Skip to content
#Tutorial/How-to

#Tutorial/How-to

Oct 8

TodayOct 8Thu67 items
  1. PandailyAI score36

    CAIR Unveils CARES 4.0 Multimodal Clinical Agent That Suggests Rather Than Decides

    Hong Kong's Centre for Artificial Intelligence and Robotics (CAIR), Chinese Academy of Sciences, unveiled CARES 4.0, a multimodal clinical AI agent that carries out tasks rather than only answering questions about images or video. Built on the Harness agent framework and CAIR's own CT, MRI, ultrasound, endoscopy and EEG foundation models, it has been validated at several top-tier hospitals. CAIR says the system gives suggestions with reasoning paths and sources, and that the doctor remains the final decision-maker.

  4. meng shaoAI score65

    Michigan's Applied Agentic Software Engineering course turns AI coding methods into five Skills

    The University of Michigan's EECS 498 course Applied Agentic Software Engineering teaches a coding agent across three phases, from applying and analyzing agents to building one. Its Elephant-Goldfish Model packages a design-first workflow into five Skills, with human handoffs between each step, and the course materials are public on GitHub.

  6. Tessl BlogAI score42

    Tessl Says Merge Rate Shows Whether AI Adoption Is Real

    Tessl argues that an AI-native organization collapses the handoff between people who own outcomes and the work itself, so product managers and designers can execute changes through agents. It says PR count and token spend are insufficient measures, and that merge rate better shows whether the new workflow is working. The article also says the boundary should follow decision authority, with engineers still owning architecture and data models.

  7. Tessl BlogAI score52

    Simon Martinelli Explains Using System Use Cases as Specs for AI Code Generation

    The author argues that system use cases, with actors, preconditions, scenarios, and acceptance criteria, work better than user stories as the input for AI code generation in enterprise business applications. He describes a process that skips the plan-and-task phase, reverse-engineers legacy systems into use cases and entity models for modernization, and recommends self-contained system verticals and risk-based review.

  16. AWS Machine Learning BlogAI score40

    Cornerstone cuts database diagnosis time 78% with Orion AI on Amazon Bedrock

    Cornerstone OnDemand built Orion AI, a multi-agent system using Amazon Bedrock and the open source Strands Agents framework, that cut database diagnosis from 45 minutes to 10, a 78% reduction. The system also reduced manual lifecycle steps from more than 10 to a single interaction and filtered redundant alerts by a median of 65%. A three-person team delivered it in six months.

  17. Leiphone (雷峰网)AI score54

    Simplexity Robotics uses robots to tend CNC lathes at 0.5 mm tolerance

    At IROS 2026, Simplexity Robotics presented a robot that autonomously tends two CNC machines, grasping workpieces, loading them into chucks, and placing finished parts, with 0.5 mm clearance. The system was trained on only 600 real robot trajectories, using the SimpleWAM world action model, DRAM recurrent memory, and DPE candidate action scoring. The talk was reported as an edited transcript from the conference presentation.

  18. MarkTechPostAI score48

    Laya Open-Source Decision Engine Tutorial: Zero-Shot Decisions and Calibration

    Laya is a 421-million-parameter non-autoregressive decision engine from Convai Innovations that returns calibrated option probabilities in a single forward pass with zero output tokens. This tutorial tests its zero-shot accuracy, probability calibration, temperature fitting, and abstention gating on the CLINC150 banking intent dataset.

  19. Xiaomi MiMoAI score63

    Xiaomi releases MiMo-V2.5-TTS series of speech synthesis models

    Xiaomi released the MiMo-V2.5-TTS Series, three speech synthesis models for stock voices, voice design, and voice cloning. The models accept natural-language style instructions and inline audio tags, and the source says the three models are free of charge for a limited time on the Xiaomi MiMo API platform. Xiaomi also open-sourced integration Skills for agent applications on GitHub.

    AIWhy it matters: The release shows how a TTS family adds style instructions, inline audio tags, and voice design or cloning to speech synthesis, which matters for agent and creative workflows.

  21. Rowan CheungAI score23

    GrokBot gains native X monitoring with four copy-paste routines

    Rowan Cheung shares four GrokBot routines enabled by its new native X monitoring, covering AI workflow discovery, brand mention tracking, prospect detection, and contact follow-ups. Each routine comes with a copy-paste prompt specifying schedules, search criteria, output formats, and Slack delivery. The routines are tailored for newsletter and marketing use cases, such as monitoring The Rundown's mentions and finding readers searching for AI newsletters.

  22. ClaudeDevsAI score36

    How to build automations with Claude Managed Agents: https://claude.dev/blog/building-effective-agent-automations/ Deploy an agent that reads Slack/GitHub on a schedule (with credentials and memory) and posts updates. You can set it up with a Claude Code command and use the new API credits included in Max and Team.

    How to build automations with Claude Managed Agents: https://claude.dev/blog/building-effective-agent-automations/ Deploy an agent that reads Slack/GitHub on a schedule (with credentials and memory) and posts updates. You can set it up with a Claude Code command and use the new API credits included in Max and Team.

