Artificial Intelligence plays an increasingly significant role in our life. It is enabling humans to reach what was once regarded as pure sci-fi, deeply impacting all areas of development. AI systems …

Automated investing has brought an immense amount of stability to the market, but it has also brought predictability. Garrett Lander and Al Kari examine if an adversarial network can game the behavior of automated investors by learning the patterns in market activity to which they are most vulnerable.

It's hard ignore the attention given to autonomy and robotics. The impact is significant and the reach is extensive, hitting transportation with self-driving cars, logistics and supply with mobile robots, and remote sensing applications with aerial vehicles or drones. Raffaello D'Andrea explores how autonomous indoor drones will drive the next wave of autonomous robotics development and growth.

The emphasis in AI is on replicating human performance. Examples abound: ImageNet, self-driving cars, etc. Its the same in medicine. Daniel Russakoff explains how Voxeleron LLC is working on whats nextAI algorithms that do things that humans cant, such as the prediction of age-related macular degeneration (AMD) progression, critical to successful treatment of this leading cause of vision loss.

PlusAI is developing a full stack self-driving technology to enable large-scale autonomous commercial fleets. Hao Zheng examines some of the unique challenges across different layers of the technology stack of building an autonomous truck that's both safe and efficient and dives into how PlusAI is addressing them.

Machine learning applications balance interpretability and performance. Linear models provide formulas to directly compare the influence of the input variables, while nonlinear algorithms produce more accurate models. Eitan Anzenberg explores a solution that utilizes what-if scenarios to calculate the marginal influence of features per prediction and compare with standardized methods such as LIME.

The open source definition is over 20 years old. Cloudera and Hortonworks have completed their all-stock merger of their software companies. Major companies in the open source ecosystem are being snap …

Martial Hebert offers a brief overview of current challenges in AI for robotics and a glimpse of the exciting developments emerging in current research.

Self-driving cars are bringing the cloud to the most mundane of locations the city parking lot. But this brings density and network congestion challenges as these cars demand access to mobile networ …

Cruise has been working on self-driving cars for six years and growing exponentially for most of that time. Two years ago they started using Kubernetes, betting on namespace-level multitenancy to prov …

Through its exponential growth, the Platform team at Cruise experienced a networking self-driving journey. We scaled our network across numerous clusters, multiple tenants, and multiple thousands of n …