Good luck slowing this down
How tf do I write an intro to the craziness that’s happened since the end of last week?!
AI News & Strategy by Ben Bites7 min read
TensorFlow
81 stories
How to Improve Deep Learning Skills and Become Job-Ready
You can finish three deep learning courses, build a CNN, and still find yourself stuck when the same model stops working on your own dataset. Maybe changing a few parameters does nothing, the validation loss starts behaving strangely, or the model simply refuses to learn.
AI and Machine Learning Roadmaps Blog38 min readWhat is SERP analysis and how does it boost your keyword research?
Modern SEO is more than just keywords, backlinks, and technical stuff. It requires a deeper understanding of the search engine, how it displays content in the SERP and why… The post What is SERP analysis and how does it boost your keyword research? appeared first on Mangools.
AI Search Watcher Blog13 min readInforme de riesgos de la IA de frontera (febrero–marzo de 2026)
Una evaluación piloto del riesgo de despliegue no autorizado en empresas de IA de frontera. En febrero de 2026, METR inició un ejercicio piloto para evaluar riesgos de desalineación derivados de agentes de IA usados dentro de empresas desarrolladoras de IA de frontera, con la participación de…
METR404 min read前沿 AI 风险报告（2026 年 2–3 月）
2026 年 2 月，METR 开展了一项试点研究，对前沿 AI 公司在实验室内部使用 AI 智能体时可能出现的不对齐风险进行了评估。Anthropic、Google、Meta 和 OpenAI 参与了这项试点。报告正文分为三部分：
METR395 min readFrontier Risk Report (February to March 2026)
A pilot assessment of rogue deployment risk at frontier AI companies. Starting in February 2026, METR conducted a pilot exercise to assess misalignment risks from AI agents used inside frontier AI developers, with participation from Anthropic, Google, Meta, and OpenAI.
METR396 min readBack to school: the best AI programming languages to learn first
AI isn’t a specialty anymore, it’s the foundation of modern software. In this guide, Ali breaks down the best programming languages for AI in 2025 and how your choice can make or break speed, workflow, and realworld result
Pieces Blog8 min readWhat's new in TensorFlow 2.20
TensorFlow 2.20 deprecates tf.lite for LiteRT, enhances input pipeline warm-up speed, and makes installation of tensorflow-io-gcs-filesystem optional.
TensorFlow Blog3 min readmall 0.2.0
The mall 0.2.0 update for R and Python introduces support for external LLM providers like OpenAI and Gemini. This version also features parallel processing for R users, the ability to run NLP on string vectors in Python, and a brand new cheatsheet.
RStudio AI Blog4 min readWhat's new in TensorFlow 2.19
TensorFlow 2.19 has been released, including changes to the C++ API in LiteRT, the discontinuation of releasing libtensorflow packages, and more.
TensorFlow Blog2 min readIntroducing Wake Vision: A High-Quality, Large-Scale Dataset for TinyML Computer Vision Applications
Wake Vision is a new, high-quality dataset for person detection, seamlessly accessible with a single line of code via TensorFlow Datasets.
TensorFlow Blog4 min readMLSysBook.AI: Principles and Practices of Machine Learning Systems Engineering
MLSysBook.ai explores key ML systems engineering concepts and how TensorFlow tools support each stage of the machine learning life cycle.
TensorFlow Blog8 min readIntroducing mall for R...and Python
We are proud to introduce the {mall} package. With {mall}, you can use a local LLM to run NLP operations across a data frame. (sentiment, summarization, translation, etc). {mall} has been simultaneously released to CRAN and PyPi (as an extension to Polars).
RStudio AI Blog6 min readWhat's new in TensorFlow 2.18
TensorFlow 2.18 is available now, with NumPy 2.0 support, LiteRT repository, CUDA updates, Hermetic CUDA for improved build reproducibility, and more.
TensorFlow Blog3 min readUnderstanding Adversarial Attacks Using Fast Gradient Sign Method
In this tutorial, we use Gradio to examine adversarial attacks and their potential for misdirecting models towards making inaccurate predictions.
Paperspace Blog9 min readWhat's new in TensorFlow 2.17
TensorFlow 2.17 features CUDA updates for improved performance on Ada-Generation GPUs and upcoming support for Numpy 2.0. in TensorFlow 2.18.
TensorFlow Blog2 min readIntroducing Keras 3 for R
We are thrilled to introduce {keras3}, the next version of the Keras R package. {keras3} is a ground-up rebuild of {keras}, maintaining the beloved features of the original while refining and simplifying the API based on valuable insights gathered over the past few years.
RStudio AI Blog8 min readNews from the sparkly-verse
Highlights to the most recent updates to `sparklyr` and friends
RStudio AI Blog4 min read
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