Dec 20, 2020 In Medical
Using PyTorch to streamline machine-learning projects
For many surgeons, the possibility of going back into the operating room to review the actions they carried out on a patient could provide invaluable medical insights.
Dec 17, 2020 In Medical
How theator Built a Continuous Training Framework To Scale up Its Surgical Intelligence Platform
Performing surgery is largely about decision making. As Dr. Frank Spencer put it in 1978, “A skillfully performed operation is about 75% decision making and 25% dexterity”. Five decades later, and the surgical field is finally — albeit gradually — implementing advances in data science and AI to enhance surgeons’…
Dec 2, 2020 In Research, Science
Graph Convolutional Operators in the PyTorch JIT
In this talk, scientist Lindsey Gray and Ph.D. student Matthias Fey co-examine how the challenges of High Energy Particle Physics are driving the need for more efficient research and development pipelines in neural network development. In particular, they look at the additions made to PyTorch Geometric, which allow Graph Neural…
Oct 22, 2020 In Agriculture
How Wadhwani AI Uses PyTorch To Empower Cotton Farmers
Cotton is a major fibre crop across the world, cultivated in over 80 countries with nearly 100 million families across the world rely on cotton farming for their livelihood. With such importance placed on many farmers’ crops, cotton’s particular vulnerability to pest infestations has been troubling to many. However, pest…
Oct 7, 2020 In Autonomous Driving
How Lyft Uses PyTorch to Power Machine Learning for Their Self-Driving Cars
Lyft’s mission is to improve people’s lives with the world’s best transportation. We believe in a future where self-driving cars make transportation safer and more accessible for everyone. That’s why Level 5, Lyft’s self-driving division, is developing a complete autonomous system for the Lyft network to provide riders’ access to…
Sep 30, 2020 In Medical
AstraZeneca is using PyTorch-powered algorithms to discover new drugs
Since it launched in 2017, Facebook’s machine-learning framework PyTorch has been put to good use, with applications ranging from powering Elon Musk’s autonomous cars to driving robot-farming projects. Now pharmaceutical firm AstraZeneca has revealed how its in-house team of engineers are tapping PyTorch too, and for equally as important endeavors:…
Sep 30, 2020 In Medical
Speeding up drug discovery with advanced machine learning
Whatever our job title happens to be at AstraZeneca, we’re seekers. I’m part of the Biological Insights Knowledge Graph (BIKG) team. We help scientists comb through massive amounts of data in our quest to find the information we need to help us deliver life-changing medicines.
Aug 6, 2020 In Agriculture
AI for AG: Production machine learning for agriculture
How did farming affect your day today? If you live in a city, you might feel disconnected from the farms and fields that produce your food. Agriculture is a core piece of our lives, but we often take it for granted.
Jul 17, 2020 In Media & Entertainment
How Pixar uses AI and GANs to create high-resolution content
As digital animators continue to push the boundaries of technology and creativity, the technical teams that support them are turning to artificial intelligence and machine learning to deliver the tools they need. That’s the case at Pixar, where the company has made new machine learning breakthroughs it hopes will both…
Jul 16, 2020 In Media & Entertainment
How Disney uses PyTorch for animated character recognition
The long and incremental evolution of the media industry, from a traditional broadcast and home video model, to a more mixed model with increasingly digitally-accessible content, has accelerated the use of machine learning and artificial intelligence (AI). Advancing the implementation of these technologies is critical for a company like Disney…