Houstonian Joe Schurman's latest venture PhenomAInon is aimed at tapping into AI and data analytics for for space domain awareness and threat detection. Photo via Getty Images

As artificial intelligence continues to expand its sphere of influence, Spring-based expert Joe Schurman is looking to take this technology to an out-of-this-world space.

With his background includes working with advising defense and aerospace organizations like NASA, Schurman's latest venture PhenomAInon is perfectly aligned with what he’s been working towards since 2019. The company aims to be a multi-tiered subscription service and application that will be the world’s first cloud native data and AI platform for phenomenon-based data analysis that can analyze data from any source for space domain awareness and threat detection, according to Schurman.

The platform aims to provide end-to-end data and AI analysis, publish insights, build community, and provide cloud, data, and software consulting. PhenomAInon deploys data and AI services alongside modern data and AI engineering, per the website, to surface insights to explorers, researchers, organizations, publications, and communities through advanced data and AI analysis. Schurman has worked with the U.S. government's task force for unidentified anomalous phenomenon — any perceived aerial phenomenon that cannot be immediately identified or explained — known as UAPTF. The tool will run sensitive information and then get back custom video analysis. The public version of the tool will give the public the option to view videos and cases, and form their own analysis.

“We are working together with multiple teams both public and private to continue to curate the data sets, clear documents for public review, and provide advanced analytics and AI capabilities never seen before to the public,” Schurman tells InnovationMap. “From a data and analytics perspective, we are applying machine learning and advanced analytics to find correlations and anomalies in the incident reports across multiple data sets.

"Some of these are public, some are private, and some we are clearing for public review," he continues. "The analytics will go far beyond incident reporting and showcase heat maps, correlative incident maps to key private and public sector facilities, and trends analysis never reported — e.g. incident reporting correlated with time, weather, FAA, and drone flight data, etc. We also have a new content analysis platform where users will be able to eventually run their own AI and ML analysis on their own videos.”

Schurman was first able to show this to the world in 2019, when as an adviser for To The Stars Academy of Arts and Science, or TTSA. He also appeared on History Channel’s “Unidentified: Inside America's UFO Investigation” to show the Pentagon’s former Advanced Aerospace Threat Identification Program head and TTSA Director of Special Programs Luis Elizondo how the AI platform could be helpful in tracking data related to Unidentified Aerial Phenomena.

Now, PhenomAInon's app is a work-in-progress. While it soft launched in May of 2022, Schurman says they have several data sets that are awaiting clearing from the U.S. government, as well as the content analysis tool in development to launch possibly by the summer. Schurman also hopes they will curate the largest library of incident videos, images, and audio recordings.

The subject of UAP continues to attract new discussions from government officials and industry professions across aerospace, academia, and more. In Houston, Rice University's Woodson Research Center and its humanities department host one of the largest archives of UAP and paranormal data, notes, and research that include documents from CIA programs on remote viewing.

Schurman says he's looking to provide even more data and information in this space.

“This phenomenon, it’s implications to multiple aspects of our lives and possible security threats, all come down to a data problem and the organizations that have been in place to-date just have not had the level of cloud, data and AI engineering capabilities we take for granted and have access to in the private sector,” says Schurman. “My goal is to bring this all together, starting with PhenomAInon.”

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Houston-based HPE wins $931M contract to upgrade military data centers

defense data centers

Hewlett Packard Enterprise (HPE), based in Spring, Texas, which provides AI, cloud, and networking products and services, has received a $931 million contract to modernize data centers run by the federal Defense Information Systems Agency.

HPE says it will supply distributed hybrid multicloud technology to the federal agency, which provides combat support for U.S. troops. The project will feature HPE’s Private Cloud Enterprise and GreenLake offerings. It will allow DISA to scale and accelerate communications, improve AI and data analytics, boost IT efficiencies, reduce costs and more, according to a news release from HPE.

The contract comes after the completion of HPE’s test of distributed hybrid multicloud technology at Defense Information Systems Agency (DISA) data centers in Mechanicsburg, Pennsylvania, and Ogden, Utah. This technology is aimed at managing DISA’s IT infrastructure and resources across public and private clouds through one hybrid multicloud platform, according to Data Center Dynamics.

