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Someone has made it. LONDON—(BUSINESS WIRE)—Self-driving technology company Wayve has launched LINGO-1, a first-of-its-kind vision-language-action model (VLAM) for self-driving that is set to revolutionise the learning and explainability of its AI Driver technology powering self-driving vehicles.

Prior to LINGO-1, end-to-end AI neural nets have been criticised as black boxes, providing limited insight into why and how they make decisions. Gaining deeper insight into the decision-making and reasoning capabilities of its AI models is critical to ensuring that Wayve can build a safe driving intelligence for self-driving. Wayve’s LINGO-1 opens up new capabilities to dramatically enhance the interpretability of Wayve’s AI Driver.

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Wayve launches a breakthrough AI model, LINGO-1, that uses natural language to improve AI explainability for self-driving vehicles.

The healthcare lead at research and consulting giant Accenture lays out how to get proprietary data ready, establish the right controls and harmonize people with the tech.

Many healthcare organizations are onboarding generative AI fast and furious. Generative is the kind of AI behind the super popular ChatGPT application.

While it may seem like a miracle technology to many, it is by no means perfected. In fact, it even can have hallucinations (known to us humans as mistakes).

Mercedes-Benz is using digital twins for production with help from NVIDIA Omniverse, a platform for developing Universal Scene Description (OpenUSD) applications to design, collaborate, plan and operate manufacturing and assembly facilities.

Mercedes-Benz’s new production techniques will bring its next-generation vehicle portfolio into its manufacturing facilities operating in Rastatt, Germany; Kecskemét, Hungary; and Beijing, China — and offer a blueprint for its more than 30 factories worldwide. This “Digital First” approach enhances efficiency, avoids defects and saves time, marking a step-change in the flexibility, resilience and intelligence of the Mercedes-Benz MO360 production system.

The digital twin in production helps ensure Mercedes-Benz assembly lines can be retooled, configured and optimized in physically accurate simulations first. The new assembly lines in the Kecskemét plant will enable production of vehicles based on the newly launched Mercedes Modular Architecture that are developed virtually using digital twins in Omniverse.

Artificial intelligence (AI) is the branch of computer science that enables machines to learn, reason, and problem solve. In recent decades, AI has been developed with the aim of improving the management of patients with brain tumours. This review article explores the role AI currently plays in managing patients undergoing brain tumour surgery, and explores how AI may impact this field in the future.

Artificial intelligence (AI) platforms have the potential to cause a paradigm shift in brain tumour surgery. Brain tumour surgery augmented with AI can result in safer and more effective treatment. In this review article, we explore the current and future role of AI in patients undergoing brain tumour surgery, including aiding diagnosis, optimising the surgical plan, providing support during the operation, and better predicting the prognosis. Finally, we discuss barriers to the successful clinical implementation, the ethical concerns, and we provide our perspective on how the field could be advanced.

Keywords: artificial intelligence, AI, neurosurgery, brain tumour, machine learning, deep learning, surgery, oncology.

A collaboration between researchers at the University of Illinois Urbana-Champaign and Duke University has developed a robotic eye examination system, and the National Institutes of Health has awarded the researchers $1.2 million to expand and refine the system.

The researchers have developed a robotic system that automatically positions examination sensors to scan human eyes. It currently uses an optical scan technique which can operate from a reasonably safe distance from the eye, and now the researchers are working to add more features that will help it perform most steps of a standard eye exam. These features will require the system to operate in closer proximity to the eye.

“Instead of having to spend time in a doctor’s office going through the manual steps of routine examinations, a robotic system can do this automatically,” said Kris Hauser, a U. of I. computer science professor and the study’s principal investigator. “This would mean faster and more widespread screening leading to better health outcomes for more people. But to achieve this, we need to develop safer and more reliable controls, and this award allows us to do just that.”

Tesla has released an update with progress on its Optimus humanoid robot with a video that almost looks like CGI.

Optimus, also known as Tesla Bot, has not been taken seriously by many outside of the more hardcore Tesla fans, and for good reasons.

When it was first announced, it seemed to be a half-baked idea from CEO Elon Musk with a dancer disguised as a robot for visual aid. It also didn’t help that the demo at Tesla AI Day last year was less than impressive.

Teslas full-self driving Version 12 has just shocked the World. Elon Musk live-streamed it’s capabilities for the first time, and detailed how it now operates compared to previous versions of Teslas FSD. This really is a mind-blowing moment for Tesla, Tesla owners, and the future of Autonomous Cars.

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Credits.

Ali Rogin:

With the cost of owning a car out of reach for many today ride sharing gives commuters an alternative. And a handful of U.S. cities, self-driving taxis are getting the green light to pick up passengers. Several companies including Waymo Cruise and Motional are touting driverless taxis as the way of the future.

But the rollout of these robo cabs has hit some speed bumps. Not everyone is comfortable with autonomous cars on the road. And major technical questions remain. Aarian Marshall is a staff writer for WIRED, and she covers transportation. Aarian, thank you so much for joining us.