Science
New Machine Learning Resources
Machine learning engineers need tools and data to help fight the Covid-19 pandemic. Here are some that crossed our radar screen last week.
Analytics DeepLearning.AI
Letters
Covid-19 and the Shift to Online Learning
I spoke on Tuesday at Coursera’s annual conference. It was the company’s most well-attended conference yet, and the first to be held online. Higher education is in for turbulent times.
The Batch Newsletter
The Batch: AI Versus Covid Wake-Up Call, Straight Poop from a Smart Toilet, Sharper Image Inputs, Predicting Farm Yields
I spoke on Tuesday at Coursera’s annual conference. It was the company’s most well-attended conference yet, and the first to be held online. Higher education is in for turbulent times. With campuses shut down indefinitely...
Tech & Society
Data — From Patient to Health Record: AI automatically fills out electronic health records.
Doctors are overwhelmed by clerical work. Healthcare-savvy voice assistants are picking up the slack.
Science
Treatment — The Elusive Molecule: How deep learning could speed up drug discovery
Will deep learning discover new medicines? Startups — and big-pharma partners — are betting on it. The problem: In theory, there’s a pharmacological cure for just about any ailment. In practice, discovering those therapies takes years and billions of dollars.
Tech & Society
Prognosis — Early Warning for Sepsis: AI can provide an early warning for sepsis.
An AI-driven alarm system helps rescue patients before infections become fatal. The problem: Machine learning can spot patterns in electronic health data indicating where a patient’s condition is headed that may be too subtle for doctors and nurses to catch.
Tech & Society
Diagnosis — The Telltale Heart: How a company is using AI to monitor hearth health
The wearable revolution is helping doctors figure out what’s troubling your ticker — thanks to deep learning. The problem: Arrhythmias, a range of conditions in which the heart beats too fast, too slow, or erratically, can cause heart attack or stroke.
Interviews & Essays
A Visionary Doctor Prescribes AI: Dr. Eric Topol makes the case for AI in medicine.
Eric Topol is one of the world’s leading advocates for AI in medicine. Below he shares his insights into the fusion of AI and medicine and advice for machine learning engineers who want to get involved.
Letters
Medical Applications of AI
This week’s issue of The Batch is all about medical applications of AI. Amid the current pandemic, the marriage of AI and medicine is more urgent than ever. My father is a practicing doctor, and I grew up seeing firsthand how the right...
The Batch Newsletter
The Batch: AI For Medicine Special! Eric Topol’s Planetary Health System, Discovering Drugs, Diagnosing Heart Disease
This week’s issue of The Batch is all about medical applications of AI. Amid the current pandemic, the marriage of AI and medicine is more urgent than ever. My father is a practicing doctor, and I grew up seeing firsthand how the right...
Science
(Science) Community Outreach: A survey of machine learning from Eric Schmidt
Are your scientist friends intimidated by machine learning? They might be inspired by a primer from one of the world’s premier tech titans. Former Google CEO Eric Schmidt and Cornell PhD candidate Maithra Raghu school scientists in machine learning in a sprawling overview.
Machine Learning Research
Outside the Norm: Batch normalization contributes to neural network accuracy.
Batch normalization is a technique that normalizes layer outputs to accelerate neural network training. But new research shows that it has other effects that may be more important.