News

Snap Inc. Applies for Distributed Machine Learning Patent to Accelerate Model Training and Deployment

The National Intellectual Property Administration has disclosed that Snap Inc. applied for a patent titled "Distributed Loading and Training of Machine Learning Models" in February 2024, with the ...

In Conversation With Ramakrishnan Sathyavageeswaran: Scaling Machine Learning Excellence in Enterprise Systems

The landscape of machine learning engineering has evolved dramatically over the past decade, with organizations increasingly demanding scalable, production-ready solutions that deliver measurable ...
Devdiscourse

How federated learning can transform cyber threat defense in IIoT

Federated learning provides an alternative by enabling local model training on distributed devices, with only model updates shared back to a coordinator. This design preserves privacy, reduces ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

You can get Nvidia's CUDA on three popular enterprise Linux distros now - why it matters

AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...
Devdiscourse

AI outperforms traditional models in bankruptcy forecasting

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

ModelCat™ Launches eIQ® Model Creator to Turbocharge AI Model Development for NXP Devices

ModelCat™ (formerly Eta Compute), a pioneer in agentic AI model creation, today announced the launch of eIQ® Model Creator powered by ModelCat, an exclusive version of its AI model building software ...