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

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

Artificial intelligence is changing Houston — one industry at a time. Photo via Getty Images

3 ways artificial intelligence is changing Houston's future

Guest column

Artificial intelligence is the buzzword of the decade. From grocery shopping assistance to personal therapy apps, AI has sunk its teeth into every single industry. Houston is no exception to the AI boom. Enterprise-level companies and startups are already flocking to H-town to make their mark in AI and machine learning.

Since the world is generating more data every minute — 1,736 terabytes to be exact — Houston-based companies are already thinking ahead about how to make sense of all of that information in real-time. That's where AI comes in. By 2021, 80 percent of emerging technologies will have AI foundations — Houston is already ninth on the list of AI-ready cities in the world.

AI and machine learning can process large amounts of data quickly and use that data to inform decisions much like a human would. Here are three ways Houston-based companies are using these emerging technologies to revolutionize the city's future.

Health care

The health care industry is primed for AI's personalization capabilities. Each patient that doctors and nurses encounter has different symptoms, health backgrounds, and prescriptions they have to remember. Managing that amount of information can be dangerous if done incorrectly. With AI, diseases are diagnosed quicker, medications are administered more accurately, and nurses have help monitoring patients.

Decisio Health Inc., a Houston-based health tech startup has already made its mark in the healthcare industry with its AI software helping to tackle the COVID-19 pandemic. Their software, in collaboration with GE Healthcare Inc, allows health care providers to remotely monitor patients. By looking at data from ventilators, patient monitoring systems, health records, and other data sources, doctors can make better decisions about patients from a safe distance.

Climate change

Climate change isn't solved overnight. It's an issue that covers water salinity, deforestation, and even declining bee populations. With a problem as large as climate change, huge amounts of data are collected and need to be analyzed. AI can interpret all of that information, show possible future outcomes, track current weather patterns, and find solutions to environmental destruction.

One Houston-based company in the energy tech industry, Enovate Upstream, has created a new AI platform that will help digitize the oil and gas sector. Their AI-powered platform looks at data from digital drilling, digital completions, and digital production, to give oil companies real-time production forecasting. Their work will hopefully make their oil production more efficient and reduce their carbon emission output. Since oil drilling and fracking are a major cause for concern around climate change, their work will make a difference in slowing climate change and make their industry as a whole more climate-conscious.

Energy

Energy is an industry rich with data opportunities—and as Houston's energy sector grows, AI has become a core part of their work. Houston's large influence in the energy sector has primed it for AI integration from startups like Adapt2 Solutions Inc. By using AI and machine learning in their software, they hope to help energy companies make strategic predictions on how to serve energy to the public efficiently. Their work has become especially important in the wake of COVID-19 and the resulting changing energy needs.

Another Houston-based company using AI to influence the energy industry is the retail energy startup Evolve Energy. Their AI and machine learning system help customers find better prices on fluctuating renewable resource—helping them save money on electricity and reducing emissions. The positive feedback from the public on their AI model has shown how energy companies are using emerging technologies like AI in a positive way in their communities.

The bottom line

Houston is more primed than most cities to integrate AI and machine learning into every industry. While there are valid concerns as to how much we should lean on technology for necessary daily tasks, it's clear that AI isn't going anywhere. And it's clear that Houston is currently taking the right steps to continue its lead in this emerging AI market.

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Natasha Ramirez is a Utah-based tech writer.

We're living in the age of machine learning and artificial intelligence. Miguel Tovar/University of Houston

Now is the time to expand machine learning, says Houston researcher

Houston voices

One might not expect the game of checkers to have anything to do with artificial intelligence, but the game really marked the beginning of machine learning in 1959. Pioneered by an MIT professor named Arthur Lee Samuel, it was discovered that teaching a simple strategy game to a computer is not so simple when every move needs to be anticipated.

Smart machines Additionally, in a Forbes article about the difference between artificial intelligence and machine learning, Bernard Marr comments, "Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider 'smart'. And, machine learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves."

That's the premise of many a movie involving computers which become sentient, but is it really science fiction anymore?

