BrainLM is now well-trained enough to use to fine-tune a specific task and to ask questions in other studies. Photo via Getty Images

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.

This Houston startup has a game-changing technology for deep learning. Photo via Getty Images

Houston artificial intelligence startup raises $6M in seed funding

money moves

A computer science professor at Rice University has raised seed funding last month in order to grow his company that's focused on democratizing artificial intelligence tools.

ThirdAI, founded by Anshumali Shrivastava in April, raised $6 million in a seed funding round from three California-based VCs — Neotribe Ventures and Cervin Ventures, which co-led the round with support from Firebolt Ventures.

Shrivastava, CEO, co-founded the company with Tharun Medini, a recent Ph.D. who graduated under Shrivastava from Rice's Department of Electrical and Computer Engineering. Medini serves as the CTO of ThirdAI — pronounced "third eye." The startup is building the next generation of scalable and sustainable AI tools and deep learning systems.

"We are democratizing artificial intelligence through software innovations," says Shrivastava in a news release from Rice. "Our innovation would not only benefit current AI training by shifting to lower-cost CPUs, but it should also allow the 'unlocking' of AI training workloads on GPUs that were not previously feasible."

The technology ThirdAI is working with comes from 10 years of deep learning research and innovation. The company's technology has the potential to make computing 15-times faster.

"ThirdAI has developed a breakthrough approach to train deep learning models with a large number of parameters that run efficiently on general purpose CPUs. This technology has the potential to result in a gigantic leap forward in the accuracy of deep learning models," per and announcement from Cervin Ventures. "Our investment in ThirdAI was a no-brainer and we are fortunate to have had the opportunity to invest."

Anshumali Shrivastava is an associate professor of computer science at Rice University. Photo via rice.edu

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Texas university's innovative 'WaterHub' will dramatically reduce usage by 40%

Sustainable Move

A major advancement in sustainability is coming to one Texas university. A new UT WaterHub at the University of Texas at Austin will be the largest facility of its kind in the U.S. and will transform how the university manages its water resources.

It's designed to work with natural processes instead of against them for water savings of an estimated 40 percent. It's slated for completion in late 2027.

The university has had an active water recovery program since the 1980s. Still, water is becoming an increasing concern in Austin. According to Texas Living Waters, a coalition of conservation groups, Texas loses enough water annually to fill Lady Bird Lake roughly 89 times over.

As Austin continues to expand and face water shortages, the region's water supply faces increased pressure. The UT WaterHub plans to address this challenge by recycling water for campus energy operations, helping preserve water resources for both the university and local communities.

The 9,600-square-foot water treatment facility will use an innovative filtration approach. To reduce reliance on expensive machinery and chemicals, the system uses plants to naturally filter water and gravity to pull it in the direction it needs to go. Used water will be gathered from a new collection point near the Darrell K Royal Texas Memorial Stadium and transported to the WaterHub, located in the heart of the engineering district. The facility's design includes a greenhouse viewable to the public, serving as an interactive learning space.

Beyond water conservation, the facility is designed to protect the university against extreme weather events like winter storms. This new initiative will create a reliable backup water supply while decreasing university water usage, and will even reduce wastewater sent to the city by up to 70 percent.

H2O Innovation, UT’s collaborator in this project, specializes in water solutions, helping organizations manage their water efficiently.

"By combining cutting-edge technology with our innovative financing approach, we’re making it easier for organizations to adopt sustainable water practices that benefit both their bottom line and the environment, paving a step forward in water positivity,” said H2O Innovation president and CEO Frédéric Dugré in a press release.

The university expects significant cost savings with this project, since it won't have to spend as much on buying water from the city or paying fees to dispose of used water. Over the next several years, this could add up to millions of dollars.

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A version of this story originally appeared on our sister site, CultureMap Austin.

Texas female-founded companies raised more than $1 billion in 2024, VC data shows

by the numbers

Female-founded companies in Dallas-Fort Worth may rack up more funding deals and more money than those in Houston. However, Bayou City beats DFW in one key category — but just barely.

Data from PitchBook shows that in the past 16 years, female-founded companies in DFW collected $2.7 billion across 488 deals. By comparison, female-founded companies in the Houston area picked up $1.9 billion in VC through 343 deals.

Yet if you do a little math, you find that Houston ekes out an edge over DFW in per-deal values. During the period covered by the PitchBook data, the value of each of the DFW deals averaged $5.53 million. But at $5,54 million, Houston was just $6,572 ahead of DFW for average deal value.

