This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!
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Engineers Wiki. Most Asked Questions.
What is SCADA?: The Basics you Need to Know
By Shreyas Sharma.
17 minutes read.
NPU vs GPU: Understanding the Key Differences and Use Cases
By Ravi Rao.
13 minutes read.
RAG vs Fine-Tuning: Differences, Benefits, and Use Cases Explained
By Ravi Rao.
18 minutes read.
LLM Training: Mastering the Art of Language Model Development
By Ravi Rao.
30 minutes read.
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ORGANIZATIONS. SHAPING THE INDUSTRY.
Nordic Semiconductor
Semiconductors
Nordic Semiconductor is a fabless semiconductor company specializing in wireless technology that powers the IoT.
181 Posts
High Tech Campus Eindhoven
High Tech
High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
49 Posts
ETH Zurich
University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
43 Posts
University of Michigan
Higher Education
Work together. Create smart machines. Serve society. University of Michiga...
40 Posts
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TAGGED WITH embedded software
Semi Off-The-Shelf Hardware: The Missing Link in IoT
The landscape of IoT development is evolving rapidly, and staying ahead requires more than just technical know-how, it demands a strategic shift in how we approach building connected devices.
Discover how no-code/low-code platforms are transforming embedded development by enabling rapid prototyping and deployment with minimal coding. Explore tools like LabVIEW, Node-RED, and XOD that simplify IoT, automation, and industrial system design.
Teams that are looking at alternative programming languages have two options today: Ada and Rust. Both languages raise the bar in terms of safety and security
TAGGED WITH robot operating system (ros)
event | DEC 10 - DEC 10, 2025
Join Prof. Fei Chen as he explores advanced bimanual manipulation and teleoperation techniques shaping the future of intelligent human-like robots in this expert-led robotics session.
'Link-bots' can move, explore, cooperate without sensing or computation
This article is part 4 of a 4-part article series on TDK's advanced robotics.
The ETH spin-off Flink Robotics wants to revolutionize the handling of packages. Its founders Moritz Geilinger and Simon Huber have developed software that allows robots to work together and quickly take on new tasks.
Latest Posts
Associate Professor Luca Carlone is working to give robots a more human-like awareness of their environment.
NPUs are integrated units that excel in real-time AI tasks on edge devices like smartphones and IoT systems with low power consumption. TPUs are standalone processors designed for large-scale AI workloads in data centers, delivering exceptional performance in deep learning tasks.
Advanced wearable devices enable the wearer to track their BP around the clock, without having to attend their health professional or grapple with a clunky home BP monitor.
3 minutes read
Texas A&M University is creating advanced mapping technologies to further the evolution of autonomous vehicles.
3 minutes read
Learn how agnostic systems like Awentia's No-Data Vision Foundation Model addresses key barriers to AI adoption such as data dependency, cost, and complexity across industries like agriculture, robotics and manufacturing.
This article is for everyone who’s – at least – slightly worried about what will happen to their deployed NB-IoT devices in the US, or abroad. Let’s explore the potential scenarios and actionable mitigation plans to minimize risks.
4 minutes read
EPFL researchers have developed 4M, a next-generation, open-sourced framework for training versatile and scalable multimodal foundation models that go beyond language.
4 minutes read
Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.
The nRF54L series from Nordic Semiconductor provides a versatile, ultra-low-power SoC toolkit for IoT developers, enabling enhanced battery life, seamless connectivity, and faster prototyping, positioning it as the foundation for next-generation IoT development.
GPUs excel in parallel processing for graphics and AI training with scalability, while NPUs focus on low-latency AI inference on edge devices, enhancing privacy by processing data locally. Together, they complement each other in addressing different stages of AI workloads efficiently.
A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.
The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests.
Researchers at Stanford Engineering have developed an AI-trained model to accurately recreate the hand movements of elite-level pianists and the physical stresses they endure while playing.
4 minutes read
According to , the global AI robotics market will reach $17 billion in 2024 and will keep growing by 24% annually. Today, robots deliver packages, conduct geological surveys, and entertain visitors of parks and exhibitions – however, that’s not the limit of their abilities.
5 minutes read
Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking.
4 minutes read