Meet the new boss

Teaching a computer to think like a human is advantageous and includes the added bonus of increased speed. Computers aren't biased, either — which is why huge corporations, such as Unilever, use computers to thin out their first wave of applicants. You actually interview with a bot when you begin the employment process there.

Cause and effect AI and ML are often used in cybersecurity efforts — at least one would suppose. But in Security magazine, Jordan Mauriello writes: "AI/ML cannot do causation." That means artificial intelligence cannot, at this point in time, tell you why something happened. The why? is best left to experts who deal with game theory and other ways of determining how to defend against hypothetical attacks.

Get in on the ground floor

The field is growing and students at colleges across the country are beginning to train for careers in it in droves.

"America's top colleges are ramping up their research efforts and developing concentrations for their computer science degree programs to accommodate this high-tech field," writes Great Value Colleges on their blog. It looks as though this discipline is on an upward trajectory and shows no sign of slowing down.

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This article originally appeared on the University of Houston's The Big Idea. Sarah Hill, the author of this piece, is the communications manager for the UH Division of Research.

Houston-based Evolve Energy uses a subscription-based wholesale energy plan to help its customers find better prices for more sustainable resources. Photo via evolvemyenergy.com

AI-backed retail energy startup based in Houston prepares to grow its technology

new tech

A wholesale retail energy startup based in Houston is preparing to scale its artificial intelligence-backed business based on its positive customer feedback

Evolve Energy uses AI and machine learning to optimize energy usage, providing customers with the best wholesale energy prices on fluctuating renewable resources.

"We want to help our customers save a significant amount of money on electricity costs and help them decarbonize the grid," CEO Michael Lee tells InnovationMap."There's been a serious of emerging events that enable us to do both at the same time, it's no longer a choice."

Evolve Energy, founded in 2018, sells wholesale electricity at cost to residential customers in Texas, charging a $10 monthly subscription fee plus the cost of wholesale electricity. Using their AI technology, they predict when price surges are likely and determine how much energy the customer needs to hit the parameters set on the app by the customer and usage history. The customer does not need to do anything but pair Evolve with their smart thermostat.

According to Lee, this enables customers to continue to use the same volume of electricity but cut their bill by 40 percent over the course of a year. Evolve uses a different business model, positioning itself not as energy providers but as efficient energy managers, passing their wholesale rate with no markup for even more savings to the customer.

"It builds a lot of trust between the customer and the supplier, they truly see that our incentive is to save them money and not to sell them any more power," Lee says.

With the increasing trend of electrification, Lee sees the role of energy companies grow in importance. This gives energy managers like Evolve a magnified role as machine learning and AI becomes imperative to shift consumption when renewables are cheaper on the grid.

Evolve is backed by several investors including Matt Rogers, the original co-founder of Nest thermostats through his investment platform, Incite; Urban-X funded by BMW MINI which focuses on smart applications; and the Austin-based startup accelerator and investor, Capital Factory.

The company has been officially on the market for the past two months, but it's already working on deploying capital to build in features requested by customers. Evolve expects significant growth in the next few years due to its highly scalable model.

"I'm just glad we could create a product that no longer makes it a choice between reducing emissions and saving money," Lee says.

Houston's DataCon can help prepare business leaders for the digital revolution in AI and machine learning. Getty Images

Houston companies need to get ready for an artificial intelligence and machine learning revolution

The future is now

Looming on the horizon is a data tsunami coming towards us at breakneck speed. Companies have worked hard to keep up, creating digital transformation, taking manual processes from desktops, clipboards, and the paper paradigm to the Cloud. We're now sitting on huge quantities of idle bits of information called dark data. It's over collected and unused data that has the potential power to create decision-making brilliance.

Business leaders are attempting to optimize siloed data – unrelated data collected in databases and spreadsheets or obsolete apps, to make critical decisions. We currently connect these siloes with other systems using a data processing step called ETL – Extract, Transform and Load. Take the data from one place, transform it so it can relate to another data resource and then load that data to another place for analysis. It's a big, time consuming, intermediary step we have figured out how to circumvent. "NoETL" technology is the next-generation magic wand of machine thinking and it's a game-changer.

