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.

The UH team is developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources. Photo via Getty Images

Houston researcher scores prestigious NSF award for machine learning, power grid tech

grant funding

An associate professor at the University of Houston received the highly competitive National Science Foundation CAREER Award earlier this month for a proposal focused on integrating renewable resources to improve power grids.

The award grants more than $500,000 to Xingpeng Li, assistant professor of electrical and computer engineering and leader of the Renewable Power Grid Lab at UH, to continue his work on developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources, according to a statement from UH. This work has applications in the events of large disturbances to the grid.

Li explains that currently, power grids run off of converted, stored kinetic energy during grid disturbances.

"For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation,” Li said in a statement. “However, as the proportion of wind and solar power increases in the grid, we want to maximize their use since their marginal costs are zero and they provide clean energy. Since we reduce the use of those traditional generators, we also reduce the power system inertia (or stored kinetic energy) substantially.”

Li plans to use machine learning to create more streamlined models that can be implemented into day-ahead scheduling applications that grid operators currently use.

“With the proposed new modeling and computational approaches, we can better manage grids and ensure it can supply continuous quality power to all the consumers," he said.

In addition to supporting Li's research and model creations, the funds will also go toward Li and his team's creation of a free, open-source tool for students from kindergarten up through their graduate studies. They are also developing an “Applied Machine Learning in Power Systems” course. Li says the course will help meet workforce needs.

The CAREER Award recognizes early-career faculty members who “have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. It's given to about 500 researchers each year.

Earlier this year, Rice assistant professor Amanda Marciel was also

granted an NSF CAREER Award to continue her research in designing branch elastomers that return to their original shape after being stretched. The research has applications in stretchable electronics and biomimetic tissues.

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This article originally ran on EnergyCapital.

The NIH grant goes toward TransplantAI's work developing more precise models for heart and lung transplantation. Photo via Getty Images

Houston health tech company scores $2.2M grant to use AI to make organ transplants smarter, more successful

future of medicine

The National Institute of Health has bestowed a Houston medtech company with a $2.2 million Fast-Track to Phase 2 award. InformAI will use the money for the product development and commercialization of its AI-enabled organ transplant informatics platform.

Last year, InformAI CEO Jim Havelka told InnovationMap, “A lot of organs are harvested and discarded.”

TransplantAI solves that problem, as well as organ scarcity and inefficiency in allocation of the precious resource.

How does it work? Machine learning and deep learning from a million donor transplants informs the AI, which determines who is the best recipient for each available organ using more than 500 clinical parameters. Organ transplant centers and organ procurement organizations (OPOs) will be able to use the product to make a decision on how to allocate each organ in real time. Ultimately, the tool will service 250 transplant centers and 56 OPOs around the United States.

The NIH grant goes toward developing more precise models for heart and lung transplantation (kidney and liver algorithms are further along in development thanks to a previous award from the National Science Foundation), as well as Phase 2 efforts to fully commercialize TransplantAI.

"There is an urgent need for improved and integrated predictive clinical insights in solid organ transplantation, such as for real-time assessment of waitlist mortality and the likelihood of successful post-transplantation outcomes," according to the grant’s lead clinical investigator, Abbas Rana, associate professor of surgery at Baylor College of Medicine.

“This information is essential for healthcare teams and patients to make informed decisions, particularly in complex cases where expanded criteria allocation decisions are being considered," Rana continues. "Currently, the separation of donor and recipient data into different systems requires clinical teams to conduct manual, parallel reviews for pairing assessments. Our team, along with those at other leading transplant centers nationwide, receives hundreds of organ-recipient match offers weekly.”

Organ transplantation is moving into the future, and Transplant AI is at the forefront.

Houston can learn a lot from the decades of success from Silicon Valley, according to this Houston founder, who outlines just what all the city needs to do to become the startup city it has the potential to be. Photo via Getty Images

Houston expert: Can Houston replicate and surpass the success of Silicon Valley?

guest column

Anyone who knows me knows, as a Houston Startup Founder, I often muse about the still developing potential for startups in Houston, especially considering the amount of industry here, subject matter expertise, capital, and size.

For example, Houston is No. 2 in the country for Fortune 500 Companies — with 26 Bayou City companies on the list — behind only NYC, which has 47 ranked corporations, according to Fortune.

Considering layoffs, fund closings, and down rounds, things aren’t all that peachy in San Francisco for the first time in a long time, and despite being a Berkeley native, I’m rooting for Houston now that I’m a transplant.

Let’s start by looking at some stats.

