Trivie, which gamifies corporate training, has launched a new way for employees to connect with remote learning amid the pandemic. Photo via Trivie.com

How much of corporate training do employees actually remember? Texas-based Trivie, a training reinforcement app, sought to not only answer that question, but change the results entirely. Using adaptive learning and gamification, the Trivie app is reshaping online learning while the world adapts to remote working in a global pandemic.

According to Gallup Panel data, 62 percent of Americans currently say they have worked from home during the coronavirus pandemic. In a connected yet socially distanced environment, corporations are choosing to automate remote learning and disseminate critical COVID-19 guidelines with the help of Trivie.

One of Trivie's founders, Leland Putterman, who is based in Houston, first had the idea for a consumer-facing trivia game 18 years ago. When the app rolled out in 2013, it garnered more than three million downloads. Like anything in technology, App Store games were diversifying. Competing applications were deviating into in-app purchases — a move Putterman's app hadn't planned.

Rather than sink under the pressures of an unfit revenue model, the founders pivoted to a more fruitful investment in an untapped space: corporate training. After receiving multiple emails from users asking if developers had ever thought of using the app for company training, Putterman jumped into research on information retention and learned that trivia vastly benefits human memory.

With a new business plan and research backed by neuroscientists, the Trivie app launched in 2016. Reaching a broad list of organizations with five to over 40,000 users, Trivie has generated the praise and trust of business goliaths such as Subway, Unilever, and Anheuser-Busch. The app has been used to roll out onboarding, marketing training, safety protocols, sales information, remote learning and more.

"The vast majority of companies and organizations do nothing after a training event," he says, adding that, according to Trivie's own research, the app has found 50 to 75 percent of people had forgotten workplace education within a month. "It makes training one of the least effective business processes out there because everybody knows people don't remember their training unless it gets reinforced."

What if the secret to remembering is forgetting? Studies have shown that re-learning information over time strengthens memory recall.

"The way our solution works is very unique in that we want you to forget so you can re-remember again. The process of re-remembering is what pushes things into durable memory," explains Putterman.

When a company sets up a training on the Trivie app, the program serves each employee personalized training refreshers over time that are balanced with the retention levels of each unique learner. Using adaptive learning, the app prompts employees to remember previous facts until they master the subject.

"The AI [artificial intelligence] on the backend predicts when you're going to forget again, and it automates the whole thing," Putterman says.

In a Trivie control group, half of the test subjects used Trivie and half received basic employee training. Putterman stated the Trivie users typically have 95 percent retention after a month while non-Trivie users show less than 60 percent retention.

Employers can see the results of each Trivie assessment, pinpointed down to individual questions — a feature that is especially crucial for compliance and safety protocol. One of Trivie's university clients published a training on Title IX, where students passed yet 65 percent missed the question: "Whose responsibility is it to gain consent during a sexual encounter?"

When the university received the results, "they were able to see down to that level of detail—and that knowledge gap is pretty darn important," explains Putterman.

"Training is important but nowadays it's mission-critical," he says.

While Trivie already had many clients with needs for safety training, COVID-19 has brought new compliance guidelines to the forefront of every industry. Currently, Trivie has made the CDC's coronavirus guidelines available to all of its clients for no additional charge to be used across their entire employment bases.

Putterman acknowledges the pitfalls of sending out a corporate memo only to hear crickets.

"In a Trivie platform you would send a video, PDF, or word document via Trivie. You'd know people opened it up and after they're required to take a quiz so you know they understand what was in the message," Putterman explains.

An internal discussion board also allows company employees to discuss why the communication is essential to the organization. Another prominent feature of the app is a customizable survey.

"You know as well as I do that there's a ton of anxiety out there [about the coronavirus]. Wouldn't it be nice to push out a survey and then have a discussion around how people are dealing with it?" he questions.

With most of America's workforce working from home, Putterman expressed that it's common for employees to feel disconnected.

"The only way to maintain that company culture and close communication with confidence is to use something like Trivie," he says. "There's no feedback loop right now. The only way to bridge that gap is to have something like Trivie that's the glue."

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”