Tag: faang

Livermore, Calif., renowned for research and vineyards, is plowing in a new distinction: the birthplace of the first commercially available smart tractor. Local startup Monarch Tractor has announced the first of six Founder Series MK-V tractors are rolling off the production line at its headquarters. Constellation Brands, a leading wine and spirits producer and beer …

Read more “Cheers to AI: Monarch Tractor Launches First Commercially Available Electric, ‘Driver Optional’ Smart Tractor”

In this work, we analyze a pre-trained mT5 to discover the attributes of cross-lingual connections learned by this model. Through a statistical interpretation framework over 90 language pairs across three tasks, we show that transfer performance can be modeled by a few linguistic and data-derived features. These observations enable us to interpret cross-lingual understanding of …

Read more “Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer”

This paper was accepted at “Reinforcement Learning for Real Life” workshop at NeurIPS 2022. Advancements in reinforcement learning (RL) have inspired new directions in intelligent automation of network defense. However, many of these advancements have either outpaced their application to network security or have not considered the challenges associated with implementing them in the real-world. …

Read more “Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies”

This paper was accepted at the workshop at “Human-in-the-Loop Learning Workshop” at NeurIPS 2022. Preference-based reinforcement learning (RL) algorithms help avoid the pitfalls of hand-crafted reward functions by distilling them from human preference feedback, but they remain impractical due to the burdensome number of labels required from the human, even for relatively simple tasks. In …

Read more “Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning”

Just a few weeks ago, IBM announced an expansion to their embeddable AI software portfolio with the release of three containerized Watson libraries. This expansion allows our partners to embed popular IBM Watson capabilities, including natural language processing, speech-to-text, and text-to-speech into their applications and solutions. But what is embeddable AI, and what are its uses? Embeddable …

Read more “Embeddable AI saves time building powerful AI applications”