Connect with us

Technology

Rice to offer Bachelor of Science in artificial intelligence

Published

on

HOUSTON, May 20, 2025 /PRNewswire/ — Artificial intelligence (AI) has become a core enabling technology for nearly every discipline, from engineering to health care to finance. To prepare the next generation of innovators and thought leaders in AI, Rice University will offer a Bachelor of Science in AI beginning in the fall of 2025.

“Our responsibility is to help set the standard for how AI is developed, applied and governed in the years ahead.”

“This program exemplifies how Rice is translating its strategic vision into action, as well as our commitment to lead in areas of national and global importance,” said President Reginald DesRoches. “Our responsibility is to help set the standard for how AI is developed, applied and governed in the years ahead.”

The new major reflects Rice’s university-wide commitment to shaping the future of computing through responsible and interdisciplinary approaches to AI. As part of its strategic plan, Rice has identified responsible AI as a catalyst for discovery and impact across fields — a priority also central to the George R. Brown School of Engineering and Computing, which leads many of Rice’s efforts advancing computing for societal good.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” said Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

Luay Nakhleh, the William and Stephanie Sick Dean of Engineering and Computing, said the new major will prepare students to shape the future of AI — not just as skilled practitioners but as thoughtful and strategic leaders.

“At Rice, we challenge students to not only master the technical expertise but to think critically about how to use new technologies to advance the greater good,” Nakhleh said. “We seek to empower students to think independently and creatively. This major is designed to give students the tools to understand AI deeply and the space to explore how it can be applied in unexpected, meaningful ways.”

The major, which will be housed in the Department of Computer Science, provides undergraduates a cohesive program that covers an array of approaches to AI “so that they are prepared for the breadth of what’s going on in AI,” said John Greiner, an assistant teaching professor of computer science who has been named director of the new program.

“We see AI being discussed a lot in the media, in public policy. AI has been made a national priority for not just the United States but around the world,” said Vicente Ordóñez-Román, associate professor of computer science who was instrumental in the new major’s development and approval. “There have been a lot of developments in the past 10 or so years that have put AI in the mainstream,” and Rice is offering the major so students are “more directly prepared for careers in artificial intelligence,” he said.

“Students who take the major will be at the vanguard of one of the most significant intellectual developments of the past 50 years,” said Chris Jermaine, chair of computer science.

One cohesive program — no graduate degree required

Currently, Rice computer science students need to take several AI-related elective courses or even pursue an advanced degree to immerse themselves in AI, Ordóñez-Román said. And, Greiner added, these electives wouldn’t necessarily provide a broad background in the field.

“We thought that something could be done at the undergraduate level” to give students more options, Ordóñez-Román said.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

Like computer science but different

Because many of the necessary skills and prerequisite courses for a degree in computer science overlapped with those for an AI major, it made sense to house the new program in the computer science department.

“In computer science, there are three big areas: artificial intelligence, systems development and algorithms and theory. I think they’re all covered” in both the computer science major and AI major, Ordóñez-Román said. “Artificial intelligence will be more at the core of the AI major than systems or algorithms, but they all will be present in both majors.”

The AI major “starts out with similar math requirements and some of the same programming courses,” Greiner said, “but at the sophomore level starts becoming an entirely different set of classes that are much more specialized to AI and have a stronger mathematical background.”

Beyond its specialized focus, the AI major will also incorporate disciplines outside of engineering.

“Artificial intelligence relies on the notion of ‘intelligence,'” Ordóñez-Román said, so a course on cognitive psychology will be included in the AI core curriculum. “That is a foundational course that touches on what intelligence is from a more human perspective, and it also opens up the avenue for students in the major to take other, more advanced courses on cognitive psychology.”

“In addition, we are including an ethics course from philosophy that’s being developed specifically for the AI major,” Greiner said. These courses could make the major appealing to non-engineering students.

