Conference:  Transform X 2022

Authors: Jordan Fisher

2022-10-19

Jordan Fisher, CEO of Standard AI, is passionate about changing the real-world retail experience by unlocking better shopping experiences with computer vision. Fisher discusses applying computer vision models to the physical world to create human-centric applications; augmenting retail staff with better inventory tools and store layout analytics; and creating better shopper experiences with autonomous checkout. Even given the challenges in today’s retail environment—the labor shortage, inflation, the supply chain crunch, and difficulties competing against tech giants—shoppers expect more options and a better experience. Fisher’s vision is to allow customers to come in, shop, skip the checkout line, and get a receipt within minutes after they leave. At a shop at San Jose State University, traffic increased by 20%, average total receipts increased by almost 23%, and there was a decrease in wait time by over 50%. Further, store employees get analytics about which items are out of stock or misplaced, as well as traffic patterns about individual shoppers that do not collect PII. Fisher has spent his career focusing on both fundamental research and product development. He has worked in computational fluid dynamics, securities regulations, video games, machine learning, and retail, and seeks out areas where innovative products can be forged by tackling difficult research initiatives.

Conference:  Transform X 2022

Authors: Nathan Silberman

2022-10-19

Interpretation of pathology slides is a crucial part of diagnosing disease and an increasingly important part of drug discovery and drug development pipelines. The massive and ever-growing volume of data being produced for each of these areas has led to increased interest in harnessing machine learning in order to produce new biological insights, discover novel biomarkers, steer patient selection for clinical trials, and improve diagnostic accuracy. Effectively training and deploying computer vision models to interpret pathology images must overcome a massive hurdle: pathology slides are typically 100,000 x 100,000 pixels each, many orders of magnitude larger than is typical in computer vision pipelines. However, a number of approaches have been developed over the last few years which have made automatic interpretation of pathology slides not just feasible but a valuable tool used by many healthcare companies around the world. ML Executive; Formerly, VP of AI at PathAI, Butterfly, Nathan Silberman walks attendees through a number of these novel and creative approaches.

Conference:  Transform X 2022

Authors: Mike Schroepfer, Alexandr Wang

2022-10-19

Mike Schroepfer, Meta’s first Senior Fellow and Former CTO, has been a driving force behind transformative technologies, from his time leading groundbreaking work in computer vision, natural language processing, and the metaverse to his focus today on combating climate change with technology. Schroepfer will sit down with Scale Founder and CEO Alexandr Wang to share lessons from Facebook’s transition from being web-focused to becoming mobile-focused and, ultimately, an AI-centric company. He will explain the developer pain that motivated an industry-standard framework like React Native, as well as the motivations behind keeping PyTorch as a community-focused tool, built for researchers. He will discuss large language models and how more carefully curated, differentiated, and high-quality data will drive significant advancements in capabilities in the near term. He will also cover the future of augmented and virtual reality, including real-time machine translation with closed-captioning, contextual recognition of real-world objects to create more helpful applications, and more efficient hardware with native AI.At Meta, Schroepfer focuses on supporting the company’s strategic technology priorities including its investments in AI and development of technical talent. From 2013 to 2022, he served as Meta’s Chief Technology Officer, where he led the development of the technology and teams that enabled the company to scale to billions of people around the world and make breakthroughs in fields like AI and virtual reality.

Conference:  Transform X 2022

Authors: Dr. Kenneth E. Washington, Vijay Karunamurthy

2022-10-19

Ken Washington, CTO of Ford, discusses the responsible development of AI and its potential to benefit society in a conference presentation.

• Developers should be responsible and focus on doing good when working with AI
• AI has the potential to benefit society, such as in home robots that provide companionship and peace of mind
• Ford is providing a software development kit for Astro, their home robot, to university partners to accelerate innovation
• Working in AI is important for society and provides opportunities for learning and growth

Conference:  OpenAI + Data Forum 2022

Authors: Travis Addair, Nicolas Castet

2022-06-21

The presentation discusses a full stack platform for optimizing data sharing and processing in a cluster environment.

• The platform uses the Hadoop Distributed File System (HDFS) and YARN for data storage and processing.
• The platform includes a peer-to-peer torrent-like protocol called Left-Right (Letbat) for efficient data transfer.
• The platform allows for easy sharing of data sets and includes a search function for finding relevant data.
• The platform is still in development and the team is looking for feedback and developers to contribute.

Conference:  OpenAI + Data Forum 2022

Authors: Samantha Coyle, Neethu Elizabeth Simon

2022-06-21

Developing ethical AI software for edge devices

• AI software can be used for good or bad, so it's important to have a strong moral compass and principles guiding development
• Intel abides by six ethics principles, including respecting human rights and enabling human oversight
• Challenges in deploying AI at the edge include resource constraints and data management
• Postgres database was chosen for data management due to its reliability, efficiency, and security features
• Security measures were taken to ensure sensitive information is not accessible to unauthorized users