Latest in AI

Miso Labs has released MisoTTS, an open-weights 8B text-to-speech model. It uses residual vector quantization (RVQ) to scale its sonic range without scaling parameters, and conditions on both text and audio context to respond to speaker tone. The architecture pairs a 7.7B backbone with a 300M depth decoder.

The post Miso Labs Releases MisoTTS: An 8B Emotive Text-to-Speech Model with Open Weights appeared first on MarkTechPost.

Stanford researchers released OpenJarvis, an open-source framework that runs inference, agents, memory, and learning entirely on-device. It decomposes a personal AI system into five composable primitives — Intelligence, Engine, Agents, Tools & Memory, and Learning — and lands within 3.2 points of the best cloud model at roughly 800× lower marginal API cost.

The post Meet OpenJarvis: A Local-First Framework for On-Device Personal AI Agents with Tools, Memory, and Learning appeared first on MarkTechPost.

We build a document intelligence backend with iii by registering modular functions and reusing them across multiple triggers.

The post How to Build a Document Intelligence Backend with iii Using Workers, Functions, and Cron Triggers appeared first on MarkTechPost.

Gemma 4 12B feeds vision and audio straight into the LLM backbone, running locally under an Apache 2.0 license.

The post Google DeepMind Releases Gemma 4 12B: An Encoder-Free Multimodal Model with Native audio that runs on a 16 GB laptop appeared first on MarkTechPost.

Hermes Desktop is a no-terminal GUI sharing one agent core, skills, and memory with the Hermes Agent CLI.

The post Nous Research Releases Hermes Desktop: A Native Cross-Platform Front End for Hermes Agent v0.15.2 with Streaming Tool Output appeared first on MarkTechPost.

NVIDIA released Cosmos 3, open omnimodal world models pairing an autoregressive VLM reasoner with a diffusion generator for physical AI.

The post NVIDIA Releases Cosmos 3: A Two-Tower Mixture-of-Transformers Foundation Model Unifying Physical Reasoning, World Generation, and Action Generation appeared first on MarkTechPost.

Learn to fine-tune LFM2 with QLoRA, supervised fine-tuning, DPO, and adapter merging using TRL and PEFT on Colab.

The post How to Fine-Tune LFM2 Using QLoRA and DPO: A Complete Step-by-Step Coding Tutorial on Google Colab appeared first on MarkTechPost.

Describe a dataset in one sentence; Bigset's orchestrator and parallel sub-agents research the live web and return structured tables.

The post TinyFish Launches BigSet: An Open-Source Multi-Agent System That Builds Structured Live Datasets from Plain-English Descriptions appeared first on MarkTechPost.

Qwen3.7-Plus is Alibaba's multimodal agent model on Bailian, understanding images and video while adding self-programming and tool invocation.

The post Alibaba’s Qwen Team Launches Qwen3.7-Plus, Adding Vision, Deep Reasoning, Tool Invocation, and Autonomous Iteration on the Bailian Platform appeared first on MarkTechPost.

JetBrains releases Mellum2 under Apache 2.0 — a 12B MoE model trained on 10.6 trillion tokens for AI workflows.

The post JetBrains Releases Mellum2: A 12B MoE Model for Fast, Specialized Tasks in Multi-Model AI Pipelines appeared first on MarkTechPost.

We build NVIDIA Apex from source, detect fused kernels, and benchmark FusedAdam, FusedLayerNorm, and torch.amp in Transformer training.

The post How to Speed Up Transformer Training Using NVIDIA Apex (FusedAdam, FusedLayerNorm) and Native torch.amp appeared first on MarkTechPost.

MiniMax M3 introduces MiniMax Sparse Attention, a 1M-token context window, and native image, video, and computer use support.

The post MiniMax Releases MiniMax M3 with MSA Architecture Supporting 1M-Token Context, Native Multimodality, and Agentic Coding appeared first on MarkTechPost.

The open-source project adds local persistent memory to Hermes Agent through six layers, gated retrieval, and a wiki.

The post Meet Memory OS: A 6-Layer Open-Source Memory Stack Built on Top of Hermes Agent appeared first on MarkTechPost.

Parallax replaces LLA's per-query solver with a learned projector, doubling arithmetic intensity and improving perplexity at 0.6B and 1.7B.

The post Parallax: A Parameterized Local Linear Attention That Keeps Softmax and Adds a Learned Covariance Correction Branch appeared first on MarkTechPost.

In this tutorial, we build a governed AI-agent workflow using Microsoft’s Agent Governance Toolkit as the reference point. We create a Colab-ready implementation where agents do not directly execute tools; instead, every action first passes through a governance layer that checks the agent’s identity, trust score, risk tier, requested tool, action type, sensitivity level, and […]

The post An Implementation of the Microsoft Agent Governance Toolkit for Safe AI Agent Tool Use with Policies, Approvals, Audit Logs, and Risk Controls appeared first on MarkTechPost.

In this tutorial, we implement a practical use case with Loguru, a powerful, flexible, and production-ready logging library for Python.

The post A Coding Implementation on Loguru for Designing Robust, Structured, Concurrent, and Production-Ready Python Logging Pipelines appeared first on MarkTechPost.

Trajectory, working with UC Berkeley Sky Lab and Anyscale, built a concurrent multi-LoRA training stack for continual learning. It maps each RL experiment to a dedicated LoRA adapter on an always-hot engine, reporting a 2.81× end-to-end experiment-throughput gain over a single-tenant baseline with no reward regression. The code is open-sourced in NovaSky-AI/SkyRL.

The post Trajectory Releases a Concurrent Multi-LoRA Training Stack for Continual Learning, Reporting a 2.81× Experiment-Throughput Gain appeared first on MarkTechPost.

In this tutorial, we implement a SkillNet use case as a practical framework for discovering, installing, inspecting, evaluating, and organizing reusable AI skills.

The post Build Skill-Augmented AI Agents with SkillNet for Search, Evaluation, Graph Analysis, and Task Planning appeared first on MarkTechPost.

Text-to-speech changed fast in 2026. This guide ranks the leading commercial and open-weight TTS models, comparing quality, latency, cost, language coverage, and licensing so engineers can match a model to the job.

The post Best Text-to-Speech TTS Models in 2026: A Benchmark-Based Comparison appeared first on MarkTechPost.

Genesis AI released Genesis World 1.0 on May 27, 2026 — a four-component simulation platform covering physics, rendering, compilation, and tooling. The system achieves a Pearson correlation of 0.8996 between simulation and real-world robot rollouts, and reduces policy evaluation time from over 200 hours to under 0.5 hours.

The post Genesis AI Releases Nyx, Quadrants, and Genesis World 1.0 Physics Platform for Scalable Robotics Foundation Model Evaluation appeared first on MarkTechPost.