“People who might be taking either cognitive psychology or neuroengineering, neuro-based majors, some of those might move over” to AI, Greiner said. “I think there’s going to be broad interest, but at the same time, the skills being taught are still very engineering oriented. There’s still a lot of math, a lot of programming. The expectations are going to be similar to other engineering majors.”

Playing to Rice’s strengths

Few universities offer AI as a standalone undergraduate major.

“It’s not a very common program you will find yet,” Ordóñez-Román said.

The combination of faculty expertise in AI and an unflagging commitment to undergraduate education make Rice a good fit for this new major. Students will also benefit from being part of Rice’s growing AI ecosystem, including resources and opportunities offered through the Ken Kennedy Institute.

“We have been building expertise in artificial intelligence,” said Ordóñez-Román, whose own research focuses on the AI-intensive fields of computer vision, natural language processing and machine learning. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”

Rice also has “a tradition of doing things our own way and creating new courses and new ways of educating students,” Greiner said. “Rice has always been very strong in undergraduate education, and part of that is that we have always been unafraid to create distinctive courses.”

Greiner predicts students will be drawn to the new major. “AI is in the news. It’s a very popular area, and for our students who are interested in that area, this gives them a coherent program that will support their goals.”

About Rice University
Located on a 300-acre forested campus in Houston, Texas, Rice University is consistently ranked among the nation’s top 20 universities by U.S. News & World Report. Rice has highly respected schools of architecture, business, continuing studies, engineering and computing, humanities, music, natural sciences and social sciences and is home to the Baker Institute for Public Policy. Internationally, the university maintains the Rice Global Paris Center, a hub for innovative collaboration, research and inspired teaching located in the heart of Paris, and Rice Global India in Bengaluru. With 4,776 undergraduates and 4,104 graduate students, Rice’s undergraduate student-to-faculty ratio is just under 6-to-1. Its residential college system builds close-knit communities and lifelong friendships, just one reason why Rice is ranked No. 1 for lots of race/class interaction and No. 7 for best-run colleges by the Princeton Review.

View original content to download multimedia:https://www.prnewswire.com/news-releases/rice-to-offer-bachelor-of-science-in-artificial-intelligence-302460959.html

SOURCE Rice University

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

CM Global Services Announces Project Santos, a Planned 50-Megawatt AI Data Center Campus in ERCOT South

Published

on

By

CM Global Services targets a site and engages with strategic partners to become operational in the AI data center space.

DENVER, July 23, 2026 /PRNewswire/ — CM Global Services, LLC (CMGS) today announced Project Santos, its plan to develop a 50-megawatt AI data center campus for a site in the ERCOT South grid zone. CMGS is a long-standing strategic partner of Compass Mining, Inc. and is a global provider of logistics, hardware sales, and infrastructure services, with a growing focus on AI infrastructure and building site development. The announcement was made by Shanon Squires, Chief Mining Officer of Compass Mining, during a panel on bitcoin mining companies diversifying into AI infrastructure at the Energy Investors Forum.

CMGS intends to deliver Project Santos in two phases. The first phase, a 7-megawatt, 5 MW of IT Load Tier III facility purpose-built for AI inference workloads, is targeted for completion by the end of the first quarter of 2027. A subsequent 43-megawatt expansion, bringing the site to its fully planned 50-megawatt capacity

“This is a disciplined next step for CM Global Services, drawing upon its expertise in standing up infrastructure, while Compass Mining simultaneously continues to be the gold standard in Bitcoin mining-related services,” said Shanon Squires. “Bitcoin mining remains the core of Compass Mining. CMGS’ Project Santos reflects the power infrastructure and site development discipline CMGS built over years, and we’re pursuing this initiative on our own terms.”

“This is a new step forward for CMGS, as we continue building for the future,” said Vishnu Mackenchery, Managing Director at CMGS. “Project Santos marks our entry into AI infrastructure and inference, and we’re charting our own path, moving fast to get there.”

