Nicolaus Radford, who founded Nauticus Robotics and took it all the way to IPO, shares details of his new company, PersonaAI. Image via LinkedIn

For his next act, Houston entrepreneur Nicolaus Radford has started — in what he describes as an "anti-stealth" capacity — a new company that hopes to bring humanoid robotics out of science fiction novels and into manufacturing floors.

Radford, who saw his last company, Nauticus Robotics, from founding to IPO, left the company in January. He tells InnovationMap that he started receiving some compelling offers at other robotics companies, but none of them felt like a fit. However, he just couldn't get the idea of advancing humanoid robotics out of his head.

"Humanoids are the holy grail of all of robotics," Radford says. "It's what every science fiction writer's always dreamed about.

"It is the future," he continues. "And now with this generative AI moment of 2022 where these machines look a lot more capable, flexible, reprogrammable — they can reason in real time. That's a huge deal."

Radford says he got a call from his friend, Jerry Pratt, who was the CTO at humanoid robotics company Figure AI. Pratt and Radford both worked in robotics at NASA and each have decades of experience in the tech world. The conversation really sealed the deal for Radford, and the two officially launched Persona AI in a LinkedIn post that Radford says shocked him with how much interest the community had.

Radford says that with all this interest, he wants to open up the company to more co-founders than just himself and Pratt, who's based in Florida.

"We're going to give a significant amount of the company out to the early joiners, more so than is probably typical," Radford says. "And it's because we know it takes a village, and we want to highlight that to everybody."

"We're trying to crowdsource the company," he continues. "We've coined that we're anti stealth."

Specifically, Radford says he's looking at growing the team to about 25 people in the next year, alongside raising early funding. He's looking for people with a diverse tech background with well-rounded experience.

"Robotics and humanoids in particular are just so multidisciplinary," Radford says. "Humanoids are a hundred-thousand-piece puzzle, and you're trying to put this puzzle together."

And for Radford, assembling that puzzle in Houston is of utmost importance. The company is headquartered here, and Radford is currently working with The Ion to set up an office there.

"We're exceptionally excited to put (the company) in Houston," he says. "It would be incredible for the city — there's a lot of industrial manufacturing here and a lot of warehousing. ... I still have this desire to shine a light on Houston's tech scene because I believe it is unsung, underappreciated, and quite capable."

The potential for this technology is huge — Radford estimates it as a $3 trillion market — but the first industry he plans on tackling is automotive, but he also sees promise in the medical, energy, and home industries.

"We think automotive is going to be a first-mover market. There's a lot of publicly announced partnerships between advanced robotics companies and humanoid companies and automotive," he says. "These folks are showing a willingness to put something out in the press that says they're developing a humanoid or piloting a humanoid. That's huge.

With this expressed interest, technology advancement, and large labor shortage, Radford is convinced now is the time for humanoid robotics — and for Persona AI.

"We're at a technology tipping point where it makes sense that these machines can do this, and there's an investment community willing to finance it," Radford says. "I think the first time in all of robotic history we're closer than we've ever been to making this a reality."

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”