As non-technical business leaders, we rely on our partners in IT to give us meaningful data that charts our course. They've been our faithful navigators. We've made the recommended investment in IT infrastructure and technology and counted on receiving analytics that will result in winning outcomes. It's now time to sit down at the table and have new conversations with IT leadership around AI.

A tectonic shift

We are now in a new place. AI has come upon us quickly and the promise of ROI is great. There are new technologies that give business leaders advantages never before realized. Data science is the new crystal ball to the future of business. Automation and machine learning are taking historical data to a look ahead using algorithms and mathematical modeling. It's a new predictive mindset. What business leader wouldn't want that crystal ball?

The real assets of your business exist not in better machines but in your current data stores which are like coal mines waiting for data science to turn those lumps of coal into data diamonds.

There are new vocabulary words associated with data analytics. Data science thought leaders are preparing the way for businesses to have learning opportunities and to know which resources to tap for direction in creating new competitive dynamics. Don't wait too long to be curious. The early adopters are already a step ahead and the competitive marketplace is changing in unexpected ways.

Leadership resources for the implementation of AI

Legacy businesses with data lakes are ripe for action. Who should lead the charge? It's up to the C-suite to have intentional conversations around data science. It's up to leadership to be ready to speak and understand new concepts and vocabulary combined with leaps of faith needed to join the new world order of information.

Learning resources 

Proactively look for learning opportunities. There are no excuses for not taking the initiative. No matter where you are in your career – this isn't something to linger about.

One upcoming seminar around AI and automation collaboration and education is DataCon Houston. It's an annual conference that brings important concepts around AI and Automation to business leaders. The target audience is not IT professionals, although there will be some in attendance; it's meant primarily to help the C-suite and non-technical leaders know where to begin and where to find that new vocabulary and translative resources. AI will affect every person in every business, and we must be ready for the cultural shifts that will come with the technological shifts.

Authors and thought leaders — George Danner, Dave McComb, and Gerald Kane will be speaking at DataCon October 10, 2019. In addition, Javier Fadul, director of innovation for HTX Labs will be speaking about XR and data visualization and its use in training employees and creating safer workplaces. Stefanos Damianakis will be teaching machine learning 101 and Juan Sequeda, principal scientist of data.world will present his UltraWrap NoETL patented technology.

Solving the unsolvable

The future of decision-making will render in blinks of an eye. Problems we thought unsolvable will suddenly have answers. Business leaders must get behind the leap of faith required for our own companies and push learning and understanding forward across the organization at all levels. AI and machine learning are the vortex of change. Are you ready for AI?

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Suzette Cotto is CEO of Innovate Social Media, a digital marketing agency specializing marketing for startups in the medical, technology, and energy industries. For more information on DataCon Houston 2019, please visit: https://incitelogix.com/datacon-houston-2019/

This entrepreneur says the future of driving is using smart tech on a subscription-based business model. Pexels

This company’s machine learning programs are making driving in Houston safer — and cheaper

Vroom, Vroom

Two thousand years ago, in ancient Rome, the primary mode of transportation was an intelligent one: the horse. The Latin word "currus" was the inspiration for Alex Colosivschi when it came to naming his business, Currux.

"We chose this name because we believe in a future where cars and actually most modes of transportation will be intelligent, like horses," he explains. "And so it's a great name considering our focus on the future of mobility and machine learning."

The change from "s" to "x" at the end of the word allowed Colosivschi to trademark the name.

The entrepreneur, whose career was focused on energy finance until starting the new company in 2017, came up with the idea for Currux while walking in his Rice Village neighborhood. He realized that despite the green surroundings, he was choked by the smell of engine exhaust.

"I started with thinking about the future of energy and how the industry will adapt to a world of electric, autonomous and shared mobility, and the need to reduce CO2 emissions," he says.

His goal is an ambitious one: With Currux, Colosivschi hopes to not only reduce the cost and carbon footprint of owning a car, but also the accident rates. How? Currux itself is a long-term automobile subscription service. Colosivschi says to think of it as a long-term rental or a more flexible version of a lease. The car is delivered through an app and there is no commitment at the end of the subscription. Regular maintenance is included and the company is on the way to providing insurance, too.

It's also possible to share a car or fleet of cars with friends, assuring that your vehicle is only touched by people you know. This will be even more true when autonomous driving technology allows the car to go from subscriber to subscriber without a human in between.