GPU-as-a-Service for Enterprise and Neocloud Customers

Project Santos is being developed as a GPU-as-a-Service (GPUaaS) platform. Rather than requiring customers to bring their own hardware, CMGS is securing NVIDIA GB300 Blackwell GPU capacity to offer directly to off-takers as dedicated, single-tenant or multi-tenant compute. The company’s ideal customer profile is AI enterprise organizations seeking dedicated capacity, and CMGS is also in active discussions with neocloud providers.

Project Status

Site: located in the ERCOT South grid zoneCompute: CMGS is securing NVIDIA GB300 Blackwell GPU capacity to offer as GPU-as-a-Service to off-takersTotal planned capacity: 50 megawatts, 35 MW of IT to be delivered in two phasesPhase 1: 7 megawatts, 5 MW of IT load Tier III, targeted for completion by end of Q1Phase 2: adding a 43-megawatt expansion, 30 MW of IT load with utility-supported expansionCustomer profile: AI enterprise companies are the ideal customer; CMGS is also in active discussions with neocloud providers

About CMGS

CM Global Services (CMGS) is a global provider of logistics, hardware sales, and infrastructure services, with a growing focus on AI infrastructure and building site development. CMGS supports clients with end-to-end logistics solutions, hardware procurement, and site-level execution for next-generation compute infrastructure.

About CMGS and Compass Mining Partnership

Compass Mining serves as a strategic partner and advisor to CM Global Services (CMGS), supporting its growth across global logistics, hardware sales, and infrastructure services. As CMGS expands its focus into AI infrastructure and site development, Compass Mining’s guidance helps shape its strategic direction and execution. Together, the two organizations continue to collaborate on delivering end-to-end solutions for clients building next-generation compute infrastructure.

Disclaimer

This communication contains forward-looking statements relating to a potential closing of a transaction. There can be no assurance that the proposed transaction will be completed on the terms described, or at all. Forward-looking statements are subject to significant business, economic, and competitive uncertainties, many of which are beyond our control. This communication is for informational purposes only and does not constitute an offer to sell, or a solicitation of an offer to buy, any securities of the company. Furthermore, investing in or engaging with our company involves substantial risk, and past performance or previous communications are not indicative of future results. There is no guarantee, assurance, or warranty that any specific financial outcome, return on investment, or overall results will be achieved. Actual results may differ materially and adversely from those expressed, projected, or implied in any forward-looking statements. Investors and stakeholders should not rely solely on preliminary press releases regarding potential transactions or projected financial metrics when making investment decisions. We undertake no obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by applicable securities laws. Prospective investors are strongly encouraged to conduct their own independent due diligence and consult with a qualified, independent financial or legal advisor prior to making any investment.

Contact
All inquiries can be made to: Santos@CMGlobalServices.io 

View original content:https://www.prnewswire.com/news-releases/cm-global-services-announces-project-santos-a-planned-50-megawatt-ai-data-center-campus-in-ercot-south-302833610.html

SOURCE CM Global Services

Continue Reading

Technology

Advantech Unveils Next-Gen AI Infrastructure Solutions Powered by AMD EPYC™ 9006 Series Processors

Published

on

By

TAIPEI, July 23, 2026 /PRNewswire/ — Advantech, a global leader in industrial edge computing and edge AI solutions, today announced its next-generation server and network platforms powered by the latest AMD EPYC™ 9006 Series processors. Designed to accelerate AI infrastructure from the data center to the intelligent edge, Advantech’s 6th Gen AMD EPYC-powered servers deliver the performance, scalability, and reliability organizations need for AI, HPC, storage, networking, and mission-critical industrial workloads.

At AMD Advancing AI 2026, Advantech will showcase its latest 2U 4-node edge server and EATX server board, demonstrating how its workload-ready server solutions enable customers to build scalable, high-performance AI and edge computing infrastructure with greater deployment confidence.

