Advancing Genomics To Better Understand And Treat Disease
Genome sequencing can help us better understand, diagnose and treat disease. For example, healthcare providers are increasingly using genome sequencing to diagnose rare genetic diseases, such as elevated risk for breast cancer or pulmonary arterial hypertension, which are estimated to affect roughly 8% of the population. At Google Health, we’re applying our technology and expertise to the field of …
Retail Industry Reshapes With Hybrid Cloud And AI To Help Meet Shifting Consumer Shopping And Sustainability Preferences
At NRF 2022: Retail’s ‘Big Show’, the IBM (NYSE:IBM) Institute for Business Value, in association with the National Retail Federation, the world’s largest retail trade association, released their second global study*, “Consumers want it all,” which reveals rising consumer preferences for sustainability and shopping journeys splintered across multiple digital, physical, and mobile touchpoints. The new global …
BigQuery Explainable AI Now In GA To Help You Interpret Your Machine Learning Models
Explainable AI (XAI) helps you understand and interpret how your machine learning models make decisions. We’re excited to announce that BigQuery Explainable AI is now generally available (GA). BigQuery is the data warehouse that supports explainable AI in a most comprehensive way w.r.t both XAI methodology and model types. It does this at BigQuery scale, enabling millions of …
“Hey, Alexa! Are You Trustworthy?”
A family gathers around their kitchen island to unbox the digital assistant they just purchased. They will be more likely to trust this new voice-user interface, which might be a smart speaker like Amazon’s Alexa or a social robot like Jibo, if it exhibits some humanlike social behaviors, according to a new study by researchers …
How Well Do Explanation Methods For Machine-Learning Models Work?
Imagine a team of physicians using a neural network to detect cancer in mammogram images. Even if this machine-learning model seems to be performing well, it might be focusing on image features that are accidentally correlated with tumors, like a watermark or timestamp, rather than actual signs of tumors. To test these models, researchers use “feature-attribution …
Stadler Sets World Record With Battery-Operated Train
Stadler Rail’s FLIRT battery train set a world record. Image provided by Stadler Rail Stadler has set the record for travelling the longest route in battery-only mode with a regional train. Under difficult weather conditions for batteries, with wintry temperatures around freezing point and snow, the FLIRT Akku test carrier travelled exactly 224km in battery-only mode, …
Use Graphs For Smarter AI With Neo4j And Google Cloud Vertex AI
In this blog post, we’re going to show you how to use two technologies together: Google Cloud Vertex AI, an ML development platform, and Neo4j, a graph database. Together these technologies can be used to build and deploy graph-based machine learning models. The code underlying this blog post is available in a notebook here. Why should you use …
Mobileye’s Self-Driving Secret? 200PB Of Data
What’s New: Mobileye is sitting on a virtual treasure trove of driving data – some 200 petabytes worth. When combined with Mobileye’s state-of-the-art computer vision technology and extremely capable natural language understanding (NLU) models, the dataset can deliver thousands of results within seconds, even for incidents that fall into the “long tail” of rare conditions and …
How Retailers Can Meet Consumers’ Growing Demand For Sustainability And Hybrid Shopping Experiences
Consumer shopping preferences have changed greatly since the start of the COVID-19 pandemic two years ago. A new global study from the IBM Institute for Business Value (IBV) and National Retail Federation (NRF) helps quantify what I discuss with clients every day – consumer expectations have increased, and so retailers and brands must work to meet the …
MIT Researcher Explores The Downside Of Machine Learning In Healthcare
While working toward her dissertation in Computer Science, Marzyeh Ghassemi PhD ’17 wrote some papers on how machine learning techniques from AI could be applied to clinical data in order to predict patient outcomes. “It wasn’t until the end of my PhD work that one of my committee members asked: ‘Did you ever check to …