The 'Zon has opened two storefronts in the Houston area. Photo courtesy of Amazon

The juggernaut that is Amazon considers to rule the universe and expand. Now, local fans of Jeff Bezos' digital behemoth can look forward to two new brick-and-mortar stores in the Houston area.

Amazon announced the opening of two Houston stores on September 18: Amazon 4-star in The Woodlands Mall and Amazon Books in Baybrook Mall.

For the uninitiated, the Amazon 4-star is a new store that carries highly rated products from the top categories across all of Amazon.com — including devices, consumer electronics, kitchen, home, toys, books, games, and more.

As the name implies, all products are rated four stars and above by Amazon customers. Other determinants include the item being a top seller, or if it is new and trending on Amazon.com, according to a press release.

Shoppers can expect fun features such as "Bring Your Own Pumpkin Spice," "Stay Connected Home Tech for Work and Play," "Fresh Off the Screen," and "Trending Around Houston" to discover must-have products. The Woodlands Amazon 4-star (1201 Lake Woodlands Dr.) is the 23rd Amazon 4-star location nationwide.

Meanwhile, shoppers in Baybrook Mall's Amazon Books (1132 Baybrook Mall Dr.) can expect myriad titles rated as customer favorites, whether trending on the site, devices, or listed as customer favorites. Amazon Books in the Baybrook Mall is the 23rd Amazon Books location nationwide.

Books customers can shop cookbooks alongside a highly curated selection of cooking tools, as well as, popular toys, games, and other home items. Amazon Books is open to all: Prime members pay the Amazon.com price in store, and customers who aren't already Prime members can sign up for a free 30-day trial and instantly receive the Amazon.com price in store, according a release.

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This article originally ran on CultureMap.

Florida startup Fit:Match chose Houston for its first location of its AI-enabled retail store. Photo via shopfitmatch.com

New Houston-area store pops up to optimize artificial intelligence for retail shopping

fashion forward

In November, on the first floor of Friendswood's Baybrook Mall, wedged between the Abercrombie & Fitch and the Apple Store, a small studio popped up. At the window, a bubblegum assortment of balloons replaced the usual spruced-up manakin, and the shop is sparse for racks of clothing.

That's because the Fit:Match studio isn't really trying to sell clothes — it's trying to help you buy them online. By fusing artificial intelligence with retail shopping, Fit:Match makes ordering clothes online more trustworthy. The writing on the walls promised to revolutionize the way that people could: "Shop what fits. Not what doesn't," reads a neon sign. The tech might not only reduce long waits for the dressing room — it could abolish it altogether.

"You never have to try on clothes again," says Haniff Brown, founder of the Florida-native startup.

The store does have a fitting room, but Brown says it's not really for trying on clothes — it's for preparing to "get fitched," the process through which the imaging tech measures a customer's body.

It's fitting that the pop-up sits next to the iPhone giant. Fit:Match uses the same 3D imaging tech as Apple's FaceID, Brown says, which blasts infrared light at thousands of dots at a user's face. Where the light bounces off, the AI technology images the person's face. The sensors at the Fit:Match studio in Baybrook Mall expand this to the rest of the body. In 10 seconds, the AI sensor lets people sketches a customer's shape through 150 measurements.

Those measurements become indicators of how well a piece of clothing will fit the wearer. In the initial phase of the project, Brown's team fitched thousands of women — wanting to keep things neat, the company hasn't ventured into men's fashion yet — and compared the scores of the AI's algorithm with how the women scored their own clothes.

Now, once a customer has been fitched at the Baybrook studio, she can log online through an app or the company site and sift through thousands of clothes that will likely fit her. Each clothing item — mostly smaller brands that range from eclectic pieces and dresses to athleisure right now, Brown says, although he's already working to partner with better-known labels — is rated with a percentage of how well it's likely to fit the individual customer, based on her measurements and on how snug or loose she likes her wear. From the array of brands, she'll get specific matches — clothes that have a 90 percent chance or higher of fitting — that might look completely different from a friend's. Over time, the app will also update her on the latest matches.

"You're going to have this personalized wallet," Brown says, adding that this will also decrease a store's rate of return. "You will see a completely truncated assortment of clothes that are meant to fit you."

The Baybrook Mall hosts Fit:Match's first location. Brown says he chose the Houston area for its size and demographics, calling it a "hotbed to test new ideas, to get traction, to get customer feedback," and is even considering expanding to the Woodlands Mall and other places around Texas, too. It's also not far from the Austin-based Capital Factory, which brought Fit:Match under its wing late last year to help the startup raise $5 million.

In the meantime, the five-member management team at Fit:Match is focused on getting more Houstonians fitched. In the first month of operations, the studio measured more than 1,200 mallgoers, and Brown says the company could fitch a quarter million in the next two or three years.

"We think that the opportunity here is immense," Brown says.

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Houston researchers create AI model to tap into how brain activity relates to illness

brainiac

Houston researchers are part of a team that has created an AI model intended to understand how brain activity relates to behavior and illness.

Scientists from Baylor College of Medicine worked with peers from Yale University, University of Southern California and Idaho State University to make Brain Language Model, or BrainLM. Their research was published as a conference paper at ICLR 2024, a meeting of some of deep learning’s greatest minds.

