OUTDATED ELECTRICITY METERING means a comparative lack of efficiency, accuracy, and even grid reliability. This not only places pressure on the bottom line for utilities but directly impacts the everyday lives and budgets of communities and households desperate for stable yet affordable power.
OUTDATED ELECTRICITY METERING means a comparative lack of efficiency, accuracy, and even grid reliability. This not only places pressure on the bottom line for utilities but directly impacts the everyday lives and budgets of communities and households desperate for stable yet affordable power.
Article #6 of Confronting AI Series: AI's rapid evolution has outpaced regulation. In this Q&A, Jared Bowns explores how adaptive frameworks, accountability, and ethical oversight can help engineers manage the risks and responsibilities of building trustworthy AI systems.
Article #5 of Confronting AI Series: Smart ML on embedded systems demands efficiency under tight memory, compute, and latency constraints. Techniques like pruning, quantization, low-rank decomposition, and federated learning enable compact, fast, and reliable models for edge intelligence.
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!
16 minutes read.
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From simple sensor control to connected, intelligent devices, embedded systems often outgrow a single MCU. Pairing an MCU with Linux adds power and flexibility, but also introduces communication challenges, dual development workflows, and increasing software complexity.
This article explores how automated CI/CD pipelines replace fragile manual build processes with reproducible, auditable workflows that improve compliance, reduce defects, and accelerate development in regulated embedded systems
CMU researchers develop software that turns subtle skin changes into trackable data
for the always-connected world
Mario Mauerer, maxon's Global Business Development Manager, Robotics, discusses what it takes for robotic deployments to be successful in complex real-world environments.
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.
OUTDATED ELECTRICITY METERING means a comparative lack of efficiency, accuracy, and even grid reliability. This not only places pressure on the bottom line for utilities but directly impacts the everyday lives and budgets of communities and households desperate for stable yet affordable power.
4 minutes read
Article #6 of Confronting AI Series: AI's rapid evolution has outpaced regulation. In this Q&A, Jared Bowns explores how adaptive frameworks, accountability, and ethical oversight can help engineers manage the risks and responsibilities of building trustworthy AI systems.
Article #5 of Confronting AI Series: Smart ML on embedded systems demands efficiency under tight memory, compute, and latency constraints. Techniques like pruning, quantization, low-rank decomposition, and federated learning enable compact, fast, and reliable models for edge intelligence.
The PhysicsGen system, developed by MIT researchers, helps robots handle items in homes and factories by tailoring training data to a particular machine.
This summer, EPFL and ETH Zurich will release a large language model (LLM) developed on public infrastructure. Trained on the "Alps" supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM marks a milestone in open-source AI and multilingual excellence.
4 minutes read
An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.
Article #4 of Confronting AI Series: AI's rapid rise brings transformative potential and serious risks; without transparency, regulation, education, and justice, unchecked deployment may entrench bias, erode trust, and harm society more than it helps.
Vision-driven, multi-arm robotics are set to transform the factory itself into a configurable product, capable of switching from one assembly task to the next with a software update instead of a hardware rebuild. Learn more now in our latest report.
A new 3D simulation tool developed by ETH and SLF researchers now allows for significantly more accurate predictions of complex alpine mass movements, supporting alpine risk management.
6 minutes read
Article #3 of Confronting AI Series: Discover how data centers tackle AI's surging energy needs, from renewable energy adoption to advanced cooling technologies and sustainable practices for a greener, smarter future.
Article #2 of Confronting AI Series: AI can enhance decisions and refine processes, yet organizations are hesitant to integrate it. Boosting trust through education, clear policies, transparent models, and improved human-AI collaboration will encourage wider adoption.
Manufacturers of such IoT products face a tough challenge: how do they provide customers with uninterrupted global coverage in the absence of ubiquitous cellular IoT service?
4 minutes read
'Link-bots' can move, explore, cooperate without sensing or computation
3 minutes read
Unlike traditional software applications, where user actions have immediate and predictable results, CV workflows introduce inherent conceptual and interaction complexities that require a different UX approach.
A novel framework offers accurate water flow predictions and simulations with unprecedented efficiency
6 minutes read
