transcranial

Hence why time tends to slow down while living in the moment rather than reminiscing or dwelling on the past.

It does say "temporarily offered at a discount" when you hover over the model in the dropdown.

As a collective endeavor to seek out higher truth, maybe some amount of fraud is necessary to train the immune system of the collective body, so to speak, so that it's more resilient in the long-term. But too much fraud, I agree, could tip into mistrust of the entire system. My fear is that AI further exacerbates this problem, and only AI itself can handle wading through the resulting volume of junk science output.

As a former radiology resident, I totally agree. That's why we're building exactly this: https://md.ai/product/reporting/.

MD.ai | Full-stack and Devops/Infrastructure Engineers | New York, NY or REMOTE (US only) | Full-Time | https://md.ai

MD.ai helps doctors, scientists, and engineers build medical AI that have potential to improve patient care and outcomes. Our overarching goal is to accelerate medical AI development, deployment, and validation. We provide software tools to enable large-scale collaborative dataset curation and annotation as well as model deployment and federated clinical validation, with a particular focus on medical imaging. Our software platform is used by top academic medical institutions as well as large pharmaceutical and healthcare companies.

We're looking for talented full-stack and infrastructure/devops engineers interested in ML/AI and healthcare to join our growing team. You'll have an opportunity to take on significant ownership over product and code, help drive our engineering culture, and really make an impact. Our tech stack includes: React, TypeScript, WebGL, PostgreSQL, Redis, Python, PyTorch, Kubernetes, Terraform, AWS/GCP/Azure.

Full-Stack Software Engineer | https://boards.greenhouse.io/mdai/jobs/4011987005

Lead Infrastructure Engineer | https://boards.greenhouse.io/mdai/jobs/4011991005

MD.ai | Summer Interns (for Front-End/Full-Stack Engineering) | Remote

We are a medical AI development platform (https://www.md.ai), currently focused on medical imaging (radiology). We help build high-quality labeled datasets for both training and clinical validation, as well as provide tools and infrastructure for deploying and running models at scale. Some of our unique challenges include: operating in HIPAA-compliant environments, working with large medical imaging/text/genomic datasets, managing machine learning model lifecycles, and building complex web applications with UI/UX appealing to both doctors and engineers alike.

We currently have availability for summer interns with experience with JavaScript/TypeScript/React/GraphQL/DICOM.

Please email us directly at [email protected].

MD.ai | Summer Interns (for Front-End/Back-End/Machine Learning Engineering) | Remote We are a medical AI development platform (https://www.md.ai), currently focused on radiology/pathology/dermatology. We help build high-quality labeled datasets for both training and clinical validation, as well as provide tools and infrastructure for deploying and running models at scale. Some of our unique challenges include: operating in HIPAA-compliant environments, working with large medical imaging/text/genomic datasets, managing machine learning model lifecycles, and building complex web applications with UI/UX appealing to both doctors and engineers alike.

We currently have availability for summer interns with skills in React, GraphQL, Kubernetes, Docker, Terraform, GCP/AWS/Azure, TensorFlow/PyTorch, or medical imaging.

Please email us directly at [email protected].

Same here. Poetry has been a joy, after many bouts of frustration with pipenv.

MD.ai | Software Engineer | Full-time | New York, NY / Seattle, WA | Onsite OR Remote (USA only)

We are a medical AI development platform (https://www.md.ai), currently focused on radiology/pathology/dermatology. We help build high-quality labeled datasets for both training and clinical validation, as well as provide tools and infrastructure for deploying and running models at scale. Some of our unique challenges include: operating in HIPAA-compliant environments, working with large medical imaging/text/genomic datasets, managing machine learning model lifecycles, and building complex web applications with UI/UX appealing to both doctors and engineers alike.

We are currently looking for front-end developers (React, GraphQL) and software engineers experienced in devops/cloud technologies (Kubernetes, Docker, Terraform, GCP/AWS/Azure).

Please email us directly at [email protected].

DeBakey performed his last surgery at age 90 [1], pioneered numerous procedures -- including one performed on himself at age 97 [2], and continued to practice medicine until his death at age 99. Remarkable person, but obviously an outlier. Just thought it would be interesting to bring him up in this thread.

[1] https://www.telegraph.co.uk/news/obituaries/2403698/Michael-...

[2] https://www.nytimes.com/2006/12/25/health/25surgeon.html

MD.ai | Front-end / Full-stack Engineer | New York, NY (NYC) | Full-time | ONSITE | https://www.md.ai

We are a medical machine learning platform helping doctors and researchers build medical AI. Our focus is on creating high-quality labeled datasets for training and clinical validation, and building tools for model development, training, deployment and validation. Some of our unique challenges include: operating in HIPAA-compliant environments, managing huge medical imaging/text/genomic datasets, distributed data processing and machine learning model training, and building complex web applications with UI/UX appealing to both doctors and engineers alike.