Continuing Performance Leadership with AMD EPYC 9006 Series Processors

6th Gen AMD EPYC server CPUs bring continued leadership in performance, efficiency, memory bandwidth, and next-generation I/O. Featuring up to 128 cores and 256 threads, advanced 2nm process technology, “Zen 6” and “Zen 6c” architecture, up to 20% average generational performance uplift, and up to 20% performance-per-watt improvement, AMD EPYC 9006 Series processors are designed to support more virtual machines, higher throughput, and better system efficiency. With up to 128 PCIe Gen6 lanes per CPU, CXL™ 3.1 memory expansion, and support for DDR5 8000NHz and MRDIMM 12800MHz for high memory bandwidth, Advantech edge server solutions deliver balanced compute, memory, and I/O performance for next-generation AI, telco, edge, and storage infrastructure.

Key Features Include:

Up to 128 cores / 256 threads with “Zen 6” and “Zen 6c” architectureAdvanced 2nm process technology for improved performance and efficiencyUp to 20% average generational performance uplift and 20% performance-per-watt improvementDDR5-8000 and MRDIMM 12.8G support for higher memory bandwidth and capacityPCIe® Gen6 scalability: up to 128 lanes for 1 CPU and up to 196 lanes for 2 CPUsCXL™ 3.1 support for optimized memory expansion

Comprehensive Edge Server Solutions from Edge to Cloud

Advantech’s edge server portfolio powered by AMD EPYC™ 9006 Series processors delivers a complete board-to-system lineup for AI infrastructure, data centers, cloud, HCI, HPC, edge computing, industrial applications, and high-performance networking. The first-wave portfolio includes:
(1) The SKY-642E5, 4U MGX GPU server, for large-scale AI acceleration
(2) The SKY-722E5, 2U DC-MHS server with DC-SCM support, for modular data center and edge AI deployments
(3) The SKY-712E5, 1U DC-MHS server, supporting HHHL and FH-3/4L expansion cards for high-density enterprise edge and cloud workloads
(4) The SKY-822E5, 2U short-depth DC-SCM modular server, supporting 2–3 dual-slot GPU cards for space-constrained edge data centers
(5) The SKY-924E5F, 2U 4-node front-access server, for distributed edge computing,
(6) The ASMB-982 & ASMB-832 server boards for flexible, high-expandability system designs.

These new platforms also support PCIe Gen6 scalability, GPU-optimized architecture, advanced DDR5/MRDIMM memory, and AFA-ready high-density E1.S/E3.S NVMe SSD storage to meet low-latency data access, high-throughput storage performance, and scalable infrastructure for data-intensive AI and edge-cloud workloads.

Expanding the portfolio further, Advantech also introduces the FWA-6084, the 2U network appliance and is designed for demanding network security and edge AI workloads. It features DDR5/MRDIMM memory capability, eight Gen6 network module cards, and one PCIe Gen5 x16 slot for GPU or add-on card expansion. It is well positioned to support line-speed multiple 200G network workloads without compromise.

Together with Advantech’s unique service advantages—including 3-5-10 service guarantee, strict revision control, stable component supply, worldwide local support, and custom-ready integration—the new portfolio supports customers reduce deployment risk, secure long-term product roadmaps, and accelerate workload-ready AI and edge-cloud infrastructure from concept to deployment.

Explore more product information, please contact us or visit the Advantech x AMD website.

About Advantech

Advantech is a global leader in IoT intelligent systems and embedded platforms, driven by its vision of “Enabling an Intelligent Planet.” To address the growth of edge computing and AI, Advantech focuses on five key markets: Edge Intelligence Systems, Manufacturing, Energy and Utilities, iHealthcare, and iCity Services & iRetail. By integrating edge computing hardware, WISE-IoT software, sector-specific AI solutions, and domain expertise, Advantech creates an orchestration model that connects industrial ecosystems and accelerates industrial intelligence with partners and customers.(www.advantech.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/advantech-unveils-next-gen-ai-infrastructure-solutions-powered-by-amd-epyc-9006-series-processors-302833283.html

SOURCE Advantech Co., Ltd.

