AI

Last week Microsoft AI announced MAI-Transcribe-1.5. It is the second iteration of the company’s internal speech and text family. The model targets accuracy across 43 languages, accents, and sound environments. The Microsoft team is putting it to work in production writing. What is MAI-Transcribe-1.5 MAI-Transcribe-1.5 is an automatic speech recognition (ASR) model. It takes audio … Read more

Low-code and no-code platforms have moved from simple drag-and-drop builders to native AI development environments. By 2026, most of them are deploying a built-in assistant that turns text information into an active application, agent, or automation. This list includes 21 tools used by AI experts today, grouped by what they do best. The name of … Read more

Most of the search agents are trained as policies over the growing text. The model determines the search method. It must also remember what it saw, what evidence was important, and what it said was checked. A team of researchers from the University of Illinois Urbana-Champaign, UC Berkeley, and Chroma argue that this is asking … Read more

This week, the Google AI team released a Exchange CLI shares. The tool connects your local terminal to the remote Colab runtime. It allows developers and AI agents to run code on cloud GPUs and TPUs. You stay in your terminal all the time. The CLI is open source under the Apache 2.0 license. What … Read more

Moonshot AI has released the Kimi Code CLI, an open source terminal-based agent. The tool reads and edits code, executes shell commands, searches files, and downloads web pages. It then chooses its next step based on the feedback it receives. This project is licensed by MIT and resides on GitHub. Kimi Code CLI is a … Read more

In this tutorial, we work from end to end workflow of Qualcomm AI Hub models. We start by setting up the required package, find the available model collection, and load MobileNet-V2 for PyTorch local inference. We also handle the important issue of input shape by converting the NHWC image tensors into the NCHW format expected … Read more

Google DeepMind has released Quantization-Aware Training (QAT) test environments for the Gemma 4 family. The release targets local use on edge devices and consumer GPUs. It follows the launch of the Gemma 4 in April and the 12B model two days earlier. We compared the available formats of the Gemma 4 model using only published … Read more

On June 3, 2026, Google introduced Gemma 4 12B Unified, an open source multimodal model designed to understand text, images, audio, and video within a single architecture. It includes a 256K window content with an efficient, laptop-friendly design intended for agent workflow and on-premises use. The release also raises interesting questions about Google’s broader AI … Read more

A few years ago, choosing an AI model was easy. You probably didn’t know the term AI model as ChatGPT it was used in the same way. It was the obvious choice (and probably the only one) at the time. But times have changed. ChatGPT is no longer a one-stop shop for AI models. Claude, … Read more

Miso Labs released MisoTTS, an open-source 8-billion-parameter text-to-speech model. Produces expressive speech in both text and audio contexts. The model uses residual vector quantization (RVQ) to extend its sonic range. This avoids scaling a single flat vocabulary while keeping the parameter count constant. What is MisoTTS MisoTTS is an 8B parameter for the text-to-dialogue RVQ … Read more