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Redefining Robotics: Next Generation Warehouses
People picture robots changing to look more like humans, but in reality, the evolution of robotics involves things you can’t actually see. For Bastiane Huang at Osaro, the development of robots means greater advances in autonomy. Building brains for robots gives them more flexibility for tasks and creates more... Read more
Generating Neural Networks to Detect Alzheimer’s
AI is showing so much promise in the medical field. It’s an excellent example of how AI combines with human intelligence to create a “super brain” capable of predicting disease, uncovering patterns, and testing solutions for persistent problems. Precision Medicine is a medical nonprofit using this super combination of... Read more
10 Things Learned From Deploying AI in Human Environments
Deploying AI in human environments requires some finesse, unlike the pure environments you often encounter in school. Cameron Turner of Datorium is an expert at blending the world of business with AI deployment and is here to tell us ten things he’s learned so far.  [Related Article: How to... Read more
Scaling Humans With AI
One of the most persistent problems within many fields is the lack of communication. We have access to vast amounts of data, but all that information is siloed. You have so many different systems and hundreds of ways to access various pieces of data, but nothing really communicates. AI... Read more
Most Data-Driven Cultures… Aren’t
For Cassie Kozyrkov, Chief Decision Scientist at Google, reducing the instances of errors in statistics is the top priority. Many organizations think of themselves as data-driven, but in reality, it’s at the mercy of good leadership at your organization. If your organization isn’t good at getting and using data,... Read more
Taking Your Machine Learning from 0 to 10
Madhura Dudhgaonkar is the senior director of Machine Learning at Workday Inc. She believes that it’s possible to deploy machine learning within your enterprise, but it takes a few steps to get exactly right. She loves to get into unknowns and things we haven’t tried yet, but let’s look... Read more
Deep Learning is Not Always the Best Solution in Education
Building AI models in education seems like a slam dunk. Educators and Edtech companies are so eager to make use of this new technology that sometimes the resulting product misses the mark. Deep learning has a place in education, but to make the best use of these types of... Read more
Why Effective and Ethical AI Needs Human-Centered Design
Data science is about a half-century old in the way we think of it now, but with the advent of AI, we’re reaching a precipice of how we want to model our AI initiatives. Moving forward with not just effective but ethical AI, we need a human-centered design principle.... Read more
Exploring the Deep Learning Framework PyTorch
There are a variety of open-source deep learning frameworks to choose from including Keras, TensorFlow, Caffe2, and MXNet among others. At ODSC West in 2018, Stephanie Kim, a developer at Algorithmia, gave a great talk introducing the deep learning framework PyTorch. Primarily developed by Facebook, PyTorch enables a suite... Read more
Watch: Beyond the Hype. Real Companies Doing Real Business with AI
AI – everyone is talking about it but who is actually doing it (and generating business results). This session takes an industry by industry perspective on true AI adoption disambiguating the hype from the reality, the theoretical from the practical and the research labs from ROI—real companies doing real... Read more