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Will Artificial Intelligence Drive Robots?

Agility CEO Damion Shelton and CTO Jonathan Hurst discuss artificial intelligence and its role in robot control. They also discuss the capability of robot learning paired with physics-based locomotion, Cassie setting a new world record using learned policies for control, and an exploration of the future of robotics through Dall-E.

At Agility, we make robots that are made for work. Our robot Digit works alongside us in spaces designed for people. Digit handles the boring and repetitive tasks that are meant for a machine, which allows companies and their people to focus on the work that requires the human element.

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DALL·E Now Available Without Waitlist

New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible.

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Starting today, we are removing the waitlist for the DALL·E beta so users can sign up and start using it immediately. More than 1.5M users are now actively creating over 2M images a day with DALL·E—from artists and creative directors to authors and architects—with over 100K users sharing their creations and feedback in our Discord community.

Bruce Willis has become first Hollywood actor to sell rights to ‘digital twin’

Looks like he will be able to do Die Hard 300 and beyond.😄


Earlier this year, Bruce Willis announced he’d be ‘stepping away’ from acting following an aphasia diagnosis.

A disorder that affects how a person communicates, aphasia impacts writing, speech, and how someone understands spoken language.

And although Willis didn’t mention the diagnosis when he confirmed this week that he’d sold his rights, allowing his ‘digital twin’ to be used on screen, it would allow him to keep appearing in films without actually being on set.

Experimental and Analytical Framework for “Mix-and-Read” Assays Based on Split Luciferase

The use of immunodetection assays including the widely used enzyme-linked immunosorbent assay (ELISA) in applications such as point-of-care detection is often limited by the need for protein immobilization and multiple binding and washing steps. Here, we describe an experimental and analytical framework for the development of simple and modular “mix-and-read” enzymatic complementation assays based on split luciferase that enable sensitive detection and quantification of analytes in solution. In this assay, two engineered protein binders targeting nonoverlapping epitopes on the target analyte were each fused to nonactive fragments of luciferase to create biosensor probes. Binding proteins to two model targets, lysozyme and Sso6904, were isolated from a combinatorial library of Sso7d mutants using yeast surface display.

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