Videos: Robotics company unveils its Houston operation at the Texas Medical Center

Meet the robots

ABB's mobile YuMi robot cut the ribbon on its new home in the Texas Medical Center. Cody Duty/TMC

Houston has a new fleet of robots training to better streamline health care operations. ABB Robotics cut the ribbon of its Texas Medical Center incubator on Wednesday, October 9.

"This is really an exciting day for us at ABB because we are opening up our innovation hub in a globally unique place at the Texas Medical Center," says Sami Atiya, president of Robotics and Discrete Automation at ABB, at the grand opening event.

According to ABB research, the industry expects 60,000 non-surgical medical robots by 2025, which is four times that of 2018. Zurich-based ABB has 400,000 robotics products across industries in over 53 companies, but this is their first dedicated health care center. The 5,300-square-foot space located in TMC Innovation Institute, which was announced earlier this year, will have around 20 employees in the facility managing robots conducting a myriad of tasks.

The potential for collaboration between ABB and TMC is just getting started with the hub space. ABB already has connections with TMC's member institutions and ABB also recognizes the innovation avenues the TMC brings to the table.

"This is not only about the chance to interact with 25 hospitals," Atiya says. "We have the chance to interact with bright startups, bright academia, and with an ecosystem that is unique. We really looked around the world to set up this business because we need to learn. We need to interact."

One way TMC's CEO, William McKeon sees a huge opportunity for robots is in the inventory process. Right now, each hospital manages its own inventory process with its own team of employees. McKeon explains how that process can be streamlined and better organized using robotics.

"It may not be as exciting as some of the things you see here [in the hub], but it's equally as meaningful and economically important in lowering our health care costs," McKeon says.

YuMi cuts the ribbon on the new ABB facility in the Texas Medical Center

The mobile YuMi robot cut the ribbon of its new home.

A new robotics facility is headed for the TMC Innovation Institute. Courtesy of TMC

TMC plans to open one-of-its-kind robotics facility later this year

The robots are coming

The Texas Medical Center has announced its plans to open a new robotics-equipped laboratory in October of this year. The automation capabilities will allow for more efficient lab tests and services.

The new facility is being made possible by a partnership between the medical center, TMC Innovation Institute, and ABB, a leading robotics company. This would be Zürich-based ABB's first dedicated health care center, but the company has over 400,000 robotics products across industries in over 53 countries.

"The next-generation laboratory processes developed in Houston will speed manual medical laboratory processes, reducing and eliminating bottlenecks in laboratory work and enhancing safety and consistency," says Sami Atiya, president of ABB's Robotics and Discrete Automation business, in a news release. "This is especially applicable for new high-tech treatments, such as the cancer therapies pioneered at the Texas Medical Center, which today require manual and time-consuming test processes."

A team of 20 will work out of the 5,300-square-foot facility, which will be located in TMC Innovation Institute. The space will have an automation laboratory with robot training facilities, and meeting spaces for the human innovation partners.

Currently, ABB's robots specialize in food and beverage laboratories worldwide, but able to adapt to medical facilities for specific tasks, including "dosing, mixing, and pipetting tasks, as well as sterile instrument kitting and centrifuge loading and unloading," according to the release.

"We are proud to co-develop collaborative robotics systems for the hospital of the future with one of the world's most advanced partners and to test them in real-world laboratories to ensure they add value to healthcare professionals, driving innovation, and transforming how medical laboratories operate worldwide," says Atiya in the release.

According to the release, TMC's connection to innovation, startups, and researchers were key factors in bringing the facility to Houston. ABB Robotics has a long-term plan to invest and innovate in robotics, says Atiya in the release.

"The Texas Medical Center continues to push the boundaries of innovation with cutting-edge industry partners by establishing TMC as the epicenter for ABB Robotics' entry into the healthcare space," says Bill McKeon, president and CEO of Texas Medical Center, in the release. "We continually strive for opportunities to accelerate research and enhance clinical care through key strategic partnerships. ABB's move into the heart of the Texas Medical Center campus with this first-of-its-kind R&D facility for creating robotics solutions in healthcare will set a new course for advancements in medicine."

Automation nation

Courtesy of TMC

A team of 20 will work out of the 5,300-square-foot facility, which will be located in TMC Innovation Institute.

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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

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