AI (Artificial Intelligence) Experiments with Google are similar to mini games that showcase how AI can easily memorize patterns that it is coded to memorize and recognize these patterns very quickly. This is known as machine learning. For example, you can draw something and have the AI guess it for you (quite quickly) or you can listen to 14000 different sounds…or 14000 different bird sounds! Our volunteer, Youssef, showcases this with a couple of experiments. He will show you how to access and try them, and even make one yourselves – just watch the short video guide below! Check out… Read More »Google AI Experiments – An Online Hands-On Activity
1) Emoji competition: It can be a challenge to distil our projects right down but can be so helpful when communicating our science! What better way of doing this than simplifying right down into emoji form? If you want to take part all you need to do is: Summarise your project/research in emoji form- use as few words as you can and get creative! Don’t get too technical or use jargon if you can avoid it! Post it on twitter using the hashtag #LwSEmoji during April (if you ‘at’ us @livescientists we will retweet your post!) Have a go at… Read More »LIVE with Scientists Anniversary Month: Get Involved!
SOLD OUT! – Watch LIVE on YouTube Tickets to join the Zoom meeting for the event have sold out but you will still be able to watch it live, or catch up on the event through our LIVE with Scientists YouTube page. —– Bacterial antibiotic resistance is on the rise globally, threatening modern medicine as we know it. Nearly every medical procedure, from cancer treatment and organ transplantation to hip or joint replacement, is dependent on effective antibiotics. This British Science Week, join LIVE with Scientists in collaboration with Antibiotic Research UK (ANTRUK) for a live webinar on antibiotic resistance. Hear… Read More »Antibiotic Resistance Webinar – LIVE with Scientists and ANTRUK
LIVE streaming at YouTube 18:30 (UK time), 16 February 2021. Summary: ‘The development of autonomous robots would be a significant accomplishment for society. Autonomous robots require the ability to learn from interaction: to try new actions, observe success and failure, and tie effects back to causes. In this talk I will describe how we can create robots that learn through interaction. Instead of being programmed to complete a task, such learning robots can figure out the right way to accomplish the task on their own. I’ll further discuss how my own research aims to develop robots that can learn in… Read More »LIVE Talk | Robots Learning in Simulation | 18:30 (UK time), 16 February 2021.
LIVE streaming at YouTube 18:30 (UK time), 8 February 2021. Summary: ‘My research investigates all aspects of how electronics interface with biology, particularly for wearable devices and personal health monitoring. This involves hardware – making electronics which can flex and stretch so that they better connect to the body. It also involves software – making artificial intelligence which can make sense of body signals, even in the presence of lots of interference (from devices which don’t connect very well to the body). In the Q&A session, I would like to talk about future directions in wearable technology, from the engineering… Read More »LIVE Q&A | Where Next With Wearables | 18:30 (UK time), 8 February 2021.
When I decided to study Electrical Engineering at university, I hadn’t thought much about what would come next. Spending my days as a first year undergraduate hearing about abstract electromagnetic theory seemed about as dull a subject as I could possibly imagine. Given the choice I would always have picked a soldering iron and a few hours in the lab over learning Biot-Savart Law or Gauss’ law. How on earth could Maxwell’s Equations, published circa 1861, possibly be of any use to me (or anyone?!) in the future? Somehow, a few years later, I found myself once again caught up… Read More »Sensing the Unknown: Using Electromagnetism to Find Hidden Objects – Dr Liam Marsh