Not surprisingly, the Austin area clobbered Houston and DFW.

During the period covered by the PitchBook data, female-founded companies in the Austin area hauled in $7.5 billion across 1,114 deals. The average value of an Austin deal: more than $6.7 million.

Historically, funding for female-established companies has lagged behind funding for male-established companies. In 2024, female-founded companies accounted for about one-fourth of all VC deals in the U.S., according to PitchBook.

PitchBook noted that in 2024, female-founded companies raised $38.8 billion, up 27 percent from the previous year, but deal count dropped 13.1 percent, meaning more VC for fewer startups. In Texas, female-founded companies brought in $1.3 billion last year via 151 deals. The total raised is the same as 2023, when Texas female founders got $1.3 billion in capital across 190 deals.

“The VC industry is still trying to find solid footing after its peak in 2021. While some progress was made for female founders in 2024, particularly in exit activity, female founders and investors still face an uphill climb,” says Annemarie Donegan, senior research analyst at PitchBook.

Here are 3 Houston innovators to know right now

Innovators to Know

Editor's note: These Houston innovators are making big strides in the fields of neurotechnology, neurodevelopmental diagnosis, and even improving the way we rest and recharge.

For our latest roundup of Innovators to Know, we meet a researcher who is working with teams in Houston and abroad to develop an innovative brain implant; a professor who has created an AI approach to diagnosis; and a local entrepreneur whose brand is poised for major expansion in the coming years.

Jacob Robinson, CEO of Motif Neurotech

Houston startup Motif Neurotech has been selected by the United Kingdom's Advanced Research + Invention Agency (ARIA) to participate in its inaugural Precision Neurotechnologies program. The program aims to develop advanced brain-interfacing technologies for cognitive and psychiatric conditions. Three Rice labs will collaborate with Motif Neurotech to develop Brain Mesh, which is a distributed network of minimally invasive implants that can stimulate neural circuits and stream neural data in real time. The project has been awarded approximately $5.9 million.

Motif Neurotech was spun out of the Rice lab of Jacob Robinson, a professor of electrical and computer engineering and bioengineering and CEO of Motif Neurotech.

Robinson will lead the system and network integration and encapsulation efforts for Mesh Points implants. According to Rice, these implants, about the size of a grain of rice, will track and modulate brain states and be embedded in the skull through relatively low-risk surgery. Learn more.

Dr. Ryan S. Dhindsa, Dhindsa Lab

Dr. Ryan S. Dhindsa, assistant professor of pathology and immunology at Baylor and principal investigator at the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, and his team have developed an artificial intelligence-based approach that will help doctors to identify genes tied to neurodevelopmental disorders. Their research was recently published the American Journal of Human Genetics.

Dhindsa Lab uses “human genomics, human stem cell models, and computational biology to advance precision medicine.” The diagnoses that stem from the new computational tool could include specific types of autism spectrum disorder, epilepsy and developmental delay, disorders that often don’t come with a genetic diagnosis.

“Although researchers have made major strides identifying different genes associated with neurodevelopmental disorders, many patients with these conditions still do not receive a genetic diagnosis, indicating that there are many more genes waiting to be discovered,” Dhindsa says. Learn more.

Khaliah Guillory, Founder of Nap Bar

From nap research to diversity and inclusion, this entrepreneur is making Houston workers more productiveFrom opening Nap Bar and consulting corporations on diversity and inclusion to serving the city as an LGBT adviser, Khaliah Guillory is focused on productivity. Courtesy of Khaliah Guillory

Khalia Guillory launched her white-glove, eco-friendly rest sanctuary business, Nap Bar, in Houston in 2019 to offer a unique rest experience with artificial intelligence integration for working professionals, entrepreneurs and travelers who needed a place to rest, recharge and rejuvenate.

Now she is ready to take it to the next level, with a pivot to VR and plans to expand to 30 locations in three years.

Guillory says she’s now looking to scale the business by partnering with like-minded investors with experience in the wellness space. She envisions locations at national and international airports, which she says offer ripe scenarios for patrons needing to recharge. Additionally, Guillory wants to build on her initial partnership with UT Health by going onsite to curate rest experiences for patients, caregivers, faculty, staff, nurses and doctors. Colleges also offer an opportunity for growth. Learn more.