Artificial intelligence
-
MIT-IBM Watson AI Lab Seed Demonstration: Maximizing the Impact of Early Career Skills | MIT News
The early years of faculty members’ careers are a formative and exciting time to establish a solid footing that helps…
Read More » -
AI Won’t Kill Your Business – Bad Governance Will.
βAI will make our teams write code 10x faster?β At this point, every engineering leader has heard and many are…
Read More » -
Google AI Releases WAXAL: A Multilingual African Speech Dataset for Training Automatic Speech Recognition and Transform-to-Speech Examples
Speech technology still has a problem with data distribution. Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems have developed rapidly…
Read More » -
How to Build GPU-Accelerated Simulations and Unique Physics Workflows Using NVIDIA Warp Kernels
angles = np.linspace(0.0, 2.0 * np.pi, n_particles, endpoint=False, dtype=np.float32) px0_np = 0.4 * np.cos(angles).astype(np.float32) py0_np = (0.7 + 0.15 *…
Read More » -
Mistral AI Releases Small Mistral 4: A 119B-Parameter MoE Model Including Discipline, Logic, and Multiple Workloads
Mistral AI released Lesser Mistral 4a new model in the Mistral Small family designed to combine several previously separate capabilities…
Read More » -
Moonshot AI Release π¨ππππππππ πΉππππ ππππ Recovering Residual Mixing for Better-Wittering Attention
Residual connections are one of the least-questioned aspects of modern Transformer design. In PreNorm architectures, each layer adds the output…
Read More » -
Coding Designing an Enterprise AI Management System Using OpenClaw Gateway Policy Engines, Approved Workflows and Auditable Agent Execution
In this tutorial, we build a business AI management system using OpenClaw and Python. We start by setting up the…
Read More » -
Meet OpenViking: An Open-Source Context Database Bringing Filesystem-Based In-Memory and Retrieval to AI Agent Systems like OpenClaw
OpenViking is open source Content Database on AI Agents from Volcengine. The project is built around a simple architectural concept:…
Read More » -
LangChain Releases Deep Agents: Fixed Runtime for Scheduling, Memory, and Content Management in Multistep AI Agents
Most LLM agents work well for short tool-calling loops but begin to break down when the task becomes multi-step, transparent,…
Read More » -
How to Build Type-Safe, Schema-Constrained, and Function-Driven LLM Pipelines Using Lists and Pydantic
In this tutorial, we create a workflow using The outline generating systematic and type-safe results from language models. We work…
Read More »