Serenitech Ltd

 Tiny Electronic Nose Rivals Animal Scent Detection! 🐕 Imagine a world where robots can sniff out danger, locate survivors in disasters, or even hunt for truffles with the precision of our furry friends. Well, that world just got a lot closer to an innovation in electronic smell technology! The electronic nose is about the size of a credit card. The potential applications of this technology could have a significant impact on various fields: 🌍 Early Wildfire Detection: Drones with these e-noses patrol forests, detecting small smoke plumes before they become serious problems. This could save countless acres of forest, and wildlife and prevent massive carbon dioxide emissions. 🌍 Disaster Response: In the aftermath of earthquakes or building collapses, these olfactory robots could quickly scan complex environments, detecting human scent signatures and guiding rescue teams to survivors trapped under debris. 🌍 Environmental Monitoring: From detecting gas leaks to identifying pollutants, these devices could play a crucial role in keeping our environment safe and clean. 🌍 Food and Agriculture: Who knows? We might even see these e-noses helping to locate those elusive truffles or assessing the ripeness of fruits and vegetables! #TechInnovation #ArtificialOlfaction #Robotics #DisasterResponse #EnvironmentalTech #LinkedInLearning

Are you confident in your ability to spot a liar? Fun Fact of the day - we only get it right 50% of the time. Can AI outperform humans in detecting deception? Could this lead to a new era of hyper-honest humans? Would this technology remove our trust in others? Riccardo Loconte explores applying Artificial Intelligence to the detection of lies. Rama Akkiraju (NVIDIA) outlines the considerations for building useable Chatbots. Read how Vít Růžička used Artificial Intelligence to locate Global methane gas leaks from a device deployed to the International Space Station. Finding it hard to get an interview? Hilke Schellmann some of the ways that she tested Artificial intelligence CV candidate screening and that the technology is just not doing justice. Raia Hadsell of Google DeepMind shares the success of Alphafold and GenCast - could we model Earth? Ramin Hasani outlines how Liquid AI's Liquid Foundation Model (LFM) is faster than traditional LLMs, multimodal and ready to run on edge devices. And finally, the final speaker at TEDAI - Jürgen Schmidhuber outlines the exploration of space by self-replicating Artificial Intelligence that has surpassed human capability. #ArtificialIntelligence #TEDAI #AI #HumanEvolution #FutureTrends #LieDetection #AIForGood https://lnkd.in/eB2Fm75c

Lovely to meet Selena Deckelmann TEDAI Vienna

We created perfume with Artificial Intelligence - Thankyou #everyhuman & #bold for a really interesting experience at #TEDAI

A new integer addition algorithm, developed at Cornell University could reduce the energy needs of AI by 95%. The popularity of Large Language Models (LLMs) has rapidly increased the demand for electricity in data centres. Advancements in algorithm efficiencies are just one way to help reduce this increase in energy consumption. Read more about how it works and LLM energy consumption: https://lnkd.in/ebXdFpgC