Fidelma Russo, executive vice president and general manager of hybrid cloud at HPE, said in a news release that the project will enable DISA to “deliver innovative, future-ready managed services to the agencies it supports that are operating across the globe.”

The platform being developed for DISA “is designed to mirror the look and feel of a public cloud, replicating many of the key features” offered by cloud computing businesses such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform, according to The Register.

In the 1990s, DISA consolidated 194 data centers into 16. According to The Register, these are the U.S. military’s most sensitive data centers.

More recently, in 2024, the Fort Meade, Maryland-based agency laid out a five-year strategy to “simplify the network globally with large-scale adoption of command IT environments,” according to Data Center Dynamics.

Astros and Rockets launch new streaming service for Houston sports fans

Sports Talk

Houston sports fans now have a way to watch their favorite teams without a cable or satellite subscription. Launched December 3, the Space City Home Network’s SCHN+ service allows consumers to watch the Houston Astros and Houston Rockets via iOS, Apple TV, Android, Amazon Fire TV, or web browser.

A subscription to SCHN+ allows sports fans to watch all Astros and Rockets games, as well as behind-the-scenes features and other on-demand content. It’s priced at $19.99 per month or $199.99 annually (plus tax). People who watch Space City Network Network via their existing cable or satellite service will be able to access SCHN+ at no additional charge.

As the Houston Chronicle notes, the Astros and Rockets were the only MLB and NBA teams not to offer a direct-to-consumer streaming option.

“We’re thrilled to offer another great option to ensure fans have access to watch games, and the SCHN+ streaming app makes it easier than ever to cheer on the Rockets,” Rockets alternate governor Patrick Fertitta said in a statement.

“Providing fans with a convenient way to watch their favorite teams, along with our network’s award-winning programming, was an essential addition. This season feels special, and we’re committed to exploring new ways to elevate our broadcasts for Rockets fans to enjoy.”

Astros owner Jim Crane echoed Feritta’s comments, adding, “Providing fans options on how they view our games is important as we continue to grow the game – we want to make it accessible to as large an audience as possible. We are looking forward to the 2026 season and more Astros fans watching our players compete for another championship.”

SCHN+ is available to customers in Texas; Louisiana; Arkansas; Oklahoma; and the following counties in New Mexico: Dona Ana, Eddy, Lea, Chaves, Roosevelt, Curry, Quay, Union, and Debaca. Fans outside these areas will need to subscribe to the NBA and MLB out-of-market services.

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This article originally appeared on CultureMap.com.

Rice University researchers unveil new model that could sharpen MRI scans

MRI innovation

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 recently 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.” Previous models only approximated how water molecules relaxed around contrasting agents. However, through this new model, known as the NMR eigenmodes framework, the research team has uncovered the “full physical equations” to explain the process.

“The concept is similar to how a musical chord consists of many notes,” Thiago Pinheiro, the study’s first author, a Rice doctoral graduate in chemical and biomolecular engineering and postdoctoral researcher in the chemical sciences division at Oak Ridge National Laboratory, said in a news release. “Previous models only captured one or two notes, while ours picks up the full harmony.”

According to Rice, the findings could lead to the development and application of new contrast agents for clearer MRIs in medicine and materials science. Beyond MRIs, the NMR relaxation method could also be applied to other areas like battery design and subsurface fluid flow.

“In the present paper, we developed a comprehensive theory to interpret those previous molecular dynamics simulations and experimental findings,” Dilipkumar Asthagiri, a senior computational biomedical scientist in the National Center for Computational Sciences at Oak Ridge National Laboratory, said in the release. ”The theory, however, is general and can be used to understand NMR relaxation in liquids broadly.”

The team has also made its code available as open source to encourage its adoption and further development by the broader scientific community.

“By better modeling the physics of nuclear magnetic resonance relaxation in liquids, we gain a tool that doesn’t just predict but also explains the phenomenon,” Walter Chapman, a professor of chemical and biomolecular engineering at Rice, added in the release. “That is crucial when lives and technologies depend on accurate scientific understanding.”

The study was backed by The Ken Kennedy Institute, Rice Creative Ventures Fund, Robert A. Welch Foundation and Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory.