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Wolfram

Wolfram

Software Development

Champaign, IL 28,596 followers

Where computation meets knowledge.

About us

Founded by Stephen Wolfram in 1987, Wolfram Research is one of the world's most respected computer, web, and cloud software companies—as well as a powerhouse of scientific and technical innovation. As pioneers in computation and computational knowledge, we have pursued a long-term vision to develop the science, technology, and tools to make computation an ever-more-potent force in today's and tomorrow's world. Over the course of more than a quarter of a century, we have progressively built an unprecedented base of technology that now makes possible our broad portfolio of innovative products. At the center is the revolutionary Wolfram Language, which defines a unique convergence of computation and knowledge.

Industry
Software Development
Company size
501-1,000 employees
Headquarters
Champaign, IL
Type
Privately Held
Founded
1987
Specialties
Mathematica, symbolic and numerical computation, parallel processing, data visualization, image processing, programming language, Machine Learning, Internet of Things, Computation, Big Data, Data Analysis, Analytics, Visualisation, and Private Clouds

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Updates

  • Wolfram reposted this

    View profile for Stephen Wolfram

    Founder & CEO at Wolfram Research

    From the point of view of science I've never been too excited about the Game of Life. But now I realize that what's really exciting about it is what it tells us about what we can call metaengineering. That half century of impressive Life hacking gives us a uniquely clean example of an arc of engineering progress, the role of invention vs. discovery, and possible "laws of innovation"... https://lnkd.in/eeCPg8hy

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  • Wolfram reposted this

    View profile for Vitaliy Kaurov

    Director of Engagement | Chief Editor @ Wolfram Staff Picks | Physicist

    ❗TODAY & ONCE in 2.5 years. Grab those grandpa binoculars. Go outside! Bring friends. 𝟏𝟎-𝐬𝐞𝐜𝐨𝐧𝐝 𝐯𝐢𝐝𝐞𝐨 𝐠𝐮𝐢𝐝𝐞, Wolfram-made for 𝘸𝘩𝘢𝘵, 𝘸𝘩𝘦𝘯, 𝘸𝘩𝘦𝘳𝘦 in the sky. Don't miss Americas' night show. Explore: ⛶ ⏸ ⏪ ⏩ pause / rewind / full-screen video to learn the details and exact timings for the moon passing the eclipse phases. A 𝐭𝐨𝐭𝐚𝐥 𝐥𝐮𝐧𝐚𝐫 𝐞𝐜𝐥𝐢𝐩𝐬𝐞 will tint the Moon red-orange on the night of March 13 or early in the morning on March 14, depending on your time zone. I am in Florida so this video is Eastern time, but you can offset to your time zone easily. 🌓🌔 Two shadows, two zones. The penumbra is Earth's faint outer shadow—barely noticeable (video: outer annulus). The umbra is the deep core—where the Moon turns red (video: inner disk). Watch in the video as the Moon moves through both and note the timings. Big thanks to Jeff Bryant for: 🔴 Wolfram CODE & ARTICLE: https://lnkd.in/efvVg5_R 🔭👀 Optical tools? Useful, but not required. The eclipse is fully visible to the naked eye, but binoculars or a small telescope will enhance details—craters, ridges, and subtle color shifts in the Moon’s shadowed surface. 🪱 Why “Worm Moon”? March’s full Moon got this name from beetle larvae emerging from thawing bark—documented by 18th-century explorers. It’s also called Crow Moon, Sugar Moon, Wind Strong Moon by different cultures.

  • Wolfram reposted this

    View profile for Vitaliy Kaurov

    Director of Engagement | Chief Editor @ Wolfram Staff Picks | Physicist

    AlphaFold2 (2024 Nobel Prize) predicts protein shape. This AI predicts motion—how 𝐩𝐫𝐨𝐭𝐞𝐢𝐧𝐬 𝐬𝐡𝐢𝐟𝐭 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐬𝐡𝐚𝐩𝐞𝐬. Motion is key to drug design. Wolfram neural net accelerates the search for optimal transitions. Explore: 🔴 Wolfram CODE & ARTICLE: https://lnkd.in/ewBH244Q AlphaFold2 (2024 Nobel Prize) solved a key challenge in biology—predicting static protein structures. But proteins don’t remain static. They shift between shapes, and these transitions control function. This research uses AI to map how proteins move between states—critical for understanding how drugs interact with them. This study focuses on Cereblon (CRBN), a protein involved in targeted protein degradation. Molecular glue drugs bind CRBN, altering its shape to tag harmful proteins for destruction. AI doesn’t just predict CRBN’s structure—it maps its full transition between open and closed states, a process that classical molecular dynamics (MD) struggles to capture. This approach could accelerate drug design by identifying molecular motions that determine whether a drug succeeds or fails. Big thanks to István Kolossváry and colleagues for conducting and sharing this research!

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