We're currently looking for highly motivated front-end or full-stack engineers (React/Vue/GraphQL) to join our growing team.

Please email us directly at [email protected].

MD.ai | Front-end Engineer, Summer Interns | New York, NY | Full-time | ONSITE or REMOTE | https://www.md.ai

We are a medical machine learning platform helping doctors and researchers build medical AI, with the ultimate goal of improving patient care. We help build high-quality labeled datasets for both training and clinical validation, as well as tools for model deployment and execution. Some of our unique challenges include: operating in HIPAA-compliant environments, managing huge medical imaging/text/genomic datasets, distributed data processing and machine learning model training, and building complex web applications with UI/UX appealing to both doctors and engineers alike.

We're looking for awesome front-end engineers (React/Vue/GraphQL), maybe that's you? Experience with devops (Docker/Kubernetes/GCP/AWS), machine learning (Tensorflow/Keras), and anything healthcare-related are definite pluses.

Please email us directly at [email protected].

MD.ai | Front-end/Full-stack/DevOps Engineers | New York, NY | Full-time | ONSITE or REMOTE | https://www.md.ai

We are a medical machine learning platform helping doctors and researchers build medical AI, with the ultimate goal of improving patient care. We help build high-quality labeled datasets for both training and clinical validation, as well as tools for model deployment and execution. Some of our unique challenges include: operating in HIPAA-compliant environments, managing huge medical imaging/text/genomic datasets, distributed data processing and machine learning model training, and building complex web applications with UI/UX appealing to both doctors and engineers alike.

We're currently hiring front-end engineers (React/Vue/GraphQL) and full-stack/devops engineers (Docker/Kubernetes/GCP/AWS). Experience with machine learning (Tensorflow/Keras) is definitely a plus. Experience in medicine or healthcare is preferred.

Please email us directly at [email protected].

MD.ai | Front-End Engineer | New York, NY (NYC) | Full-time or Part-time | ONSITE or REMOTE | https://www.md.ai

We are a medical machine learning platform helping doctors and researchers build medical AI, with the ultimate goal of improving patient care. We help build high-quality labeled datasets for both training and clinical validation, as well as tools for model deployment and execution. Some of our unique challenges include: operating in HIPAA-compliant environments, handling of huge medical imaging/text/genomic datasets, managing machine learning model lifecycles, and building complex web applications with UI/UX appealing to both doctors and engineers alike.

Looking for: experienced React/Vue/GraphQL developers, or junior developers eager to learn. Experience or interest in medical imaging, medical informatics, or machine learning is definitely a plus but not a requirement.

Please email us directly at [email protected].

Here's a recent follow-up paper [1] testing exactly that on many diverse datasets, positing that scale-free (power-law distributed) networks are actually not that common in the real world. Quanta has a nice article about it [2].

[1] https://arxiv.org/abs/1801.03400

[2] https://www.quantamagazine.org/scant-evidence-of-power-laws-...

MD.ai | Machine Learning Engineer, Front-End / Full-Stack Engineer | New York, NY (NYC) | Full-time or Part-time | ONSITE

We're building a medical machine learning platform encompassing the entire model development cycle, from the creation of high-quality labeled datasets to model training/validation/deployment. We want to help enable clinicians and researchers to more easily and efficiently build medical AI, ultimately with the goal of improving patient care. Some of our challenges include operating in HIPAA-compliant environments, handling of huge medical imaging datasets, managing ML training workloads, building complex web applications with UI/UX appealing to both doctors and ML engineers alike.

Our stack: Python, JavaScript, React, Vue, GraphQL, Postgres, Docker, Kubernetes, TensorFlow, Keras

If interested, please introduce yourself at [email protected].

Here's an old Nautilus article talking about exactly your point about the social element: http://nautil.us/issue/28/2050/why-futurism-has-a-cultural-b...

See https://webgl2fundamentals.org/webgl/lessons/webgl2-whats-ne... for an overview of new (well, to WebGL at least) features.

Direct texel lookups and the expanded texture formats has been amazing for using WebGL 2 for GPGPU purposes.

I recently discovered this awesome presentation on generative music: https://teropa.info/loop

Yeah, my first thought was the latter interpretation. Got excited for a moment that we may someday be able to cure sleep (kidding, of course -- sleep is glorious).

GraphQL has been a breath of fresh air -- you can tell a lot of thought went into its design and implementation.