Educating robots to navigate new environments is hard. You may practice them on bodily, real-world knowledge taken from recordings made by people, however that’s scarce, and costly to gather. Digital simulations are a fast, scalable strategy to train them to do new issues, however the robots typically fail once they’re pulled out of digital worlds and requested to do the identical duties in the actual one.
Now, there’s doubtlessly a greater choice: a brand new system that makes use of generative AI fashions together with a physics simulator to develop digital coaching grounds that extra precisely mirror the bodily world. Robots educated utilizing this methodology labored with the next success charge than these educated utilizing extra conventional strategies throughout real-world assessments.
Researchers used the system, known as LucidSim, to coach a robotic canine in parkour, getting it to scramble over a field and climb stairs, regardless of by no means seeing any actual world knowledge. The strategy demonstrates how useful generative AI might be on the subject of instructing robots to do difficult duties. It additionally raises the likelihood that we might in the end practice them in completely digital worlds. Learn the total story.
—Rhiannon Williams
Africa’s AI researchers are prepared for takeoff
After we discuss in regards to the world race for AI dominance, the dialog typically focuses on tensions between the US and China, and European efforts at regulating the expertise. Nevertheless it’s excessive time we speak about one other participant: Africa.
African AI researchers are forging their very own path, growing instruments that reply the wants of Africans, in their very own languages. Their story is just not solely considered one of persistence and innovation, however of preserving cultures and combating to form how AI applied sciences are used on their very own continent. Nevertheless, they face many limitations. Learn the total story.
—Melissa Heikkilä
