Toggle light / dark theme

Warehouse automation company Nimble Robotics today announced that it has raised a $50 million Series A. Led by DNS Capital and GSR Ventures and featuring Accel and Reinvent Capital, the round will go toward helping the company essentially double its headcount this year.

Founded by former Stanford PhD student Simon Kalouche, the system utilizes deep imitation learning – a popular concept in robotics research that helps systems map and improve through imitation.

“Instead of letting it sit in a lab for five years and creating this robotic application before it’s finally ready to deploy to the real world, we deployed it today,” says Kalouche. “It’s not fully autonomous – it’s autonomous maybe 90, 95% of the time. The other 5–10% is assisted by remote human operators, but it’s reliable on day one, and it’s reliable on day 10000.”

EA, Ubisoft, Warner Bros, and more explore how artificial intelligence innovations will lead to more believable open worlds and personal adventures within them.


Most NPCs simply patrol a specific area until the player interacts with them, at which point they try to become a more challenging target to hit. That’s fine in confined spaces, but in big worlds where NPCs have the freedom to roam, it just doesn’t scale. More advanced AI techniques such as machine learning – which uses algorithms to study incoming data, interpret it, and decide on a course of action in real-time – give AI agents much more flexibility and freedom. But developing them is time-consuming, computationally expensive, and a risk because it makes NPCs less predictable – hence the Assassin’s Creed Valhalla stalking situation.

However, as open-world and narrative-based games become more complex, and as modern PCs and consoles display ever more authentic and detailed environments, the need for more advanced AI techniques is growing. It’s going to be weird and alienating to be thrust into an almost photorealistic world filled with intricate systems and narrative possibilities, only to discover that non-player characters still act like soulless robots.

This is something the developers pushing the boundaries of open-world game design understand. Ubisoft, for example, has dedicated AI research teams at its Chengdu, Mumbai, Pune, and Montpelier studios, as well as a Strategic Innovation Lab in Paris and the Montreal studio’s La Forge lab, and is working with tech firms and universities on academic AI research topics.

Holograms deliver an exceptional representation of 3D world around us. Plus, they’re beautiful. (Go ahead — check out the holographic dove on your Visa card.) Holograms offer a shifting perspective based on the viewer’s position, and they allow the eye to adjust focal depth to alternately focus on foreground and background.

Researchers have long sought to make computer-generated holograms, but the process has traditionally required a supercomputer to churn through physics simulations, which is time-consuming and can yield less-than-photorealistic results. Now, MIT researchers have developed a new way to produce holograms almost instantly — and the deep learning-based method is so efficient that it can run on a laptop in the blink of an eye, the researchers say.

For decades, researchers assumed the cosmic rays that regularly bombard Earth from the far reaches of the galaxy are born when stars go supernova — when they grow too massive to support the fusion occurring at their cores and explode.

Those gigantic explosions do indeed propel atomic particles at the speed of light great distances. However, new research suggests even supernovae — capable of devouring entire solar systems — are not strong enough to imbue particles with the sustained energies needed to reach petaelectronvolts (PeVs), the amount of kinetic energy attained by very high-energy cosmic rays.

And yet cosmic rays have been observed striking Earth’s atmosphere at exactly those velocities, their passage marked, for example, by the detection tanks at the High-Altitude Water Cherenkov (HAWC) observatory near Puebla, Mexico. Instead of supernovae, the researchers posit that star clusters like the Cygnus Cocoon serve as PeVatrons — PeV accelerators — capable of moving particles across the galaxy at such high energy rates.

Saving Lives; Changing Minds — Dr. Emanuele Capobianco, MD, Director for Health and Care, International Federation of Red Cross and Red Crescent Societies.


Dr. Emanuele Capobianco, MD, MPH, is the Director for Health and Care at the International Federation of Red Cross and Red Crescent Societies (IFRC), where he leads the IFRC Global Health and Care Team and provides strategic and operational support to 192 National Red Cross and Red Crescent Societies around the world in the areas of community health, emergency health and water/sanitation. He currently also leads the IFRC global response to COVID19 and the IFRC response to the Ebola outbreaks in DRC.

Before this role at IFRC, Dr. Capobianco was the Deputy Executive-Director of The Partnership for Maternal, Newborn & Child Health, a multi-constituency partnership, hosted by the World Health Organization, and is the world’s largest alliance for women’s, children’s and adolescents’ health. He joined there from the Global Fund to Fight AIDS, Tuberculosis and Malaria where he worked as Senior Policy Advisor in the Office of the Executive Director, leading the development of the 2017–2022 Global Fund Strategy.