Bridging SAP And Non-SAP Analytics: Building A Unified Data Ecosystem

As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...
IEEE

A 28nm 1.644TFLOPS/W Floating-Point Computation SRAM Macro with Variable Precision for Deep Neural Network Inference and Training

Abstract: This paper presents a digital compute-in-memory (CIM) macro for accelerating deep neural networks. The macro provides high-precision computation required for training deep neural networks ...
IEEE

ECIM: Exponent Computing in Memory for an Energy-Efficient Heterogeneous Floating-Point DNN Training Processor

Abstract: The authors propose a heterogeneous floating-point (FP) computing architecture to maximize energy efficiency by separately optimizing exponent processing and mantissa processing. The ...
ET CIO

From Dashboards to Decisions: Inside ET CIO’s ‘Data & Analytics in the Agentic Era’

Discover the insights from the ET CIO virtual summit on 'Data & Analytics in the Agentic Era.' Learn how intelligent ...
IEEE

DLFloat: A 16-b Floating Point Format Designed for Deep Learning Training and Inference

Abstract: The resilience of Deep Learning (DL) training and inference workloads to low-precision computations, coupled with the demand for power-and area-efficient hardware accelerators for these ...
IEEE

Efficient Deep Neural Network Training With a Novel 5.3-Bit Block Floating Point Data Format

Abstract: Low-bit-width data formats offer a promising solution for enhancing the energy efficiency of Deep Neural Network (DNN) training accelerators. In this work, we introduce a novel 5.3-bit data ...
IEEE

Learning Accurate and Stable Point-to-Point Motions: A Dynamic System Approach

Abstract: This letter proposes a dynamic system approach to learn point-to-point motions while keeping the stability of the dynamic system. The proposed approach is grounded on a Learning from ...
GitHub

Google ADK Training Hub

Build production-ready AI agents tutorials that solve real problems. You're here because AI agents are transforming software development, and you want practical skills you can use at work tomorrow.