Neurons’ Post

In celebration #Scienceweek, here in the UK , we're excited to have Georgia Ionescu, PhD discuss her research on the impact of dataset size on technical performance of deep learning models for detection and quantification of lymphomatous disease, a topical subject in #AI . #Science and #innovation is at the core of what we do here at Mirada. We work with organizations to continuously push technological boundaries for the betterment of future patient care. Watch this short video to learn more about this #research https://lnkd.in/esJrkhCT

Understanding AI through neuroscience

It's that time of year! If you're heading to Vienna for ICLR, don't miss out on these 11 posters and spotlights from MIT Jameel Clinic - AI & Health researchers on topics ranging from molecular docking to vision-language generative models! We have your #ICLR2024 agenda covered from May 7 to May 11, so save this post for future reference and catch the next wave of cutting-edge research findings shaping the future of AI. Which ones are you most excited to learn more about? #aiforgood #aiforhealth #healthcareinnovation #machinelearningsolutions

Healthtech and AI Executive Advisor Christian Hein sits down with Dr. Amar Drawid, to discuss the use of generative AI in the life sciences, its transformational potential, and the current challenges that need to be addressed. Listen Now - https://lnkd.in/gxykipBV

Save the date! 📆 Thursday 7th March 2024 - 12:00pm - 13:30pm. Our AI in Physiological Sciences Webinar will have 3 fantastic speakers, each from a different area of physiological science. Find out more out their backgrounds on our event page and also to register! 👇 https://buff.ly/3vBKmmY Don't miss what will be a fascinating session on AI! #PhysiologicalSciences #Webinar #AHCS

🎙️📢 Exciting news! Just published a thought-provoking blog post on the intersection of #AI and neuroscience in Explainable AI (XAI), delving into the path towards Artificial Brain. The post discusses the evolution of XAI methodologies, their applications in diverse domains, and the challenges in achieving explainability in generative models. It further explores the potential convergence of XAI with cognitive sciences and the quest for Human-Like Intelligence in AI systems. Dive into the world of AI and human cognition here: https://bit.ly/3uD7Bgc

Giving back to community!! I am excited to share that I’ve been invited to serve as a reviewer for NeurIPS 2024! It’s an honor to contribute to this prestigious conferences in AI. I am looking forward to peer review cutting-edge research and connecting with fellow experts in the field! Thank you to the NeurIPS committee for this opportunity! #AI #MachineLearning #NeurIPS2024 #datascience #datascientists #deeplearningresearch

For those interested in the consciousness problem debate, especially in view of the emerging importance of AI, I recently recommended THE FOUR REALMS OF EXISTENCE by Joseph E. Ledoux. I would also further recommend ARTIFICIAL YOU - AI AND THE FUTURE OF YOUR MIND by Schneider Susan , Director of the Centre for the Future Mind. This is a very interesting and measured approach on whether conscious AI is really possible and what may be the parameters of human brain enhancement. Puzzles which until recently belonged to Science Fiction may soon become pressing real life questions. Susan Schneider offers valuable guidance.

“We think of remembering as imagining the past based on #concepts, combining some stored details with our expectations about what might have happened. Humans need to #MakingPredictiond to survive (e.g. to avoid danger or to find food), and the AI networks suggest how, when we replay memories while resting, it helps our brains pick up on #patterns from past experiences that can be used to make these #predictions.”

There is nothing quite like seeing your work referenced while sitting in the audience at ECTRIMS 2024! With this in mind, we thank Associate Professor Tim Spelman from the Karolinska Institutet, who referenced the work of our own, Courtney Kremler, in his presentation this morning. Courtney - using cutting-edge AI tools from the Cambridge Centre for AI in Medicine - had shown that routinely collected pre-treatment data can predict the risk of relapse in people with multiple sclerosis (MS) starting different treatments. Tim's talk, titled "Relevance of machine learning in real-world evidence studies", was part of Hot Topic 8: Use of artificial intelligence in MS, and certainly contributed to it being a great session! #ECTRIMS2024 #artificalintelligence #machinelearning #multiplesclerosis