While we’re not No. 1 in all areas, I believe we have the building blocks to be a major player in startups, and in tech (and not just energy and space tech). How? If the best predictor of future success is history, why not use the template of the GOAT of all startup cities: San Francisco and YCombinator. Sorry fellow founders – you’ve heard me talk about this repeatedly.

YCombinator is considered the GOAT of Startup Accelerators/Incubators based on:

  1. The Startup success rate: I’ve heard it’s as high as 75 percent (vs. the national average of 5 to 10 percent) Arc Search says 50 percent of YC Co’s fail within 12 years – not shabby.
  2. Their startup-to-unicorn ratio: 5 to 7 percent of YC startups become unicorns depending on the source — according to an Arc Search search (if you haven’t tried Arc Search do – super cool).
  3. Their network.

YC also parlayed that success into a "YC Startup School" offering:

  1. Free weekly lessons by YC partners — sometimes featuring unicorn alumni
  2. A document and video Library (YC SAFE, etc)
  3. Startup perks for students (AWS cloud credits, etc.)
  4. YC co-founder matching to help founders meet co-founders

Finally, there’s the over $80 billion in returns, according to Arc search, they’ve generated since their 2005 inception with a total of 4,000 companies in their portfolio at over $600 billion in value. So GOAT? Well just for perspective there were a jaw-dropping 18,000 startups in startup school the year I participated – so GOAT indeed.

So how do they do it? Based on anecdotal evidence, their winning formula is said to be the following well-oiled process:

  1. Bring over 282 startups (the number in last cohort) to San Francisco for 90 days to prototype, refine the product, and land on the go-to-market strategy. This includes a pre-seed YC SAFE investment of a phased $500,000 commitment for a fixed min 7 percent of equity, plus more equity at the next round’s valuation, according to YC.
  2. Over 50 percent of the latest cohort were idea stage and heavily AI focused.
  3. Traction day: inter-portfolio traction the company. YC has over 4,000 portfolio companies who can and do sign up for each other’s companies products because “they’re told to."
  4. Get beta testers and test from YC portfolio companies and YC network.
  5. If they see the traction scales to a massively scalable business, they lead the seed round and get this: schedule and attend the VC meetings with the founders.
  6. They create a "fear of missing out" mentality on Sand Hill Road as they casually mention who they’re meeting with next.
  7. They block competitors in the sector by getting the top VC’s to co-invest with then in the seed so competitors are locked out of the A list VC funding market, who then are up against the most well-funded and buzzed about players in the space.

If what I've seen is true, within a six-month period a startup idea is prototyped, tested, pivoted, launched, tractioned, seeded, and juiced for scale with people who can ‘make’ the company all in their corner, if not already on their board.

So how on earth can Houston best this?

  1. We have a massive amount of businesses — around 200,000 — and people — an estimated 7.3 million and growing.
  2. We have capital in search of an identity beyond oil.
  3. Our Fortune 500 companies that are hiring consultants for things that startups here that can do for free, quicker, and for a fraction of the extended cost.
  4. We have a growing base of tech talent for potential machine learning and artificial intelligence talent
  5. A sudden shot at the increasingly laid off big tech engineers.
  6. We have more accelerators and incubators.

What do we need to pull it off?

  1. An organized well-oiled YC-like process
  2. An inter-Houston traction process
  3. An "Adopt a Startup" program where local companies are willing to beta test and iterate with emerging startup products
  4. We have more accelerators but the cohorts are small — average five to 10 per cohort.
  5. Strategic pre-seed funding, possibly with corporate partners (who can make the company by being a client) and who de-risk the investment.
  6. Companies here to use Houston startup’s products first when they’re launched.
  7. A forum to match companies’ projects or labs groups etc., to startups who can solve them.
  8. A process in place to pull all these pieces together in an organized, structured sequence.

There is one thing missing in the list: there has to be an entity or a person who wants to make this happen. Someone who sees all the pieces, and has the desire, energy and clout to make it happen; and we all know this is the hardest part. And so for now, our hopes of besting YC may be up in the air as well.

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Jo Clark is the founder of Circle.ooo, a Houston-based tech startup that's streamlining events management.

The $63.5 million contract aims to support UH in developing analytical modeling and simulation platforms that help the U.S. Army make timely and effective decisions. Photo via uhsystem.edu

University of Houston lands $63.5M contract with DOD to develop tech for the 'future battlefield'

ready to innovate

The University of Houston was recently awarded its largest grant in history—this time, from the U.S. Department of Defense.