"With the advent of digital shopping, we believe subscriptions will become the primary way that people get a car," Colosivschi predicts.

This will save clients money, but the ultimate goal is much bigger. Colosivschi wants to reduce air pollution. This will happen naturally with having fewer, mostly electric, cars on the road thanks to vehicle sharing, but another technology will also aid in the fight.

Currux Vision, which closely followed Currux in development, is a smartphone-based driver assistance program. It will help lower fuel consumption and reduce accident rates by "proactively coaching the driver on best driving practices," says Colosivschi.

"Just by slowing down and driving in a less aggressive manner, we can significantly reduce fuel consumption and more importantly prevent accidents from happening."

If you've driven or ridden in a Tesla, you've seen similar technology in action. Computer vision creates accident warnings and tracks how you handle your vehicle on the road. Yep, it's AI for your phone, which also incorporates GPS tracking, navigation and driver profile scoring.

"This set of functionalities normally require three or four different types of hardware and software systems and many thousands of dollars in expense per each car," explains Colosivschi.

But Currux Vision only requires that the user install the app, have a car-mounted phone holder with an unobstructed view of the road, and pay $4.99 each month for the technology.

Both these apps were created by Currux's own technical team, based mostly in Ukraine. As the company expands, Colosivschi has plans to significantly grow the Galleria-area Houston team, which is currently just a few employees strong.

But Colosivschi is ready for big growth. Currently, Currux is available only in Houston, but other U.S. cities will follow soon. As an energy industry lifer, the entrepreneur is also primed for significant changes not only to how we drive, but how we consume energy.

"The age of the internal combustion engine and automobile ushered in the age of oil. The age of lithium ion batteries, machine learning and digitization of transaction mediums similarly will have profound effects for both transportation and energy sectors," he predicts. He's confident that Currux can grow with those sea changes. And he's ready to help transform the world, starting with Houston.

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CultureMap Emails are Awesome

10+ can't-miss Houston business and innovation events for April

where to be

It's time to look at what's on the agenda for April for Houston innovators — from pitch competitions to networking events.

Here's a roundup of events not to miss this month. Mark your calendars and register accordingly.

Note: This post might be updated to add more events.

April 4 — A.I. Digital and the Future of Energy

In the latest installment of UH Energy's "Critical Issues in Energy" Symposium Series, the speakers will take a deeper dive into the role of A.l. within the energy marketplace, specifically with what is being done with A.I. and what is capable of being done. In addition to this pivotal look at one crucial aspect of the energy transition, attendees will be afforded networking opportunities with speakers and distinguished guests, and food/refreshments will be provided.

The event is Tuesday, April 4, from 5:30 to 7:30 pm, at the University of Houston. Click here to register.

April 5 — Creating & Sustaining Innovation & Entrepreneurship

Join us for a fireside chat discussing the growth of entrepreneurship & a panel on demystifying the patent process.

The event is Wednesday, April 5, from 9 to 11:30 am, at the Ion. Click here to register.

April 5 — HAN Angel Academy

Learn angel investing best practices from Capital Factory co-founder and chairman, Gordon Daugherty in a half-day bootcamp format for accredited investors.

The event is Wednesday, April 5, from 11 am to 4 pm, at Rice University - Shell Auditorium. Click here to register.

April 11 — Future of Health Care

The Greater Houston Partnership's inaugural Future of Health Care event highlights one of the region's major industry sectors driven by world-class institutions and professional talent.

The event is Wednesday, April 11, from 10:30 am to 1:30 pm, at the Royal Sonesta. Click here to register.

April 11 — Idea to Impact: Navigating the Challenges to Commercializing University Discoveries

Amazing discoveries are made in university labs every day, yet most of them never develop into widely accessible commercial products. Why? And what can universities do to change that? As part of Rice University's "Betterment of the World" Scientia Lecture Series, join Rice Business on April 11 at 4 pm virtually or in person (Shell Auditorium, McNair Hall) to hear Yael Hochberg, Professor in Entrepreneurship at the Jones Graduate School of Business, as she discusses the challenges in commercializing university research discoveries.

