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We have created a multimodal large-scale data resource for Danish Lymphoid Cancer Research (DALY-CARE) including 65,000+ individuals from 13 nationwide registers + detailed electronic health record data. We collaborate with AZ who is hiring a fellow postdoc to develop medical machine learning algorithms to predict clinical outcomes on targeted therapies....

So I'm learning about deep learning and neural networks and I'm really a bit confused on this part. I'm generally familiar with the layers available and how they work (at least those that are widely used) But I'm still having a hard time trying to figure out what to use on what. Is there a more logical or a systematic way of doing this? like mathematically...

Code: https://github.com/lnairGT/creative-problem-solving-LLMs The code provided in this repository prompts LLMs (image + text prompts) to identify creative object replacements (object substitution) when the required objects are missing, e.g., substituting a bowl for a scoop. This work shows that prompts that are augmented with relevant object features...

I am looking for a more clear explanation of ow value prefix works in efficient muzero. Does the value prefix completely replace the reward predictions or if not how are they working together? Is the value prefix meant to predict future values or past? At what exact MCTS step is the value prefix used? To me it seems that it should be used in backpropagaion,...

Companies care about what you can do for them with high regard to profit. A typical software engineer's value in my opinion is that: They can deliver code fast They're smart enough i.e. they are extremely expendable, which is something you never want to be. Are data scientists as expendable as software engineers? What makes a data scientist irreplaceable...