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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
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
EvoMapAgents & 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
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
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
ClipDropImages & editing

Clipdrop is a suite of AI-powered image creation and editing tools, covering background removal, local cleanup, image enlargement, upscaling, relighting, text removal, and background replacement. It allows users to process images directly in the browser and also provides developers with an API for integrating these capabilities into their applications.

常用AI图像工具待评分 · 分类列表推荐View details
AssemblyAIMusic & audio

AssemblyAI is a speech AI platform for developers, offering pre-recorded, real-time, and short-form synchronous transcription APIs. It enables the building of voice-based applications by integrating capabilities such as speaker identification, emotion analysis, chapter and summary extraction, as well as speech agent functionality, dictation, and sensitive information processing.

AI AUDIO TOOL待评分 · 分类列表推荐Pricing unverifiedView details
My Glow Up AILife & personal

My Glow Up AI provides free analysis based on selfies, without requiring registration, and can generate hairstyle recommendations and beauty plans that suit you.

待评分 · 分类列表推荐Pricing unverifiedView details
妙播Marketing & commerce

THE AI LIVE TELECOM SOLUTION FROM THE AD

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AI, as it happens

1264 published stories
Models · 14 storiesClear filters ×
2026-10-30
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14:01

NVIDIA has released the large-scale speech transcription model Nemotron 3.5 Transcribe, which can accurately recognize speech even when eight people speak simultaneously.

NVIDIA has officially open-sourced its new large-scale speech transcription model, Nemotron 3.5 Transcribe. Designed for professional voice processing, this model leads the industry in key metrics such as multilingual transcription accuracy, long-audio handling, and multi-speaker separation. It employs a Mixture of Experts (MoE) architecture with approximately 34 billion total parameters, activating only a subset of these parameters during each forward pass to enhance efficiency. Overall, it provides a new open-source option for professional speech transcription.

Model releases & updatesRead original Timeline and related coverage
2026-10-28
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23:00

Nvidia releases all-in-one adaptable Nemotron 3.5 audio transcription and translation model

Nvidia Corp. today released a leaderboard-winning open artificial intelligence model for multilingual audio transcription and translation, along with an open data pipeline for fine-tuning Nemotron 3.5 Transcribe. Traditional transcription AI models follow a workflow that detects speech, transcribes it, identifies and labels different speakers, then answers questions about the transcription. Transcribe does all of this […] The post Nvidia releases all-in-one adaptable Nemotron 3.5 audio transcription and translation model appeared first on SiliconANGLE.

Model evaluations & benchmarksRead original Timeline and related coverage
2026-10-27
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2026-10-26
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12:00

Toward Open ISA Supercomputing: A Comparative Study of RISC-V, Arm, and x86 Architectures on HPC Workloads

arXiv:2610.32632v1 Announce Type: new Abstract: RISC-V is emerging as a candidate architecture for high-performance computing (HPC), but its competitiveness against established x86 and Arm processors remains difficult to assess because existing studies use different platforms, workloads, and methodologies, and rarely consider energy efficiency. Our work provides an evaluation of contemporary HPC RISC-V, Arm, and x86 processors using a common software stack and methodology. We characterize the Sophgo SG2044 and compare it with the NVIDIA Grace CPU Superchip and Intel Xeon Platinum 8480+ across four HPC benchmarks (STREAM, HPL, HPL-MxP, and HPCG) and four representative applications (iPIC3D, PLUTO, OpenFOAM, and llama.cpp). The version of HPL-MxP linked to OpenBLAS built and used for this wo

Model evaluations & benchmarksRead original Timeline and related coverage
2026-10-22
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13:00

Several leading financial institutions in Europe have adopted open-source large models to build proprietary intelligent systems.

At the GTC Berlin conference, European financial institutions including Revolut, Starling Bank, Lloyds, and Santander announced that they are building production‑grade AI capabilities based on NVIDIA’s accelerated computing platform and open‑source weight models—such as PRAGMA, the Nemotron series, and the Kumo family—covering core use cases like trading analytics, speech recognition, fraud detection, and data pipeline acceleration, while emphasizing data sovereignty, cost control, and compliant deployment.