The $63.5 million contract aims to support UH in developing analytical modeling and simulation platforms that help the U.S. Army make timely and effective decisions, according to a release from UH.

Craig Glennie, professor of civil and environmental engineering and director of engineering defense research initiatives at the UH Cullen College of Engineering, who is leading the project, says the team's work will focus on creating tools for the time period before conflict begins.

“We are not looking at what happens once bullets start flying. We are looking at what happens during the competition and crisis phases, the buildup and the posturing and the projection of forces before you actually get to the point of armed conflict,” he says in a statement. “The Army needs tools to understand how they can effectively position themselves and project their force towards the adversary in such a manner that they can avoid armed conflict, or if that is not possible, be prepared for the onset of armed conflict.”

The team, which also includes members from the University of Massachusetts Amherst, New Mexico State University and other organizations, will work closely with the U.S. Army Combat Capabilities Development Command Analysis Center, known as DAC. They've been commissioned to help build realistic modeling, analysis and simulation tools that the Army can use in the "future battlefield."

DAC has named several high priority issues for the team including quantum technology, artificial intelligence, and machine learning.

“For example, we will look at the electromagnetic spectrum, at owning the airspace, and projecting that we have the radio frequency technology that is capable of jamming a neighbor’s signals," Glennie adds.

UH president Renu Khator says the university is honored to revive the contract.

“We understand the significance of this project in enhancing the Army’s decision-making capabilities, and we are proud to contribute to our nation’s security and strategic competitiveness," she said in a statement. "We look forward to the remarkable contributions that will emerge from this collaboration, strengthening the University of Houston’s commitment to driving innovation that matters.”

UH has inked a number of grants and contracts in recent months that are pushing innovative initiatives forward at the university.

Last month, UH received a $100,000 grant from the Baker Hughes Foundation to go toward workforce development programs, and environmental justice research at its Energy Transition Institute. The ETI was launched last year through a $10 million grant from Shell USA Inc. and Shell Global Solutions (US) Inc.

And earlier this month, Houston-based The Welch Foundation awarded its inaugural $5 million Catalyst for Discovery Program Grant to a new initiative led by Jeffrey Rimer, UH's Abraham E. Dukler Professor of Chemical Engineering. The grant launched the Welch Center for Advanced Bioactive Materials Crystallization, which will build upon Rimer's work relating to the use of crystals to help treat malaria and kidney stones.

Craig Glennie, professor of civil and environmental engineering and director of engineering defense research initiatives at the UH Cullen College of Engineering, is leading the project. Photo via uh.edu

UH is officially part of an initiative to diversify machine learning research. Photo courtesy of University of Houston

University of Houston joins $50M initiative to expand and diversify AI and machine learning research

money moves

A $50 million grant from the National Institutes of Health is expanding research in machine learning and artificial intelligence, and the University of Houston now has a seat at the table.

UH has joined in on a national initiative to increase the diversity of artificial intelligence researchers, according to a news release from the school. Thanks to a $50 million grant from the National Institutes of Health, the University of North Texas Health Science Center will lead the coordinating center of the AIM-AHEAD program, which stands for Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity.

"Beyond health care, AI has been used in areas from facial recognition to self-driving cars and beyond, but there is an extreme lack of diversity among the developers of AI/ML tools. Many studies have shown that flawed AI systems and algorithms perpetuate gender and racial biases and have resulted in untoward outcomes," says Bettina Beech, chief population health officer at the University of Houston and newly named AIM-AHEAD coordinating center team member.

The initiative will bring together collaborators and experts across AI and machine learning, health equity research, data science training, data infrastructure and more. The other universities involved include: University of Colorado-Anschutz Medical Center in Aurora; University of California, Los Angeles; Meharry Medical College in Nashville; Morehouse School of Medicine in Atlanta; Johns Hopkins University, and Vanderbilt University Medical Center.

"This network will be foundational to achieving the goals of the AIM-AHEAD program, which include providing more inclusive data for health disparities research, and enhancing the diversity of AI/ML leadership," says Susan Gregurick, NIH associate director for data science, in the release.

Unfortunately, AI — designed by humans — mimics human decision making through its choice of algorithms. This means that the same biases humans deal with have made it into the AI decision making too. These gaps can lead to continued disparities and inequities for underrepresented communities especially in regards to health care, job hiring, and more.

"AI solutions need to be implemented in a responsible manner and are now guided by AI ethical FAIR (findable, accessible, interoperable, reusable) principles," says Beech in the release. "The AIM-AHEAD project directly connects with the University of Houston's plan to train and diversify the future workforce in population health, increase the use of digital tools for chronic disease self-management, and to advance population health research."

