Feb 02, 2022

6 Posts

Andrew Ng speaking at the A3 Business Forum in Orlando, Florida
Feb 02, 2022

AI for Industrial Automation — and Beyond

I’m writing this in Orlando, Florida, where I just spoke at the A3 Business Forum, a group that works to advance industrial automation through AI, robotics, and other tools. This was my first large conference since the pandemic started...
Andrew Ng speaking at the A3 Business Forum in Orlando, Florida
Feb 02, 2022

The Batch: AI Chip Supplies At Risk, GPT-3 Goes to Finishing School, Fake Faces For Training Face Recognition, Roadblocks to Regulating AI

I’m writing this in Orlando, Florida, where I just spoke at the A3 Business Forum, a group that works to advance industrial automation through AI, robotics, and other tools. This was my first large conference since the pandemic started...
Semiconductor chip
Feb 02, 2022

Chips at Risk: How the chip shortage impacts AI.

The hardware that runs the latest AI systems faces rising uncertainty as models grow larger and more computationally intensive. The U.S. Commerce Department sounded an alarm over bottlenecks in the availability of semiconductor chips.
InstructGPT methods
Feb 02, 2022

A Kinder, Gentler Language Model: Inside Instruct GPT-3, OpenAI's GPT-3 successor.

OpenAI unveiled a more reliable successor to its GPT-3 natural language model. InstructGPT is a version of GPT-3 fine-tuned to minimize harmful, untruthful, and biased output. It's available via an application programming interface.
Fake face diagram - FaceSynthetics
Feb 02, 2022

Fake Faces Are Good Training Data: Synthetic data improves face recognition performance.

Collecting and annotating a dataset of facial portraits is a big job. New research shows that synthetic data can work just as well.
Diagram with automated decision systems
Feb 02, 2022

Roadblocks to Regulation: Why laws to regulate AI usually fail.

Most U.S. state agencies use AI without limits or oversight. An investigative report probed reasons why efforts to rein them in have made little headway. Since 2018, nearly every proposed bill aimed at studying or controlling how state agencies use automated decision systems.

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