
Aji Ghose
@ai_modeller
VP, Data Science & Research (NLP) @ChattermillAI | AI/ML, Semantics | 🤖 PhD Computational Cognitive Science | MSc Computer Science
ID: 708975377193017344
13-03-2016 11:17:56
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Can we enhance interoception by controlling the heart? Thrilled to share our new study, led by Ashley Tyrer, where we use computational modeling to show that blockading peripheral noradrenaline uniquely alters awareness of heart rate & breathing! biorxiv.org/content/10.110… 🧵👇 pic.x.com/uMz9rXYglH





Jeff Dean Yes I can; as can you. But I'm primarily interested in what's widely available in the community, where a single 4090 GPU machine is already a very rich investment. Remember also that 3090s were the last consumer card with nvlink, so 4090 and 5090 cards aren't good at multi gpu

Out last week in CogSci Society! Sam Forbes and I ”urge extreme caution in the use of LLMs in classrooms lest we further normalize: pupils losing their privacy, reducing contact between learner and educator, deskilling teachers & polluting the environment”‼️ PDF/DOI links below.







Jürgen Schmidhuber True, but these CNNs were not trainable. AFAIK Yann LeCun is the one training CNNs for the first time.

Jürgen Schmidhuber JFPuget 🇺🇦🇨🇦🇬🇱 Yann LeCun The Neocognitron was trainable, but not via backpropagation. It used analogue threshold units, not ReLU, sigmoid, or tanh. CNNs became scalable and trainable with backpropagation, notably through LeNet.


