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AI ShortWriting & Content

AIS ALERT MANAGEMENT AND SHARED PLATFORM, QUICK COMMAND FOR MULTIPLE SCENARIOS

AI HINT COMMAND分类推荐榜首Pricing unverifiedView details
WhisperAI VOICE RECOGNITION

由OpenAI开发的通用语音识别模型。

Translation queued · Original text · zh分类推荐榜首Pricing unverifiedView details
Open DesignDesign & 3D

OpenDesign is an open-source design workspace that can connect to local programming agents, use built-in model keys, or leverage cloud-based models, enabling the creation and editing of prototypes, web pages, presentations, and graphics within a design system; local software is free, while model services incur fees.

AI design tools分类推荐榜首Free entry availableView details
JAXModels & Infrastructure

JAX is a Python numerical computing library designed for accelerators, specifically tailored for high-performance array computations and large-scale machine learning. It efficiently executes the same code across multiple hardware backends, including CPUs, GPUs, and TPUs.

AI DEVELOPMENT PLATFORM分类推荐榜首Pricing unverifiedView details
MemoAIMusic & Audio

MemoAI is an AI-powered audio-to-text tool that supports localized processing, eliminating the need to upload data and ensuring privacy and security. It can efficiently transcribe YouTube videos, podcasts, and local audio/video files (such as MP4, MP3, AAC, M4A, etc.) into text, while offering core features like multilingual translation, speaker diarization, real-time subtitles, and floating notes—making it ideal for meeting minutes, interview transcription, content learning, and more.

AI AUDIO TOOL分类推荐榜首Pricing unverifiedView details
EvoMapAI Agents & Automation

EvoMap is an infrastructure designed for the reuse of AI agent experiences. It organizes reusable strategies and repair assets with validation records via the GEP protocol, offering market- and quality-based ranking to help different agents discover, evaluate, and inherit existing capabilities.

分类推荐榜首Pricing unverifiedView details
KiroCoding & Development

Kiro is an AI engineering tool for developers that organizes requirements into specifications, architectures, and tasks, generates code via agents, and supports the entire workflow—from planning to code review—through property-based testing, execution memory, and integration with development tools.

AI programming tool分类推荐榜首Free entry availableView details
RowsData & Analytics

Rows is a spreadsheet tool that combines AI analytics, data integration, and interactive reporting, enabling you to organize documents and business data using natural language, merge datasets, generate reports, and build computational models. The official website currently indicates that it has been integrated with Superhuman and provides a corresponding link to continue using the service.

DATA PROCESSING FOR AI FORMS待评分 · 分类列表推荐Pricing unverifiedView details
IamIPIndustry Applications

IamIP is a patent platform that provides AI-driven search, analysis, and monitoring tools to help users conduct patent research and management more efficiently.

待评分 · 分类列表推荐Pricing unverifiedView details
FinBusiness & Customer Support

CLIENT-ORIENTED AI SMART BODY。

Customer serviceSmartClient services待评分 · 分类列表推荐Pricing unverifiedView details

AI, as it happens

1920 published stories
2026-11-03
Follow the timeline
07:17

llama.cpp · b12061

mtmd: Pocket tts - support for voices without voice cloning (#31429) * feat: support PocketTTS voices with no voice cloning The kyutai/pocket-tts-without-voice-cloning weights ship predefined voices as the backbone KV state after the voice prompt. The converter turns each state back into the prompt embeddings and stores them in the mmproj (voice.), the zeroed voice encoder is left out, and the "voice" field of /tts and --tts-voice select one of them. A speaker reference is rejected when the model has no voice encoder. Assisted-by: Claude Fable 5.1 * convert : pocket-tts voices never fail the conversion, log the drift of the state The voice states shipped by Kyutai are not always the ones the pack's weights give for the prompt: italian, german and spanish match within the bf16 rounding, eng

Inference systems & deploymentRead original Timeline and related coverage
06:41

llama.cpp · b12059

llama : flash_attn_ext_rows - more efficient unified kv for multi-seq (#29510) * llama : use llm_attn_mask and kv_rows for unified attention Assisted-by: dsh:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB) Co-authored-by: Georgi Gerganov * cont : optimize `get_seq_cells` * llama : build the kv_rows lists from per-sequence cell bitmaps Keep a bitmap over the cells for each sequence (the transpose of `seq`), updated in seq_pos_inc/dec, and build the cell lists by walking its set bits. The lists stay in cell order, cells shared by several sequences go to every list, and nothing has to be rebuilt when cells are removed. Also leave out of the lists the cells that the SWA hides from every token of the slice (standard and chunked SWA). * cont : make get_kv_rows_

Inference systems & deploymentRead original Timeline and related coverage
05:08

AI Image Enhancement Improves Detection Of Flip-Chip Interconnect Defects (MCL, PVA TePla, ASE)

Researchers at Materials Center Leoben, PVA TePla, and Advanced Semiconductor Engineering (ASE) published “AI-Based Image Enhancement Improves Detection of Interconnect Defects in Microelectronic Packaging.” Abstract Excerpt: “Traditional failure-analysis (FA) methods face growing challenges due to the increasing miniaturization and complexity of modern semiconductor devices. In particular, the detection of cracks in the extreme low K... » read more The post AI Image Enhancement Improves Detection Of Flip-Chip Interconnect Defects (MCL, PVA TePla, ASE) appeared first on Semiconductor Engineering.

Chips, GPUs & hardwareRead original Timeline and related coverage
04:00

3D Integration Reduces Embodied-Emissions Impact Of GPU Scaling (imec, VUB)

Researchers at imec and Vrije Universiteit Brussels published “Embodied Emissions of 2.5D and 3D Scaling in Chipletized GPUs for Low-Carbon AI.” Abstract “GPU compute resources are scaling to support growing AI workloads, leading to further rises in the climate change impact of hyperscale data centers that rely on high-performance GPUs. To model how packaging decisions... » read more The post 3D Integration Reduces Embodied-Emissions Impact Of GPU Scaling (imec, VUB) appeared first on Semiconductor Engineering.

Chips, GPUs & hardwareRead original Timeline and related coverage
03:30

llama.cpp · b12058

imatrix : fix --nextn crash (#31522) **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12058/llama-b12058-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12058/llama-b12058-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12058/llama-b12058-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12058/llama-b12058-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12058/llama-b12058-bin-ubunt

Inference systems & deploymentRead original Timeline and related coverage
02:56

Anthropic clamps down on Claude’s AI video game clones

Anthropic has updated Claude Code's system prompt to prevent the AI tool from being used to recreate existing video games, as reported by Tom's Hardware. Retro gaming is currently being overrun with AI-made decompilations, recompilations, and ports, but while Anthropic will still let people use Claude Code to make games, it doesn't want people to […]

Model releases & updates# MediaRead original Timeline and related coverage
02:44

llama.cpp · b12054

ggml-zdnn: share buffers with host (#31481) Signed-off-by: Aaron Teo **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12054/llama-b12054-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12054/llama-b12054-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12054/llama-b12054-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12054/llama-b12054-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/downlo

Inference systems & deploymentRead original Timeline and related coverage
02:23

llama.cpp · b12053

ggml : use `vm_allocate` instead of `posix_memalign` on all Apple platforms (#31437) * ggml : use `vm_allocate` instead of `posix_memalign` on iOS * ggml : use vm_allocate on all Apple platforms, run test-host-buffer-release by default **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12053/llama-b12053-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12053/llama-b12053-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12053/llama-b12053-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://

Inference systems & deploymentRead original Timeline and related coverage
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