Latest updates for Tensorflow

Fresh curated links around TensorFlow are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Peking University and StepFun Unveil TensorCast: A Programmable Tensor Management Layer That Cuts LLM Time-to-First-Toke
  • Dice Object Detection Using an RCNN-Inspired Deep Learning Model with TensorFlow
  • TensorFlow vs PyTorch: The Real Difference Isn’t Accuracy

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pandaily.com /3 weeks ago

Peking University and StepFun Unveil TensorCast: A Programmable Tensor Management Layer That Cuts LLM Time-to-First-Toke...

Peking University, StepFun, and Beijing University of Posts and Telecommunications propose TensorCast, a unified programmable tensor lifecycle management abstraction for large mode...

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medium.com /1 month ago

Dice Object Detection Using an RCNN-Inspired Deep Learning Model with TensorFlow

Learn how to build an object detection system that locates and classifies dice using CNN-based feature extraction, bounding box regression…Continue reading on Medium »

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dzone.com /1 month ago

TensorFlow vs PyTorch: The Real Difference Isn’t Accuracy

A few days ago, I set out to build a simple image classification model using convolutional neural networks (CNNs). The task itself wasn’t particularly complex, but choosing the rig...

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marktechpost.com /1 month ago

Designing High-Performance GPU Kernels with TileLang: Tensor-Core GEMM, Fused Softmax, FlashAttention, and Autotuning

Explore TileLang, a high-level Python domain-specific language that simplifies the design of high-performance GPU kernels. This tutorial provides a step-by-step approach to impleme...

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marktechpost.com /1 month ago

Accelerating Transformer Training with NVIDIA Transformer Engine, Fused Kernels, BF16, FP8, and GPU Benchmarking

Discover how to optimize transformer workloads using the NVIDIA Transformer Engine. This tutorial guides you through configuring fused GPU kernels, implementing FP8 delayed scaling...

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dzone.com /1 week ago

Orchestrating CNN Training and Inference Workflows With Temporal

Convolutional neural network workloads rarely fail because the forward pass is mathematically difficult. They fail because modern training and inference pipelines are distributed s...

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computerra.ru /1 month ago

«Турбо Облако» предлагает модели с контекстом до 1 млн токенов и 753 млрд параметров

Источник: Компьютерра - Журнал о науке и технологиях Российский облачный провайдер «Турбо Облако» (входит в группу компаний РТК-ЦОД) сообщил о расширении своего каталога Foundatio...

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proandroiddev.com /1 month ago

On-Device AI Series (Part 4): LiteRT

Full tensor-level control for custom machine learning models on Android.Continue reading on ProAndroidDev »

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marktechpost.com /1 week ago

Google AI Releases TimesFM-3: A 330M Parameter Zero-Shot Foundation Model For Multivariate Time Series Forecasting

Google Research has released TimesFM-3, a 330 million parameter time series foundation model that forecasts multiple related series in a single forward pass. Unlike every TimesFM c...

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dev.to /2 weeks ago

jina-embeddings-v4 as an OpenAI-Compatible Embeddings Server

jina-embeddings-v4 is a self-hosted server for the jina-embeddings-v4 embedding model with an OpenAI-compatible /v1/embeddings endpoint. It runs on a single NVIDIA GPU. An applicat...

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elnacional.com /3 weeks ago

Así es Gemini 3.7 Flash, el nuevo modelo de IA de Google

Este nuevo modelo genera código de mejor calidad al primer intento, es superior en depuración y destaca en tareas avanzadas de desarrollo al obtener en FrontierCode 1.1 y DeepSWE v...

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medium.com /1 month ago

Algoritmaları Donanımla Buluşturmak: Colab Üzerinde Learning Rate ve Batch Size Deneyleri ☁️

Veri Bilimi Bootcamp yolculuğumuzda, pandas ile verileri temizlemek ve scikit-learn ile temel makine öğrenmesi modelleri kurmak işin…Continue reading on Medium »

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dev.to /1 month ago

One TPU Chip, Eight Agents: Serving Small Agent Workloads with Raw JAX

Cloud TPU v6e-1 (ct6e-standard-1t, one v6e chip, 32 GB HBM), GCE flex-start, europe-west4-a. vLLM baseline measured 2026-07-21. The workload nobody benchmarks Serving b...

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dev.to /1 week ago

TF-IDF: A matemática dos anos 70 que expõe a farsa do seu RAG de milhões

Nos últimos artigos da série, cobrimos desde a geometria da busca vetorial e os custos astronômicos de infraestrutura até a criação de Evals automatizados no CI/CD com a Tríade do...

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dev.to /4 weeks ago

Running an AI image upscaler & sharpener 100% in the browser (TensorFlow.js)

I wanted to sharpen and upscale images without uploading them to some server. It turns out you can run the whole ML model right in the browser — the image never leaves the device....

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medium.com /1 month ago

Deep Math

Matemática de Machine Learning, Deep Learning e Inteligência Artificial explicada de forma intuitiva, formal e gráfica.Continue reading on Medium »

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runet.news /1 month ago

ByteDance разрабатывает ИИ-модель с 10 трлн параметров

ByteDance работает над новой моделью искусственного интеллекта, объём которой может достигать 10 трлн параметров. Об этом сообщает Ferra. «Если оценка подтвердится, система будет б...

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3dnews.ru /1 week ago

Tencent надоело быть аутсайдером китайской ИИ-гонки — её новая модель обошла Kimi и GLM

Tencent выпустила модель искусственного интеллекта, которая, по словам разработчика, в проведённых им тестах превзошла результаты флагманских моделей от Z.ai и Moonshot, Китайский...

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pandaily.com /1 week ago

Tencent Hunyuan Releases Hy4 Preview, Ranking Among the Top Tier of Open-Source Models

On August 28, Tencent Hunyuan released and open-sourced Hy4 preview, its next-generation large language model with 770 billion total parameters and a context window exceeding 1 mil...

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dev.to /3 weeks ago

AI专用芯片御三家:Celebras vs Groq vs Taalas(今天的主角)

https://www.youtube.com/watch?v=_OoB3WxBQq0 这期由基地发布的视频,深度剖析了 AMD 在 2026 年 8 月收购芯片初创公司 Taalas 及其推出的 HCE(Hardcoded Engine) 芯片背后的技术细节与商业...

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cloud.google.com /1 week ago

Introducing TabFM in BigQuery: Predictive analytics reimagined

Historically, enterprise predictive analytics tasks such as predicting churn, purchase intent, or fraud scoring have meant building custom models using libraries like XGBoost, Rand...

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feeds.dzone.com

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3dnews.ru

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cloudblog.withgoogle.com

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dev.to

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medium.com

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medium.com

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