B to know when to think — and when thinking is a waste of time
Microsoft on Tuesday released Phi-4-reasoning-vision-15B, a compact open-weight multimodal AI model that the company says matches or exceeds the performance...
How to Build an EverMem-Style Persistent AI Agent OS with Hierarchical Memory, FAISS Vector Retrieval, SQLite Storage, and Automated Memory Consolidation
class EverMemAgentOS: def __init__( self, workdir: str = "/content/evermem_agent_os", db_name: str = "evermem.sqlite", embedding_model: str = "sentence-transformers/all-MiniLM-L6-v2", gen_model: str =...
Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient
To create coherent images or videos, generative AI diffusion models like Stable Diffusion or FLUX have typically relied on external...
Google’s Industrial Robotics AI Play Is Now a Physical AI Priority
When Google folds a moonshot into its core operations, it’s not cleaning house. It’s placing a bet. On February 25,...
LangWatch Open Sources the Missing Evaluation Layer for AI Agents to Enable End-to-End Tracing, Simulation, and Systematic Testing
As AI development shifts from simple chat interfaces to complex, multi-step autonomous agents, the industry has encountered a significant bottleneck:...
Pentagon vendor cutoff exposes the AI dependency map most enterprises never built
The federal directive ordering all U.S. government agencies to cease using Anthropic technology comes with a six-month phaseout window. That...
Physical AI is having its moment and everyone wants a piece of it
There is a particular kind of momentum in the technology industry that announces itself not through a single breakthrough, but...
Google Drops Gemini 3.1 Flash-Lite: A Cost-efficient Powerhouse with Adjustable Thinking Levels Designed for High-Scale Production AI
Google has released Gemini 3.1 Flash-Lite, the most cost-efficient entry in the Gemini 3 model series. Designed for ‘intelligence at...
Endor Labs launches free tool AURI after study finds only 10% of AI-generated code is secure
Endor Labs, the application security startup backed by more than $208 million in venture funding, today launched AURI, a platform...
AI agents prefer Bitcoin shaping new finance architecture
AI agents prefer Bitcoin for digital wealth storage, forcing finance chiefs to adapt their architecture for machine autonomy.When AI systems...
Physical Intelligence Team Unveils MEM for Robots: A Multi-Scale Memory System Giving Gemma 3-4B VLAs 15-Minute Context for Complex Tasks
Current end-to-end robotic policies, specifically Vision-Language-Action (VLA) models, typically operate on a single observation or a very short history. This...
OpenAI's AI data agent, built by two engineers, now serves thousands of employees — and the company says anyone can replicate it
When an OpenAI finance analyst needed to compare revenue across geographies and customer cohorts last year, it took hours of...
Santander and Mastercard run Europe’s first AI-executed payment pilot
An artificial intelligence system has, for the first time in Europe, completed a payment inside a live banking network without...
Meet SymTorch: A PyTorch Library that Translates Deep Learning Models into Human-Readable Equations
Can symbolic regression be the key to transforming opaque deep learning models into interpretable, closed-form mathematical equations? or Say you...
Did Alibaba just kneecap its powerful Qwen AI team? Key figures depart in wake of latest open source release
Alibaba's Qwen team of AI researchers have been among the most prolific and well-regarded by international machine learning community —...
The integration of AI in modern forex automation
Try to think of just one area where artificial intelligence is not leaving a mark, and you’ll realise there’s almost...
How to Build a Stable and Efficient QLoRA Fine-Tuning Pipeline Using Unsloth for Large Language Models
In this tutorial, we demonstrate how to efficiently fine-tune a large language model using Unsloth and QLoRA. We focus on...