Continue Reading

Technology

MulticoreWare and AMD Collaborate to Advance Physical AI and Autonomous Robotics on AMD Platforms

Published

on

By

Companies Demonstrated Real-Time Multimodal AI and Vision-Language-Action Workflows on AMD Ryzen™ AI Platforms at AMD Advancing AI 2026

SAN JOSE, Calif., July 23, 2026 /PRNewswire/ — MulticoreWare, Inc., a global technology company specializing in AI software solutions, physical AI, accelerated computing, and engineering services, today announced its ongoing collaboration with AMD to advance autonomous robotics and edge intelligence on AMD platforms.

As part of this collaboration, MulticoreWare joined AMD at AMD Advancing AI 2026 to present ‘Enabling Physical AI on AMD’, demonstrating how advanced vision, language, and action (VLA) models can drive real-time robotic intelligence on AMD Ryzen™ AI Embedded platforms.

As AI increasingly moves from the cloud into robots, autonomous systems, and intelligent edge devices, organizations need efficient ways to run sophisticated AI models closer to where decisions need to be made. Together, AMD and MulticoreWare are helping developers bring advanced perception, reasoning, and action capabilities to AMD-powered systems.

At AMD Advancing AI 2026, AMD and MulticoreWare demonstrated how multimodal VLA models run on AMD Ryzen™ AI Embedded integrated GPUs using AMD ROCm™, enabling robots to perceive, reason, and act in real time. The session showcased practical guidance for AI developers, robotics engineers, and innovators building next-generation intelligent machines on AMD Embedded platforms.

“Physical AI is reshaping how machines perceive, decide and act in the real world,” said Sumit Shah, Head of Product Management and Marketing, Adaptive and Embedded Computing Group, AMD. “AMD Ryzen™ AI Embedded X100 Series processors deliver a scalable, open x86 Embedded platform that unifies AI, real-time control and industrial reliability to enable the generation of autonomous systems without locking developers into a single compute architecture or software stack.”

“A Physical AI system depends on a tightly integrated loop between perception and actuation. It must operate in real time, on real hardware, and in environments that are inherently unpredictable,” said Vish Rajalingam, VP & GM, Mobility and Transportation BU at MulticoreWare. “That makes it a hardware-software co-design challenge, not simply an AI inference problem. Building on the open-source AMD Robotics Software Suite, we work closely with OEMs to optimize the entire stack so that latency, reliability and accuracy targets are consistently achieved in production environments. That’s the integration MulticoreWare and AMD deliver together to move intelligent robotic systems from prototype to deployment.”

This session builds on more than 15 years of collaboration, with MulticoreWare delivering software optimization, AI, and engineering expertise across the AMD ecosystem, including Ryzen™ AI, Ryzen™, AMD EPYC™, AMD Instinct™, AMD Radeon™, and adaptive computing technologies.

About MulticoreWare

MulticoreWare, Inc. is a global technology company delivering AI software solutions and engineering services that accelerate innovation in Physical AI, Agentic AI, Robotics, Edge Intelligence, and Accelerated Computing. With expertise in multimodal AI, Vision-Language-Action (VLA) models, sensor perception and fusion, AI optimization, embedded systems, and high-performance software, MulticoreWare helps customers transform advanced AI technologies into production-ready solutions. Its innovations power applications across automotive, robotics, industrial automation, smart cities, healthcare, defense, and intelligent edge devices, while its video codec technologies enable next-generation video experiences worldwide.
www.multicorewareinc.com

AMD, the AMD Arrow logo, EPYC, Instinct, Radeon, Ryzen and combinations thereof are trademarks of Advanced Micro Devices, Inc.

Contact:
Suchithra Thyagarajan
VP – Corporate Marketing
marcom@multicorewareinc.com 

 

View original content to download multimedia:https://www.prnewswire.com/news-releases/multicoreware-and-amd-collaborate-to-advance-physical-ai-and-autonomous-robotics-on-amd-platforms-302831974.html

SOURCE MulticoreWare Inc.

Continue Reading

Trending