Open models & weights# OfficialRead original Timeline and related coverage
13:00

NVIDIA Cosmos Platform Upgrade: New Toolchain for Training, Evaluating, and Deploying World Models

NVIDIA has expanded the Cosmos platform by introducing the Cosmos Data Factory blueprint, the Cosmos Framework training optimization tool, and the Cosmos 3 NIM microservice, supporting multimodal data generation, adaptation to open-source world models (such as GR00T and QWEN), and low-latency inference; real-world applications have already been deployed by Porsche, ANYbotics, Ultralytics, ADNOC, and others.

Model releases & updates# OfficialRead original Timeline and related coverage
13:00

Several European institutions have deployed the NVIDIA Earth-2 open-source model to advance localized weather and climate prediction applications.

NVIDIA has released the Earth-2 open-source AI model family for Europe, including the region-specific nowcasting model StormScope EU, and is collaborating with organizations such as AXA, Vaisala Xweather, the University of Manchester, and TotalEnergies to conduct real-world validation, covering tasks like storm risk assessment, air quality modeling, solar power generation forecasting, and radar terrain inversion.

Open models & weights# OfficialRead original Timeline and related coverage
13:00

NVIDIA’s open-source models are helping to bring AI projects in the public sector to fruition across multiple European countries.

NVIDIA, in collaboration with governments and technology partners across multiple European countries, is advancing sovereign, controllable AI applications—leveraging open-source large models such as Nemotron and synthetic persona datasets—in Germany, Poland, the United Kingdom, France, Greece, and other nations. These efforts span areas including medical image analysis, employment services, digital government assistants, classified information processing, and localized language modeling.

Open models & weights# OfficialRead original Timeline and related coverage
2026-10-21
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20:00

Mistral partners with NVIDIA to advance AI-native engineering workflows, releases Mistral Large 4, and jointly develops physical and agent-based AI evaluation benchmarks.

Mistral and NVIDIA announced a deepened collaboration, integrating Mistral’s Large 4 model, physics-based modeling pipelines, and NVIDIA’s accelerated computing stack (CUDA-X, Warp, Omniverse) to co-develop AI-native engineering workflows for industries such as aerospace, automotive, and semiconductors. The two parties will jointly release open-source datasets and public evaluation benchmarks, covering the assessment of agent capabilities in physics-informed AI and CAE/EDA use cases.

Model releases & updates# OfficialRead original Timeline and related coverage
18:30

NVIDIA’s European cloud partners are accelerating the expansion of sovereign, open, and secure AI infrastructure.

NVIDIA announced that its cloud partners across Europe, the Nordics, Africa, and Central Asia are scaling up regional AI computing infrastructure based on the NVIDIA DSX platform, focusing on sovereign computing (local deployment), open model support (such as Mistral Large 4 and the Nemotron series), and AI agent security boundaries (via the OpenShell reference architecture), covering use cases including training, inference, physics‑based AI, and retail agents.

Model releases & updates# OfficialRead original Timeline and related coverage
18:00

NVIDIA releases a portfolio of open-source models across multiple domains, driving the development of sovereign AI in European industries.

NVIDIA announced the expansion of its open-source model family to encompass areas such as language, robotics, bioinformatics, and quantum computing, unveiling the Nemotron 3.5 series, the Kumo structured-data model, the Cosmos world model, the Alpamayo 2 Edge autonomous-driving model, the BioNeMo RFD4-Proteina protein-design model, and the Ising quantum-computing model. All these models are now available to developers and enterprises, with access to weights and tools, supporting localized customization and independent deployment.

Open models & weights# OfficialRead original Timeline and related coverage

NVIDIA releases Kumo Relational: the first foundation model for structured data that outperforms supervised learning without any training.

NVIDIA has launched Kumo Relational, a pre-trained relational foundation model that can perform predictive tasks—such as churn prediction, fraud detection, and demand forecasting—directly on enterprise‑grade relational databases, without the need for task fine-tuning, feature engineering, or table flattening. In 41 benchmark tests spanning 15 databases, it outperformed supervised models like XGBoost across the board, and on the SAP SALT enterprise benchmark, its MRR metric surpassed AutoGluon by 8%. The model supports databases with up to 500 billion rows and enables zero‑code predictive queries via Predictive Query Language (PQL).

Model evaluations & benchmarksRead original Timeline and related coverage
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