Conference Overview Next week, the Thirty-sixth annual Conference on Neural Information Processing Systems (NeurIPS) will be held in New Orleans, Louisiana from Monday, November 28th, through Friday, December 9th. NeurIPS will include invited…
Background We live in a digital world where many of us depend on customer service to be at its best. Whether it’s calling about an order issue or needing help to activate an…
TL;DR: Applications are now open for the next cohort of Salesforce’s AI Residency Program. We invite researchers and engineers to join our 12-month training program, designed to help launch their careers while serving…
TL;DR: Deep reinforcement learning (RL), a powerful learning framework to train AI agents, can be slow as it requires repeated interaction with a simulation of the environment. Our original WarpDrive accelerates multi-agent deep…
AUTHORS: Chenghao Liu, Quang Pham, Doyen Sahoo, Donald Rose TL;DR: Nonstationary data, which changes its statistical properties over time, can make time series forecasting difficult. Despite the recent success of deep learning techniques…
TL;DR: The performance of existing time-series forecasting methods can degrade due to non-stationarity, where the statistical distribution of time-series data changes over time. Our new DeepTime method overcomes non-stationarity issues by leveraging a…
AUTHORS: Zeyuan Chen, Ran Xu, Luyu Yang, Donald Rose TL;DR: Many methods designed to preserve online privacy propose complex security measures to protect sensitive data. We believe that not storing any sensitive data…
Einstein Copilot has arrived! Find out more about the conversational AI for CRM here. Instead, imagine a cockpit that’s all but empty, trading wall-to-wall controls for a stunning, panoramic view. You take a…
As we say a fond farewell to summer (bummer!), let’s look back and review some of the stellar work reported on by Salesforce AI researchers during the past few months. (For more details,…
TL;DR: LAVIS (short for LAnguage-VISion) is an open-source deep learning library for language-vision research and applications, offering comprehensive support for a wide range of tasks, datasets, and state-of-the-art models. Featuring a unified interface…