kevinalexbrown

5 ms·

1.
by kevinalexbrown 2mo ago
It’s ok to mourn the loss of a frontier and also support the thing driving that loss. The way it looks, the generation of mathematical results will become less and less of a human endeavor. There’s a way that’s sad even if on the whole it i
2.
by kevinalexbrown 4mo ago
"tell me about biology" -> "Switched to Opus 4.8"
3.
The Patient Is Not a Document: Moving from LLMs to a World Model for Oncology(blog.standardmodel.bio)
1 points by kevinalexbrown 9mo ago|0 comments
4.
by kevinalexbrown 10mo ago
Building the fndamental human patient representation: https://standardmodelbio.substack.com/p/the-patient-is-not-a... The patient is not a document - multimodal foundation models for biomedicine. JEPA's working we
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The Patient Is Not a Document: Moving from LLMs to a World Model for Oncology(blog.standardmodel.bio)
7 points by kevinalexbrown 10mo ago|1 comments
6.
by kevinalexbrown 11mo ago
Standard Model Bio | various | Full-Time | ONSITE SF or Philadelphia | Hybrid we're building the standard model for bio. We're doing for biology what mathematics did for physics. papers this month: genomics - https://a
7.
by kevinalexbrown 1y ago
building the standard model for bio: https://standardmodelbio.substack.com/p/introducing-standard... We're pretty jazzed.
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by kevinalexbrown 5y ago
Yes and this response has also become a trope. It’s generically universal to nearly any early result.
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by kevinalexbrown 5y ago
The QZ article is narrowly correct but widely misleading. It almost willfully ignores the momentum and direction. In reality, radiologists will not be summarily replaced one day. They will get more and more productive as tools extend their
10.
by kevinalexbrown 7y ago
Siemens Healthineers Imaging Intelligence | https://www.siemens-healthineers.com | Malvern, PA (Greater Philadelphia) | INTERNS | Onsite Our R&D group delivers medical image/text tools (e.g. deep learning, NLP, etc) for
11.
by kevinalexbrown 7y ago
Siemens Healthineers Imaging Intelligence | https://www.siemens-healthineers.com | Malvern, PA (Greater Philadelphia) | INTERNS | Onsite Our R&D group delivers medical image/text tools (e.g. deep learning, NLP, etc) for
12.
by kevinalexbrown 7y ago
If you find this kind work interesting, our AI group at Siemens Healthineers is hiring interns to carry out projects like this. We typically target machine learning or medical imaging PhD students, but are open to a variety of backgrounds.
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by kevinalexbrown 7y ago
Siemens Healthineers Imaging Intelligence | https://www.siemens-healthineers.com | Malvern, PA (Greater Philadelphia) | INTERNS | Onsite Our R&D group delivers medical image/text tools (e.g. deep learning, NLP, etc) for
14.
by kevinalexbrown 7y ago
I read the original study. I have a few thoughts. My partner is a physician and I am an AI researcher working in medicine. I think a lot about doctors as machine learning models, and RCT results like loss terms in a complicated objective fu
15.
by kevinalexbrown 7y ago
It's funny, I was thinking that Inbox did this nicely, and of course he did that too.
16.
by kevinalexbrown 8y ago
Some medical devices also have other net cost benefits though. For example, shorter, less intensive hospital stays from less invasive testing.
17.
by kevinalexbrown 8y ago
Dr Khullar suggests that AI will exacerbate biases in medical practice. His fundamental concern is that machine learning will codify biases and become self-fulfilling prophesies. But there is scant evidence that AI will worsen these dispa
18.
by kevinalexbrown 9y ago
His writing is somewhat tongue in cheek. For whatever it’s worth, he seems to be a dedicated teacher who posts self criticisms of his courses publicly online. The course this book is based on has grown quite successful as well. I’m not sure
19.
by kevinalexbrown 9y ago
The packages-first attitude feels significant to me. A language that “users” enjoy but package developers also enjoy seems important. I hadn’t thought about language choice from a heavily package-development weighted perspective before. It
20.
by kevinalexbrown 9y ago
This is an important point, but one I feel the article acknowledges well. There are many impossibility problems that can be solved by relaxing some constraints (like wait-free) or by accepting some unsolvability (we don’t worry too hard abo
21.
The Stories Behind a CV: Growing Up in Science(science.sciencemag.org)
1 points by kevinalexbrown 9y ago|0 comments
22.
by kevinalexbrown 9y ago
Because the article just offers a single example, and seems to center on the lack of available tenure track positions, I'm going to take a more holistic view that gets at the major issue: is current research funding at the appropriate
23.
by kevinalexbrown 9y ago
I'm more curious about the byproducts and energy consumption of each manufacturing process. I have no idea, does anyone have a good comparison? Aside: supposedly global pulp production is 34 percent recycling, 45 percent from sawmill w
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Inside the Algorithm That Tries to Predict Gun Violence in Chicago(nytimes.com)
4 points by kevinalexbrown 9y ago|0 comments
25.
by kevinalexbrown 9y ago
I remember once from undergrad the saying '"obvious" is the most dangerous word in mathematics.' Seeing how something could be true is dramatically different from identifying and defending that it is true. It's
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by kevinalexbrown 9y ago
But the evidence supports the idea that social isolation induces measurable changes in behavior and neural activity. And you can definitely make causal inferences if you don't understand everything. If that weren't true, you would
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by kevinalexbrown 9y ago
I'm not sure that's true here. They went further than showing a correlation between two traits. They directly manipulated the pre-alcohol state (alone, or with other crayfish), and measured whether that change outcomes in behavior
28.
by kevinalexbrown 10y ago
A friend of mine from academia was considering going into industry, so went to some data science meetups. Someone was giving a presentation about convolutional networks, yet did not know what a convolution was. At first I was startled, bu
29.
by kevinalexbrown 10y ago
Hi Eric, I haven't read the paper in depth yet, but we've discussed it some as a lab. I love the concept, but I'm a little perplexed by something I hadn't thought of when we first discussed it. It looks like many analyse
30.
by kevinalexbrown 10y ago
I don't think anyone really claims that all you need is the wiring diagram, even those who really want to see a connectome. Then again, I stay away from philosophical debates about the connectome. Everyone who's paying attention u

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