  23. ReplitAI score6

    Maybe the website is done, but the launch isn’t. Keep going in the same Replit conversation. Ask for a pitch deck or launch graphics. The brand and direction are already there. Build on them without starting over.

    Maybe the website is done, but the launch isn’t. Keep going in the same Replit conversation. Ask for a pitch deck or launch graphics. The brand and direction are already there. Build on them without starting over.

  24. ReplitAI score4

    You’ve analyzed the survey results and your findings report is ready. Now continue in the same Replit conversation: – “Draft an action plan.” – “Create a presentation.” – “Prepare a research brief.” Choose the next step using findings you’ve already explored as the starting point.

    You’ve analyzed the survey results and your findings report is ready. Now continue in the same Replit conversation: – “Draft an action plan.” – “Create a presentation.” – “Prepare a research brief.” Choose the next step using findings you’ve already explored as the starting point.

  25. Databricks BlogAI score38

    Lakebase Branches Give Parallel Coding Agents Isolated Databases

    Databricks introduces database branching in Lakebase Postgres, letting each coding agent work in its own isolated database branch created in under a second regardless of size. Branches use copy-on-write storage, consuming extra space only as they diverge, and scale to zero when idle so unused branches incur no compute cost. Schema changes are tracked in code and promoted to the parent branch through migrations rather than merged back, and ephemeral branches are created per pull request for testing.

  28. NVIDIA NewsroomAI score46

    Developers Use Frontier AI Agents to Build NVIDIA Omniverse Simulations

    NVIDIA developers are pairing frontier AI models, including GPT-6 Astra and Claude Fable 5, with Omniverse libraries to turn simulation ideas into working applications. Examples include a humanoid warehouse simulator, an autonomous-driving testing workflow, and sensor-matching digital twins. The projects are guided through natural-language instructions and reviewed by developers.

  29. NVIDIA BlogAI score49

    How Developers Use Frontier AI Agents to Build Omniverse Simulations

    Developers are pairing frontier AI models with NVIDIA Omniverse libraries to turn simulation ideas into working applications, from humanoid warehouse simulators to autonomous-driving test environments. In the examples, developers direct AI agents through natural-language instructions and review results, while Omniverse provides GPU-accelerated physics, rendering and sensor simulation. One experiment reported a simulated Unitree G1 humanoid clearing a hurdle in 64 of 100 trials.

  31. Databricks BlogAI score29

    Biomedical Imaging's Real Bottleneck Is Data Access, Not AI Models

    Hospitals, academic centers, medtech firms, and pharma companies all face the same obstacle: imaging data is locked in clinical systems and hard to share. The EXAM study across 20 institutions showed federated learning, which shares model weights rather than patient data, improved AUC by 16% on average. Collaboration remains difficult due to scanner and protocol heterogeneity, privacy governance, and the lack of a common data substrate.

  32. NVIDIA Technical BlogAI score26

    How to create SimReady robotics assets from CAD with frontier AI models

    NVIDIA's Omniverse libraries, guided by SimReady Foundation specifications and agentic NVIDIA skills, provide a structured workflow for converting CAD assets to OpenUSD for robotics simulation. The workflow covers configuring and validating materials, collision geometry, joints, and other physics properties before testing robot behavior.

  33. SiliconANGLE · AIAI score62

    Manus raises over $500M at reported $4B valuation after Meta deal collapsed

    Manus, the developer of the Manus AI agent, has raised more than $500 million led by Boyu Capital, with Tencent also investing. Bloomberg had reported a $4 billion valuation, roughly double Meta's reported offer last December, which Chinese regulators blocked in April. The funding comes days after Manus 2.0 added a new harness, Cloud Computer, and Cue, which lets agents use email accounts and digital wallets.

  37. whAI score22

    Today, we are sharing more about our post-training infrastructure @ProximalHQ We build on top of @modal GPUs and Kubernetes to support our experiments. Had a ton of fun working on this, and we tried to make the blog as educational as possible! More cool details below :)

    Today, we are sharing more about our post-training infrastructure @ProximalHQ We build on top of @modal GPUs and Kubernetes to support our experiments. Had a ton of fun working on this, and we tried to make the blog as educational as possible! More cool details below :)

  39. Comfy BlogAI score34

    How I Generated Live Video with MiniMax H3 on a Single GPU

    A ComfyUI developer generated 15-second 448×256 video in 15 seconds or less on one RTX 5090 using MiniMax H3 with FastVideo's FastH3 V2 checkpoint in four sampling steps. The setup combined sparse attention, a smaller ClipProj text encoder, a pruned INT8 checkpoint, and a fused FP4 MLP, cutting VRAM needs from 80GB to under 30GB. The custom ComfyUI node is open source.

  40. Tessl BlogAI score29

    One Brain Means Owning Your Organizational Memory

    Leapfrog, a small team doing high-volume AI visual and production work for fashion and brand clients, is building a "one brain" system that makes company knowledge and client context searchable through natural-language agents. The starter stack described is OpenClaw in a sandbox, a GitHub repository, Obsidian on the local machine, and Telegram as the access point. The system's research structure had roughly 1,200 files at the time of the talk.