If your run critical web-facing infrastructure and you are not burning tokens to test for security holes what are you even doing
COMPUTING
-
Multimodal Hexapod Robot Adapts Locomotion to Any Terrain
By
–
Multimodal Hexapod #Robot Switches Locomotion Modes to Adapt to Any Terrain
— Ronald van Loon (@Ronald_vanLoon) 12 avril 2026
via @ZappyZappy7#Robotics #EmergingTech #Technology #Innovation #TechForGood pic.twitter.com/DEVyTek5isMultimodal Hexapod #Robot Switches Locomotion Modes to Adapt to Any Terrain via @ZappyZappy7 #Robotics #EmergingTech #Technology #Innovation #TechForGood
→ View original post on X — @ronald_vanloon, 2026-04-12 00:20 UTC
-
When GPUs Were Only Used for Gaming
By
–
Do you guys remember when people used GPUs to play video games? LOL, that was fun.
-
SpaceX Raptor 3 Engines: Next Generation Rocket Propulsion
By
–
Look at those beautiful Raptor 3 engines!
-
Smart Sensor Technology: Essential Reading for IoT Professionals
By
–
@IotDesperados @Xavier_Porter1 @PaulFogoros @IIoT_World @CRudinschi @agentic_factory Worth reading for anyone working on smart sensor technology.
-
Search box improvement through stable economic implementation
By
–
if it works stably and economically they can put it in the search box. what’s there is utter garbage.
-
The Future of Sports: Immersive 3D Technology Revolutionizes
By
–
The future of sports is immersive. We can already reproduce entire games in 3d, track every player down to their pose and heartbeat – but barely any of that makes it to your living room.
— Bilawal Sidhu (@bilawalsidhu) 11 avril 2026
Here’s everything you need to known about 3d sports tech. pic.twitter.com/YTwD7rHhfOThe future of sports is immersive. We can already reproduce entire games in 3d, track every player down to their pose and heartbeat – but barely any of that makes it to your living room. Here's everything you need to know about 3d sports tech. [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-11 21:54 UTC
-
MQTT QoS 2 latency bottleneck in industrial sensor networks
By
–
MQTT protocol overhead becomes the bottleneck at industrial scale. Each QoS 2 message requires four network round-trips to confirm delivery, creating latency walls that sensor networks cannot break through.
-
MQTT QoS Latency Limits Industrial IoT Sensor Networks
By
–
MQTT QoS 2 with 125ms latency caps at 4 messages per second. QoS 1 caps at 8. For a plant with thousands of sensors updating every second, that math breaks fast. Partner content with @skkynetinc. #HM26 #skkynet_ai pic.twitter.com/20zoDHb79w
— Lucian Fogoros (@fogoros) 11 avril 2026MQTT QoS 2 with 125ms latency caps at 4 messages per second. QoS 1 caps at 8. For a plant with thousands of sensors updating every second, that math breaks fast. Partner content with @skkynetinc
. #HM26 #skkynet_ai -
Semantic Tagging Enables AI Understanding of Industrial Sensor Data
By
–
Semantic tagging provides the context AI models need to understand what a voltage reading actually means. Without knowing the asset, operating context, and grid topology position, models are processing numbers without meaning. Partner content with @IOTechSystems. #iotechsys_iiot pic.twitter.com/kr94pAhnAc
— Lucian Fogoros (@fogoros) 11 avril 2026Semantic tagging provides the context AI models need to understand what a voltage reading actually means. Without knowing the asset, operating context, and grid topology position, models are processing numbers without meaning. Partner content with @IOTechSystems
. #iotechsys_iiot