Public health systems are under pressure from rising costs, workforce shortages, increasing demand and limited resources. Data and AI can help organizations use their resources more effectively, improve care decisions and deliver better outcomes. But the next phase of health care AI will depend on more than what the technology […] The post Health care […]
Health care AI in a regulated world: Why trust matters Read More »
Most text-to-SQL systems treat the task as translation. Feyn AI (YC-backed startup) reframes it around inspection. The Feyn team has released SQRL, a family of models that turn natural language questions into SQL. Instead of generating a query immediately, SQRL can inspect the database first. This lets it resolve ambiguity and write only queries the
Introduction This tutorial starts where most agent demos stop: giving the agent persistent memory, operational context, and a place to write back what happened. An event operator does not just need an agent that can summarize a weather report or generate a generic plan. The operator needs an agent that can remember what happened at
Build an Agentic Event Venue Operator with MongoDB Atlas, Voyage, and LangGraph Read More »
Introduction This tutorial starts where most agent demos stop: giving the agent persistent memory, operational context, and a place to write back what happened. An event operator does not just need an agent that can summarize a weather report or generate a generic plan. The operator needs an agent that can remember what happened at
Build an Agentic Event Venue Operator with MongoDB Atlas, Voyage, and LangGraph Read More »
Moonshot AI just released Kimi K3. It is a 2.8-trillion-parameter model with native vision and a 1-million-token context window. Moonshot calls it the world’s first open 3T-class model. What is Kimi K3? Kimi K3 is a sparse Mixture-of-Experts (MoE) model built on two architectural updates. Those are Kimi Delta Attention (KDA) and Attention Residuals (AttnRes).
A German research consortium has published the pretraining report for Soofi S 30B-A3B. It is an open base model for German and English. Training ran end to end on Deutsche Telekom’s Industrial AI Cloud in Munich. Preview weights are on Hugging Face. It is worth noting that among some of the fully open base models
Coding agents are the most contested category in developer tooling right now. Four names dominate the shortlist: Mistral Vibe for Code, Claude Code, Cursor, and OpenAI Codex. Each claims to take a feature from prompt to pull request. This comparison runs all four against one practical workflow. Not a toy script. A real unit of
Robbyant, the embodied AI unit inside Ant Group, has released the LingBot-VA 2.0.The first embodied-native foundation model. It describes a video-action foundation model for generalist robot manipulation. The research team pretrains the whole stack for embodiment instead of fine-tuning a video generator. What is LingBot-VA 2.0? Most video-action models reuse two components built for digital
Authors: Subbu Pazhani and Rob Pratt In a recent post, we demonstrated how Simulated Annealing (SA) can be used to solve the Traveling Salesman Problem (TSP) by using SAS Optimization. In this post, we extend that discussion by exploring how the Ant Colony Optimization (ACO) metaheuristic can be applied to the same problem […] The post Ant Colony
Ant Colony Optimization metaheuristic in SAS Optimization Read More »
Today, Meta Superintelligence Labs released Muse Spark 1.1. Alongside it, Meta opened a public preview of the Meta Model API. That second part is the structural change. Meta’s models previously reached developers mainly as open weights. Muse Spark 1.1 is closed, hosted, and metered per token. So the question is narrow. Where does it belong
