Letters
One of the challenges of building an AI startup is setting customer expectations. Machine learning is a highly experiment-driven field. Until you’ve built something, it’s hard to predict how well it will work.
Machine Learning Research
Vision Transformer and models like it use a lot of computation and memory when processing images. New work modifies these architectures to run more efficiently while adopting helpful properties from convolutions.
Tech & Society
Amid rising social tension in the United States over reproductive freedom, a company that analyzes location data on abortion clinics stopped distributing its findings after a critical press report.
Tech & Society
A wearable device may help warehouse workers avoid injuries. Modjoul, maker of a system that evaluates risks to people engaged in physical labor, received an undisclosed sum from Amazon as part of a $1 billion investment in technologies that might enhance the retailer giant’s operations.
Tech & Society
Researchers took a step toward achieving a longstanding goal: One model that performs a whole lot of very different tasks. Scott Reed, Konrad Żołna, Emilio Parisotto and a team at DeepMind announced Gato.
Culture
A neural network may help an online music service to spot songs with the potential to go big. Musiio uses AI to identify specific attributes and qualities in recorded music. Online audio distributor SoundCloud purchased the Singapore-based startup.
The Batch Newsletter
Last week, I described trends that AI Fund, the venture studio I lead, has seen in building AI startups. I'd like to discuss another aspect of building companies that’s unique to AI businesses: the controversial topic of data moats.
Letters
Last week, I described trends that AI Fund, the venture studio I lead, has seen in building AI startups. I'd like to discuss another aspect of building companies that’s unique to AI businesses: the controversial topic of data moats.
Machine Learning Research
If you want to both synthesize data and find the probability of any given example — say, generate images of manufacturing defects to train a defect detector and identify the highest-probability defects — you may use the architecture known as a normalizing flow.
Tech & Society
Hospitals are using robots to lighten the load on clinical staff. A number of U.S. hospitals are using Moxi, a robot from Diligent Robotics, to ferry supplies, lab specimens, soiled laundry, and other items.
Tech & Society
Itching to get your hands on a fully trained large language model? The wait is over. Meta introduced the OPT family of transformer-based language models with nearly unfettered access to source code and trained weights.
Science
Hospitals across the United States are relying on AI to keep patients safe. Doctors are using a variety of machine learning systems to assess the risk that a given patient will suffer complications.