“For a long time we’ve known that brain activity is related to a person’s behavior and to a lot of illnesses like seizures or Parkinson’s,” Dr. Chadi Abdallah, associate professor in the Menninger Department of Psychiatry and Behavioral Sciences at Baylor and co-corresponding author of the paper, says in a press release. “Functional brain imaging or functional MRIs allow us to look at brain activity throughout the brain, but we previously couldn’t fully capture the dynamic of these activities in time and space using traditional data analytical tools.

"More recently, people started using machine learning to capture the brain complexity and how it relates it to specific illnesses, but that turned out to require enrolling and fully examining thousands of patients with a particular behavior or illness, a very expensive process,” Abdallah continues.

Using 80,000 brain scans, the team was able to train their model to figure out how brain activities related to one another. Over time, this created the BrainLM brain activity foundational model. BrainLM is now well-trained enough to use to fine-tune a specific task and to ask questions in other studies.

Abdallah said that using BrainLM will cut costs significantly for scientists developing treatments for brain disorders. In clinical trials, it can cost “hundreds of millions of dollars,” he said, to enroll numerous patients and treat them over a significant time period. By using BrainLM, researchers can enroll half the subjects because the AI can select the individuals most likely to benefit.

The team found that BrainLM performed successfully in many different samples. That included predicting depression, anxiety and PTSD severity better than other machine learning tools that do not use generative AI.

“We found that BrainLM is performing very well. It is predicting brain activity in a new sample that was hidden from it during the training as well as doing well with data from new scanners and new population,” Abdallah says. “These impressive results were achieved with scans from 40,000 subjects. We are now working on considerably increasing the training dataset. The stronger the model we can build, the more we can do to assist with patient care, such as developing new treatment for mental illnesses or guiding neurosurgery for seizures or DBS.”

For those suffering from neurological and mental health disorders, BrainLM could be a key to unlocking treatments that will make a life-changing difference.

Houston-based cleantech unicorn named among annual top disruptors

on the rise

Houston-based biotech startup Solugen is making waves among innovative companies.

Solugen appears at No. 36 on CNBC’s annual Disruptor 50 list, which highlights private companies that are “upending the classic definition of disruption.” Privately owned startups founded after January 1, 2009, were eligible for the Disruptor 50 list.

Founded in 2016, Solugen replaces petroleum-based products with plant-derived substitutes through its Bioforge manufacturing platform. For example, it uses engineered enzymes and metal catalysts to convert feedstocks like sugar into chemicals that have traditionally been made from fossil fuels, such as petroleum and natural gas.

Solugen has raised $643 million in funding and now boasts a valuation of $2.2 billion.

“Sparked by a chance medical school poker game conversation in 2016, Solugen evolved from prototype to physical asset in five years, and production hit commercial scale shortly thereafter,” says CNBC.

Solugen co-founders Gaurab Chakrabarti and Sean Hunt received the Entrepreneur of The Year 2023 National Award, presented by professional services giant EY.

“Solugen is a textbook startup launched by two partners with $10,000 in seed money that is revolutionizing the chemical refining industry. The innovation-driven company is tackling impactful, life-changing issues important to the planet,” Entrepreneur of The Year judges wrote.

In April 2024, Solugen broke ground on a Bioforge biomanufacturing plant in Marshall, Minnesota. The 500,000-square-foot, 34-acre facility arose through a Solugen partnership with ADM. Chicago-based ADM produces agricultural products, commodities, and ingredients. The plant is expected to open in the fall of 2025.

“Solugen’s … technology is a transformative force in sustainable chemical manufacturing,” says Hunt. “The new facility will significantly increase our existing capabilities, enabling us to expand the market share of low-carbon chemistries.”

Houston cleantech company tests ​all-electric CO2-to-fuel production technology

RESULTS ARE IN

Houston-based clean energy company Syzygy Plasmonics has successfully tested all-electric CO2-to-fuel production technology at RTI International’s facility at North Carolina’s Research Triangle Park.

Syzygy says the technology can significantly decarbonize transportation by converting two potent greenhouse gases, carbon dioxide and methane, into low-carbon jet fuel, diesel, and gasoline.

Equinor Ventures and Sumitomo Corp. of Americas sponsored the pilot project.

“This project showcases our ability to fight climate change by converting harmful greenhouse gases into fuel,” Trevor Best, CEO of Syzygy, says in a news release.

“At scale,” he adds, “we’re talking about significantly reducing and potentially eliminating the carbon intensity of shipping, trucking, and aviation. This is a major step toward quickly and cost effectively cutting emissions from the heavy-duty transport sector.”

At commercial scale, a typical Syzygy plant will consume nearly 200,000 tons of CO2 per year, the equivalent of taking 45,000 cars off the road.

“The results of this demonstration are encouraging and represent an important milestone in our collaboration with Syzygy,” says Sameer Parvathikar, director of renewable energy and energy storage at RTI.

In addition to the CO2-to-fuel demonstration, Syzygy's Ammonia e-Cracking™ technology has completed over 2,000 hours of performance and optimization testing at its plant in Houston. Syzygy is finalizing a site and partners for a commercial CO2-to-fuel plant.

Syzygy is working to decarbonize the chemical industry, responsible for almost 20 percent of industrial CO2 emissions, by using light instead of combustion to drive chemical reactions.

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This article originally ran on EnergyCapital.