Read the lost thesis of Dennis Ritchie, creator of the C programming language & co-creator of Unix: https://
bit.ly/RitchiePhD Ritchie never got his PhD b/c he didn't want to pay Harvard the thesis binding fee. (v/
@IEEESpectrum
)
COMPUTING
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Dennis Ritchie’s Lost PhD Thesis Now Available Online
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Humanoid Robot with Medical-Grade Silicone Skin for Interaction
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Soft Yet Strong: Humanoid #Robot with Medical-Grade Silicone Skin Built for Real-World Interaction
— Ronald van Loon (@Ronald_vanLoon) 17 avril 2026
via @ZappyZappy7
#Robotics #Engineering #Innovation #Technology pic.twitter.com/H0COV6saHxSoft Yet Strong: Humanoid #Robot with Medical-Grade Silicone Skin Built for Real-World Interaction
via @ZappyZappy7 #Robotics #Engineering #Innovation #Technology -
Cerebras and Cognition fastest inference event Miami
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Join @cerebras and @cognition at @AIEMiami After Party on Tuesday April 21 to meet the team behind the world's fastest inference. RSVP link in comments. Be sure to catch Head of DevX @MilksandMatcha
's talk on latency debt if you're at AIE! -
Edge AI Microscopy System Tracks Paramecium for 5+ Hours
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5 hours 49 minutes. That's how long one live Paramecium was tracked continuously by an unattended edge AI microscopy rig built by Winkoms Open Microscopy.
— Axelera AI (@AxeleraAI) 17 avril 2026
A Metis M.2 running YOLOv8-seg, steering a motorised XY stage to keep a single microorganism centered in the field of view.… pic.twitter.com/hJOGoGDtB35 hours 49 minutes. That's how long one live Paramecium was tracked continuously by an unattended edge AI microscopy rig built by Winkoms Open Microscopy. A Metis M.2 running YOLOv8-seg, steering a motorised XY stage to keep a single microorganism centered in the field of view.
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Supply Chain Risk in AI: Understanding the Implications
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But wait…….. Supply Chain Risk? How does that work?
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Windows Development Challenges: Team Works Without Definitive Timeline
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windows is a pretty hard problem to solve, team is working on it – but we don't a have a definitive timeline yet
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Codex Hackathon with Wearables Track Proposal
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you should organise a codex hackathon and make wearables a track – down to support it! cc: @gabrielchua ^^
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ChopGrad: Efficient Deep Learning Training Through Gradient Simplification
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ChopGrad: Making Training More Efficient by Cutting Gradient Complexity
— Satya Mallick (@LearnOpenCV) 17 avril 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore ChopGrad, a novel technique aimed at improving the efficiency of training deep learning models by selectively simplifying gradient… pic.twitter.com/U2Ik6CGGAMChopGrad: Making Training More Efficient by Cutting Gradient Complexity In this episode of Artificial Intelligence: Papers and Concepts, we explore ChopGrad, a novel technique aimed at improving the efficiency of training deep learning models by selectively simplifying gradient
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Convolution Kernels: Blurring, Sharpening, Edge Detection Explained
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Blurring. Sharpening. Edge detection.
— Satya Mallick (@LearnOpenCV) 17 avril 2026
They ALL come down to one operation: convolution.
Here's a 60-second visual breakdown of how a kernel slides across an image to produce filters — pixel by pixel.
If you're learning CV, bookmark this.#ComputerVision #Convolution… pic.twitter.com/YhqgsaRmcUBlurring. Sharpening. Edge detection.
They ALL come down to one operation: convolution.
Here's a 60-second visual breakdown of how a kernel slides across an image to produce filters — pixel by pixel.
If you're learning CV, bookmark this.
#ComputerVision #Convolution