Three passions, simple but overwhelmingly strong, have governed my life: the longing for love, the search for knowledge, and unbearable pity for the suffering of mankind. These passions, like great winds, have blown me hither and thither, in a wayward course, over a great ocean of anguish, reaching to the very verge of despair.
I have sought love, first, because it brings ecstasy - ecstasy so great that I would often have sacrificed all the rest of life for a few hours of this joy. I have sought it, next, because it relieves loneliness--that terrible loneliness in which one shivering consciousness looks over the rim of the world into the cold unfathomable lifeless abyss. I have sought it finally, because in the union of love I have seen, in a mystic miniature, the prefiguring vision of the heaven that saints and poets have imagined. This is what I sought, and though it might seem too good for human life, this is what--at last--I have found.
With equal passion I have sought knowledge. I have wished to understand the hearts of men. I have wished to know why the stars shine. And I have tried to apprehend the Pythagorean power by which number holds sway above the flux. A little of this, but not much, I have achieved.
Love and knowledge, so far as they were possible, led upward toward the heavens. But always pity brought me back to earth. Echoes of cries of pain reverberate in my heart. Children in famine, victims tortured by oppressors, helpless old people a burden to their sons, and the whole world of loneliness, poverty, and pain make a mockery of what human life should be. I long to alleviate this evil, but I cannot, and I too suffer.
This has been my life. I have found it worth living, and would gladly live it again if the chance were offered me.
Good points. I look forward to some benchmarks. Just hoping for an alternative to Nvidia sooner than later. Dreaming apple will solve it and offer a 1.5 TB mac pro.
It’s all about the RAM. 64GB would allow input of larger image sizes and/or nets with more parameters. Right now, the consumer card with the most RAM is the rtx 3090 which is only 24GB, and in my opinion overpriced and inefficient in terms of wattage (~350W). Even the ~$6000 RTX A6000 cards are only 48GB.
Any thoughts on the value proposition if/when >= 64 GB RAM will be available on apple silicon? Even if the chips are relatively slow, the extra RAM could be worth it.
I too am curious how 64 GB unified memory performs for training deep learning models. Even if speed isn't amazing, 64 GB is much greater than the 24 GB available in Nvidia's flagship consumer cards, which would allow for inputting larger images, bigger batch sizes, deeper networks etc. Also, will be interesting to see how all of the different cores are used.
The PHC Data Science Imaging group seeks a talented and motivated Imaging Data Scientist to join us in supporting the efforts of the Personalized Healthcare (PHC) Group. To aid in the development of novel imaging biomarkers in PHC and their potential use in clinical drug development, the RWD Imaging Group at Roche is responsible for generating and executing plans to: (1) curate and analyze clinical imaging data from Roche’s late stage (Ph3) clinical trials, and (2) devise plans to gain access to (and analyze) clinical imaging data from a RWD setting (e.g., health registries, hospital systems, etc.).
The position requires extensive cross functional collaborations working with a diverse team of clinical subject matter experts, data- and imaging scientists, statisticians, and IT staff. Your responsibilities will primarily support image analysis efforts within the group, focusing especially on applying Machine- and Deep Learning approaches to oncology-, neuroscience-, and ophthalmology projects. In addition to developing and applying novel, data-driven approaches to solving RWD image analysis challenges, the position requires the Imaging Data Scientist to work closely with clinical imaging data management group to deploy, maintain and integrate computational solutions. The job will utilize and build on your experience in scientific/medical imaging, data and image management, application of novel statistical and machine learning approaches to `big data’, software development, and scientific data transfers.
Responsibilities:
Collaborate with internal imaging- and data scientists and external vendors to derive and validate novel imaging biomarkers in support of clinical drug development and RWD evidence (payer support) generation
Identify and gain access to external RWD imaging data sources
Curate/clean/organize large and messy clinical imaging datasets
Identify and support imaging data management solutions within PHC
Continually search for opportunities to automate workflows and streamline processes
Support and contribute to the development of advanced analytics and computational tools