Bettina Beech is the chief population health officer at the University of Houston and newly named AIM-AHEAD coordinating center team member. Photo via UH.edu

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Houston-based equitable entrepreneurship tech platform expands programs

coming soon

Fresh off of celebrating the dismissal of a lawsuit from former Trump Administration officials, Hello Alice is expanding some of its offerings for entrepreneurs.

In partnership with top organizations — like Progressive, Antares Capital, Wells Fargo, and FedEx — Hello Alice has added new offerings for its 2024 Boost Camp programs, a mix of skill-building support and grant opportunities.

“We are fortunate to continue working with great enterprise partners who share our commitment to supporting Main Street through crucial grants and mentorship programs,” Carolyn Rodz, CEO and co-founder of Hello Alice, says in a news release. “Small businesses drive our economy, yet often lack the necessary financing and resources. By partnering with major companies, Hello Alice is ensuring that small businesses have access to the tools and opportunities they need to thrive and create jobs in their local communities. Together, we are building a robust support system that fosters innovation and growth for small businesses across the country.”

This year's programs, according to Hello Alice, are as follows:

  • Antares Capital REACH Cohort: The Antares REACH Grant Program provides $20,000 grants to small businesses. Grant recipients will also take part in Antares’ Growth Track Boost Camp program, a digital community which will be home to monthly business coaching workshops, mentorship, networking, and more. Applications are open until June 28, and the program begins August 8.
  • Progressive Driving Small Business Forward Grant & Booster Camp Program: Progressive is dedicating $1 million to award 20 deserving businesses with a $50,000 grant each. Grant recipients will be invited to attend an exclusive 12-week virtual Boost Camp coaching program. Applications have closed for the program beginning September 10.
  • Wells Fargo: Wells Fargo is supporting four virtual accelerator programs over the next 18 months, designed to support up to 500 participants for each program, with a focus on business health and credit-building practices. Applications will be announced this summer for the program, which will begin in early fall.
  • FedEx: The FedEx Entrepreneur Fund supports entrepreneurs in the United States by providing them with the necessary funding, resources, and networks to enhance the success of their businesses, including the Boost Camp coaching program.
  • Applications will be announced this fall for the program, which will begin in the winter.

More information and application access is available online.

Last year's Boost programs benefitted 100 small businesses, according to Hello Alice, which reported that the 2023 Antares REACH Cohort resulted in 60 percent of participants seeing an increase in their Business Health Score and 93 percent felt better equipped to confront challenges and capitalize on opportunities. In the end, 85 percent of participants feeling more optimistic about their business growth prospects.

"Hello Alice is proud to partner with high-level enterprise companies to empower small businesses and foster their success," Natalie Diamond, vice president of business development at Hello Alice, adds. "Together, we are creating unparalleled opportunities for entrepreneurs to achieve brand success, drive financial fitness, and thrive in today's competitive market. Our joint endeavors not only offer access to capital and resources but also provide tailored guidance and mentorship, arming small business owners with the insights and support necessary to navigate challenges and seize growth opportunities.”

Houston company's sustainable oil product reaches milestone production capacity 5 years early

overachieving

Houston-based biotech company Cemvita has achieved a key production goal five years ahead of schedule.

Thanks to technology advancements, Cemvita is now capable of generating 500 barrels per day of sustainable oil from carbon waste at its first commercial plant. As a result, Cemvita has quadrupled output at the Houston plant. The company had planned to reach this milestone in 2029.

Cemvita, founded in 2017, says this achievement paves the way for increased production capacity, improved operational efficiency, and an elevated advantage in the sustainable oil market.

“What’s so amazing about synthetic biology is that humans are just scratching the surface of what’s possible,” says Moji Karimi, co-founder and CEO of Cemvita. “Our focus on the first principles has allowed us to design and create new biotech more cheaply and faster than ever before.”

The production achievement follows Cemvita’s recent breakthrough in development of a solvent-free extraction bioprocess.

In 2023, United Airlines agreed to buy up to one billion gallons of sustainable aviation fuel from Cemvita’s first full-scale plant over the course of 20 years.

Cemvita’s investors include the UAV Sustainable Flight Fund, an investment arm of Chicago-based United; Oxy Low Carbon Ventures, an investment arm of Houston-based energy company Occidental Petroleum; and Japanese equipment and machinery manufacturer Mitsubishi Heavy Industries.

