EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
MIT researchers' DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.
AI workloads are pushing the power demands of server racks beyond the practical limits of 48 VDC distribution. With current levels reaching several MW, data centers using traditional architectures face insurmountable power losses, making the shift toward HVDC distribution a necessity.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
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Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
A detailed engineering reference on performance, signaling, and power differences in current graphics memory standards.
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
EPFL researchers are developing AI models that could one day enable vision prosthetics able to restore meaningful, object-level sight for the blind.
A deep-dive listicle guiding controls, automation, and quality engineers toward the best vision systems for manufacturing applications in 2026.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
3 minutes read
MIT researchers' DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.
AI workloads are pushing the power demands of server racks beyond the practical limits of 48 VDC distribution. With current levels reaching several MW, data centers using traditional architectures face insurmountable power losses, making the shift toward HVDC distribution a necessity.
Learn why growing hardware teams slow down as they scale, and how aligned workflows, parallel collaboration, and real-time design visibility restore speed and momentum.
"MechStyle" allows users to personalize 3D models, while ensuring they're physically viable after fabrication, producing unique personal items and assistive technology.
How the DataComb Team is Exploring Photonic Frequency Combs to Unclog the Optical Bottlenecks of Tomorrow?
A simulation of an individual patient's brain tumors, kept up to date with readily available data, can identify whether dietary treatments and drugs are likely to work.
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Hey Tuya showcases how agentic Physical AI evolves assistants from isolated commands into systems that learn context, coordinate devices, and act reliably across real-world environments.
Nanoparticles coated with molecular sensors could be used to develop at-home tests for many types of cancer.
This episode celebrates five years of The Next Byte with a recap of 2025, highlighting standout episodes through The "Saucies" Awards, reflecting on major trends, sharing predictions for 2026, and thanking the global listener community.
Discover why manufacturing needs domain-specific AI agents and how tools like FACTUREE Navigator accelerate smarter, faster procurement decisions.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
AI-occupational therapy team leverages novel vision-language models to detect cognitive errors
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In this episode, we explore MIT's new system that turns spoken ideas into physical assemblies by linking speech-to-text, text-to-CAD, CAD-to-assembly, and robotic fabrication - pointing to a future where making hardware could be as easy as prompting an AI with your voice.
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In this episode, we speak with Vince Jesaitis (VP at Arm) who explains how AI is shifting from big data centers to everyday devices, and what that means for speed, security, and policy.
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