A developer walked through building and training a neural network in code using tf.keras.Sequential, describing an input layer, three Dense hidden layers with ReLU activation, and a 3-neuron softmax o…
A Generative Adversarial Network (GAN) consists of two neural networks — a Generator that turns random noise into fake data and a Discriminator that outputs the probability a sample is real — trained …
A practical guide demonstrates transfer learning with MobileNetV2 in Keras, using a frozen pretrained base plus a new Dense(5) output layer to classify 3,670 flower photos across five categories (rose…
A developer published a public machine learning learning repository covering the stack from NumPy to Transformers, built over 5 months with daily commits. The repo's notebooks span classical ML with s…
Filippo De Simoni, an MSE Computer Science student at SUPSI, presented a 2026 bachelor thesis project on automatic parallelization of C programs that achieves speedups comparable to ad hoc paralleliza…
Extropic, a Boston-based hardware startup, is hiring junior ML scientists for its Thermo ML Resident program, offering a salary of $75,000–$200,000 per year for on-site work. Residents will collaborat…
A blog post from the Keras team highlights the growing role of deep learning in astroparticle physics, where observatories spanning thousands of square kilometers generate massive datasets that tradit…
A Keras model file is executable code, not data, because its config can carry marshalled CPython bytecode via Lambda layers, and Keras's safe_mode has been bypassed repeatedly, with CVEs including CVE…
AIsbom v1.3.0, a tool for scanning ML model artifacts, now flags Keras Lambda layers and embedded code objects as CRITICAL, without unmarshalling payloads. The tool also detects ONNX external-data pat…
A developer's analysis of low-precision AI formats in mid-2026 shows that FP8 and FP4 have become essential for efficient large-scale AI training and inference. The report details how FP8 formats (E4M…
JFrog's Software Supply Chain State of the Union 2026 reports that 53% of organizations pull AI models directly from public registries, where researchers identified roughly 495 malicious models capabl…
The Ultimate Python and Artificial Intelligence Bundle, featuring 9 courses on data pre-processing, visualization, artificial neural networks, and the Keras framework, is on sale for $40 through the T…
A college student built FocusFleet, a drowsy driver detection system that uses MediaPipe to track 468 facial landmarks and a custom-trained Keras model to monitor eye closure and yawning, triggering a…
A practical tutorial on LSTM interpretability demonstrates how to preprocess time-series data into a 3D tensor, build a stacked LSTM model with dropout and early stopping, and apply permutation import…
A developer demonstrates how to train an LSTM on daily temperature data and apply three explainability methods—permutation importance, SHAP, and Integrated Gradients—to interpret the model's predictio…
A five-course free roadmap from Harvard, Google, and other organizations teaches AI from classical algorithms to training LLMs from scratch, requiring only basic Python knowledge. The curriculum begin…
Canary ML, a new open-source Python library, provides drift and anomaly detection for production machine learning models built with scikit-learn and Keras/TensorFlow. The tool offers a drop-in wrapper…
A developer published a Keras-based implementation of the LeNet-5 convolutional neural network architecture, originally proposed by Yann LeCun in 1989 for handwritten digit recognition. The implementa…
Vinton Cerf, known as a 'father of the internet' for co-developing TCP/IP, is retiring from his role as Google's chief internet evangelist after more than 20 years. The 83-year-old made the announceme…
A developer built NEXUS, a production-grade review intelligence engine that brings Amazon-style AI-generated review summaries to any dataset. The system uses a custom deep bidirectional LSTM baseline …