Tech disruptions sparked by Texas co.'s update highlight the fragility of globally connected technology

Airlines, banks, hospitals and other risk-averse organizations around the world chose cybersecurity company CrowdStrike to protect their computer systems from hackers and data breaches.

But all it took was one faulty CrowdStrike software update to cause global disruptions Friday that grounded flights, knocked banks and media outlets offline, and disrupted hospitals, retailers and other services.

“This is a function of the very homogenous technology that goes into the backbone of all of our IT infrastructure,” said Gregory Falco, an assistant professor of engineering at Cornell University. “What really causes this mess is that we rely on very few companies, and everybody uses the same folks, so everyone goes down at the same time.”

The trouble with the update issued by CrowdStrike and affecting computers running Microsoft's Windows operating system was not a hacking incident or cyberattack, according to CrowdStrike, which apologized and said a fix was on the way.

But it wasn't an easy fix. It required “boots on the ground” to remediate, said Gartner analyst Eric Grenier.

“The fix is working, it’s just a very manual process and there’s no magic key to unlock it,” Grenier said. “I think that is probably what companies are struggling with the most here.”

While not everyone is a client of CrowdStrike and its platform known as Falcon, it is one of the leading cybersecurity providers, particularly in transportation, healthcare, banking and other sectors that have a lot at stake in keeping their computer systems working.

“They’re usually risk-averse organizations that don’t want something that’s crazy innovative, but that can work and also cover their butts when something goes wrong. That’s what CrowdStrike is,” Falco said. “And they’re looking around at their colleagues in other sectors and saying, ‘Oh, you know, this company also uses that, so I’m gonna need them, too.’”

Worrying about the fragility of a globally connected technology ecosystem is nothing new. It's what drove fears in the 1990s of a technical glitch that could cause chaos at the turn of the millennium.

“This is basically what we were all worried about with Y2K, except it’s actually happened this time,” wrote Australian cybersecurity consultant Troy Hunt on the social platform X.

Across the world Friday, affected computers were showing the “blue screen of death” — a sign that something went wrong with Microsoft's Windows operating system.

But what's different now is “that these companies are even more entrenched,” Falco said. "We like to think that we have a lot of players available. But at the end of the day, the biggest companies use all the same stuff.”

Founded in 2011 and publicly traded since 2019, CrowdStrike describes itself in its annual report to financial regulators as having “reinvented cybersecurity for the cloud era and transformed the way cybersecurity is delivered and experienced by customers.” It emphasizes its use of artificial intelligence in helping to keep pace with adversaries. It reported having 29,000 subscribing customers at the start of the year.

The Austin, Texas-based firm is one of the more visible cybersecurity companies in the world and spends heavily on marketing, including Super Bowl ads. At cybersecurity conferences, it's known for large booths displaying massive action-figure statues representing different state-sponsored hacking groups that CrowdStrike technology promises to defend against.

CrowdStrike CEO George Kurtz is among the most highly compensated in the world, recording more than $230 million in total compensation in the last three years. Kurtz is also a driver for a CrowdStrike-sponsored car racing team.

After his initial statement about the problem was criticized for lack of contrition, Kurtz apologized in a later social media post Friday and on NBC's “Today Show.”

“We understand the gravity of the situation and are deeply sorry for the inconvenience and disruption,” he said on X.

Richard Stiennon, a cybersecurity industry analyst, said this was a historic mistake by CrowdStrike.

“This is easily the worst faux pas, technical faux pas or glitch of any security software provider ever,” said Stiennon, who has tracked the cybersecurity industry for 24 years.

While the problem is an easy technical fix, he said, it’s impact could be long-lasting for some organizations because of the hands-on work needed to fix each affected computer. “It’s really, really difficult to touch millions of machines. And people are on vacation right now, so, you know, the CEO will be coming back from his trip to the Bahamas in a couple of weeks and he won’t be able to use his computers.”

Stiennon said he did not think the outage revealed a bigger problem with the cybersecurity industry or CrowdStrike as a company.

“The markets are going to forgive them, the customers are going to forgive them, and this will blow over,” he said.

Forrester analyst Allie Mellen credited CrowdStrike for clearly telling customers what they need to do to fix the problem. But to restore trust, she said there will need to be a deeper look at what occurred and what changes can be made to prevent it from happening again.

“A lot of this is likely to come down to the testing and software development process and the work that they’ve put into testing these kinds of updates before deployment,” Mellen said. “But until we see the complete retrospective, we won’t know for sure what the failure was.”