The event is Wednesday, April 11, from 4 to 5 pm, at Rice University and online. Click here to register.

April 11 — Greentown Houston Climatetech Career Fair 2023

Greentown Labs and ALLY Energy welcomes all professionals, students, and soon-to-be graduates to join us for the Greentown Houston Career Fair, which focuses on connecting professionals directly with Greentown Houston’ network of founders, CEOs, and cutting-edge climatetech startups looking for bright and eager talent.

The event is Tuesday, April 11, from 4:30 to 6:30 pm, at Greentown Houston. Click here to register.

April 15 — Earth Day Clothing Swap Party with Sustainable Fashion & Earth Month HTX

A clothing swap is a fun, alternative solution to thrift shopping or secondhand fashion that allows you to clean out the clothes you no longer wear and in return bring home new additions to your closet - all for free and hosted by Houston startup RESTATEMENT.

The event is Saturday, April 15, from noon to 5 pm, at Patterson Park. Click here to register.

April 17-18 — AI Powered Renewable Energy Workshop

AI Houston Institute of Rice University in partnership with Ion is getting together experts from academia and industry working on the application of artificial intelligence in solving some of the most complex challenges facing the Energy industry as it transitions into alternative sources of energy that are green and sustainable.

The event is Monday, April 17, to Tuesday, April 18, at the Ion. Click here to register.

April 19 — Investor Studio Series: Dream Big Ventures x Ion x Mendoza Ventures

Underrepresented founders face a lot of barriers, including rarely seeing VC dollars. However, Dream Big Ventures and Mendoza Ventures are looking to change those statistics to help diverse founders succeed. Join Dream Big Ventures Founder and CEO Staci LaToison, and Mendoza Ventures Co-Founders Senofer Mendoza and Adrian Mendoza, as they discuss the growth of women and Latinas in Fintech, AI, and Cybersecurity in this fireside chat.

The event is Wednesday, April 19, from 5 to 7 pm, at the Ion. Click here to register.

April 19 — The H. Albert Napier Rice Launch Challenge Championships

Join Liu Idea Lab for Innovation and Entrepreneurship and support Rice University student ventures at the H. Albert Napier Rice Launch Challenge (NRLC) Championships on Wednesday, April 19. Five student finalists will pitch their ventures to compete for the chance to win a share of $100,000 in equity-free funding.

The event is Wednesday, April 19, from 5:30 to 9 pm, at Rice University. Click here to register.

April 20 — Female Founders and Funders

Calling all rockstar female founders and investors in the Houston area. Mark your calendars for this month's Female Founders and Funders meetup. Coffee and breakfast is provided and the event is free to attend.

The event is Thursday, April 20, from 9 to 10 am, at Sesh Coworking. Click here to register.

Texas researchers name ancient beaver fossil after favorite Texas gas station

Beaver Country

The legend of a treasured gas station chain continues with a new chapter: a rediscovered beaver fossil is being named after Buc-ee’s.

The ancient animal was named Anchitheriomys buceei (A. buceei) by Steve May, a research associate at the University of Texas Jackson School of Geosciences and lead author of the Palaeontologia Electronica paper that describes the beaver.

A. buceei fossils were rediscovered by researchers in UT Austin’s collections and include fossils from six different Texas sites. May decided to name A. buceei after Buc-ee’s after spotting a “This is Beaver Country” billboard in 2020 that reminded him of the fossils he was studying at the time.

Though Buc-ee’s was founded in 1982, CEO Arch “Beaver” Alpin III said in a press release that his business’ history is longer than he thought, and that he may “need to rethink [their] beginnings.”

Occurrences of A. buceei can be found between 15 and 22 million years ago along the state’s gulf coast. At first glance, they don’t appear much different from current native Texas beavers. But according to the report’s co-author Matthew Brown, who is also the director of the Jackson School’s vertebrate paleontology collections, they are nearly 30 percent bigger than today’s beavers.

A partial skull fossil of the beaver was originally collected in 1941 by paleontologists. One of the original finders was Texas A&M University museum curator Curtis Hesse, who passed away four years later before he could name it a new species and publish his study.

More information about A. buceei can be found on UT Austin’s website.

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This article originally ran on CultureMap.