Connect with us

Technology

Brian Greene Tells LMU Graduates: Embrace Your Moment in the Cosmos with Curiosity and Gratitude

Published

1 year ago

on

LOS ANGELES, May 18, 2025 /PRNewswire/ — Brian Greene, a leading theoretical physicist and sought-after communicator of groundbreaking scientific concepts, urged those gathered Sunday for Loyola Marymount University’s graduate and LMU Loyola Law School commencement to appreciate their unique existence in the cosmos, embrace their potential, and approach life with gratitude.

Addressing a rapt crowd on LMU’s sun-filled Westchester campus, the best-selling author told graduates “we have each won the most improbable cosmic lottery.” See the press kit with images and Greene’s commencement video HERE.

“Think about how utterly unlikely it is that you exist,” Greene said. “Think about the nearly infinite collection of quantum processes stretching from The Big Bang until today … yet against those astounding odds – for a brief moment of time you exist, as do I.”

Drawing on discoveries from Albert Einstein to Stephen Hawking and Carl Sagan to Edwin Hubble, Greene traced for students and attendees the arc of scientific discovery allowing us to better understand our place in the universe, and the phenomenon of our capacity to live, comprehend, and connect with one another. Greene also noted the contributions of Jesuit-educated Catholic priest Georges Lemaître, who “used Einstein’s math to catch a glimpse of the possibility that space might be expanding,” an idea widely rejected at the time, only to be established a few years later.

“We can think about the past. We can imagine the future. We can take in the universe, mind and body, with reasoning and emotion allowing us to figure out astonishing things, like how stars shine and light travels, how black holes form and time elapses, allowing for creative achievements … all created by minds like yours, like mine, and that …most certainly will continue to create great beauty, to illuminate great mystery, to experience great wonder.”

 This phenomenon of human existence, Greene concluded, “should give us all a deep sense of connection. A kind of cosmic communion, and a sense that I can summarize with one word: gratitude.”

“Gratitude for being a small transient part of this wondrous unfolding, gratitude for our capacity to come together in groups that, at their best, allow us to each realize our potential, gratitude for our capacity for courage like that of George Lemaître, to stand up to authority, to not accept easy answers, and when necessary to fight for what we believe in. Gratitude that is for human existence, for fragile, delicate, difficult, challenging, painful, exhausting, beautiful, exquisite, transcendent, human existence, however brief, however evanescent, however fleeting.”

Greene is a lifelong learner committed to intellectual inquiry, educational access, and academic excellence. Described by The Washington Post as “the single best explainer of abstruse concepts in the world today,” he is the author of four acclaimed books that have collectively sold millions of copies worldwide. His latest best-selling release, “Until the End of Time,” which explores the cosmos and our quest to understand it, was named one of the “100 Notable Books of 2020” by The New York Times.

Greene’s books have been adapted into two Emmy and Peabody Award-winning NOVA miniseries, both of which he hosted. With journalist Tracy Day, he co-founded the World Science Festival, whose flagship events in New York and Australia have reached an audience of more than two million people, and more than 250 million people online. Greene has appeared on “The Late Show with Stephen Colbert,” played himself in an episode of “The Big Bang Theory,” and made cameo appearances in films including “Frequency,” “Maze,” and “The Last Mimzy.” A Harvard graduate and a Rhodes Scholar, he serves as director of Columbia University’s Center for Theoretical Physics.

Nearly 2,900 LMU undergraduate, graduate, and law students participated in weekend commencement celebrations, which began Saturday with Ahmir “Questlove” Thompson addressing the undergraduate commencement ceremony. 

ABOUT LOYOLA MARYMOUNT UNIVERSITY

Loyola Marymount University is one of the nation’s top-ranked Catholic universities, recognized by U.S. News & World Report among the top 50 private and top five Jesuit institutions in the country, and among California’s top six private schools. Founded in 1911 and rooted in the Catholic, Jesuit, and Marymount traditions, LMU enrolls 7,100 undergraduates and 3,000 graduate and law students across seven colleges and schools. The university offers 56 undergraduate majors, 57 minors, 43 master’s degree programs, three doctorate programs, and 12 credential/authorization programs. With top-ranked programs in law, film and television, entrepreneurship, business, and the arts, LMU is embedded in the creative, cultural, and economic life of Los Angeles. The university generates $1.4 billion in annual economic impact. A proud member of the West Coast Conference, LMU fields 14 NCAA Division I teams and competes with purpose, pride, and integrity.

LMU news and events are found at: www.lmu.edu/news.

View original content to download multimedia:https://www.prnewswire.com/news-releases/brian-greene-tells-lmu-graduates-embrace-your-moment-in-the-cosmos-with-curiosity-and-gratitude-302458502.html

SOURCE Loyola Marymount University

Related Topics:
Continue Reading
Click to comment

Leave a Reply

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

Technology

JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

Published

31 minutes ago

on

July 24, 2026

By

A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

Logo – https://mma.prnewswire.com/media/3007577/JAMS_logo.jpg
Photo – https://mma.prnewswire.com/media/3007578/jams_jax_ai_agent_job_scheduling_1.jpg
Photo – https://mma.prnewswire.com/media/3007579/jams_jax_mcp_ai_control_model.jpg
Photo – https://mma.prnewswire.com/media/3007580/jams_mcp_ai_connector_claude_cursor.jpg

View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

Continue Reading

Technology

Video: CNPC offers green chemical answer

Published

31 minutes ago

on

July 24, 2026

By

BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

Continue Reading

Technology

Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

Published

31 minutes ago

on

July 24, 2026

By

Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

Continue Reading

Trending