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Designers should not fear being replaced by AI, industry leaders say

ai, AI (Artificial Intelligence), Art and design, Artificial Intelligence, Business, Computing, Design, Technology, UK news

Firms are more likely to use technology as ‘the intern in the office’ than as a replacement for skilled staffProfessional designers should not feel “threatened” by the rapid growth of generative AI, according to business leaders, despite fears over job losses in the sector.With design and film production companies and manufacturers all adopting AI at […]

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The Design System as the Control Plane for AI-Generated UI

ai, AI (Artificial Intelligence), AI & ML, Artificial Intelligence, Commentary, Design

AI-assisted development has made it easier to generate frontend code quickly. A developer can ask for a form, a dashboard widget, a settings page, or a modal flow and get a working first draft in seconds. That speed is useful, especially when teams are moving through routine UI work. But speed creates a problem that’s

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With a feel for physics, AI models simulate a wider range of real-world scenarios

3-D imaging, ai, AI (Artificial Intelligence), Artificial Intelligence, Computer graphics, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Design, Electrical engineering and computer science (EECS), Human-computer interaction, manufacturing, MIT Schwarzman College of Computing, Research, School of Engineering, Simulation

Artificial intelligence models are jacks of many trades, including writing, generating images, and creating 3D models. But they aren’t as helpful when it comes to testing robots or designs for vehicles in diverse environments, since they don’t understand physics as well as they do pixels or text.To build an AI system that can reliably simulate

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A better way to turn 2D designs into 3D models for rapid prototyping

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer modeling, Computer science and technology, Design, Machine Learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT-IBM Computing Research Lab, Research, School of Engineering, Systems design

Engineers often use vision-language models to produce new designs, such as for airplane or automobile components. To simulate how those components will perform in realistic situations, they’ll use tried-and-true computer-aided design (CAD) software to generate 3D models of those designs, which they can put through virtual crash or durability tests. Researchers from MIT and elsewhere have

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Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering

3-D printing, Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Aircraft, Artificial Intelligence, Classes and programs, Contests and academic competitions, Design, Education, teaching, academics, Independent Activities Period, Lincoln Laboratory, Logistics, Machine Learning, Mechanical engineering, Robotics, School of Engineering, STEM education, Students, Undergraduate

Artificial intelligence has rapidly transformed software engineering. Generative AI and large language models (LLMs) can create huge volumes of code and documentation; machine-learning algorithms can monitor performance and detect security vulnerabilities. But when the task is to conceive, design, and make a complex physical system such as a jet engine, are those AI tools equally

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3 Questions: Beyond data-driven aesthetics

ai, AI (Artificial Intelligence), Algorithms, Alumni/ae, Architecture, Artificial Intelligence, Computer science and technology, data, Design, Exhibits, Interview, Machine Learning, School of Architecture and Planning, Special events and guest speakers

“Beyond Data-Driven Aesthetics,” by MIT Architecture alumnus and researcher Alexandros Haridis, on view at the MIT Keller Gallery through June 30, examines 20th- and 21st-century efforts to transform computing into a medium for creative production and aesthetic judgment in architecture and the applied arts. Drawing on philosophy, mathematics, computer science, and design computation, the exhibition

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Pixels and paintings: video games return to the V&A

ai, AI (Artificial Intelligence), Art and design, Artificial Intelligence, Culture, Design, Games, V&A

From an interactive session of Sex With Friends to improvised Robot Karaoke, the Friday Live celebration of play and performance amid the museum’s venerable halls was a reminder of gaming’s cultural cloutIn the grand entrance of the Victoria & Albert Museum, beneath a looming dome with ancient statues visible through nearby arches, a programmer/DJ is

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MIT and Hasso Plattner Institute establish collaborative hub for AI and creativity

ai, AI (Artificial Intelligence), Artificial Intelligence, Classes and programs, Collaboration, Design, Funding, International initiatives, MIT Morningside Academy for Design, MIT Schwarzman College of Computing, Research, School of Architecture and Planning, Technology and society

The following is a joint announcement from the MIT School of Architecture and Planning, MIT Schwarzman College of Computing, Hasso Plattner Institute, and Hasso Plattner Foundation.The MIT Morningside Academy for Design (MAD), MIT Schwarzman College of Computing, Hasso Plattner Institute (HPI), and Hasso Plattner Foundation celebrated the launch of the MIT and HPI AI and

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New MIT class uses anthropology to improve chatbots

ai, AI (Artificial Intelligence), Anthropology, Artificial Intelligence, Classes and programs, Design, Electrical engineering and computer science (EECS), Human-computer interaction, MIT Morningside Academy for Design, MIT Schwarzman College of Computing, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, Social media, Social sciences, Students, Technology and society

Young adults growing up in the attention economy — preparing for adult life, with social media and chatbots competing for their attention — can easily fall into unhealthy relationships with digital platforms. But what if chatbots weren’t mere distractions from real life? Could they be designed humanely, as moral partners whose digital goal is to

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A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer science and technology, Design, Machine Learning, Mechanical engineering, MIT Schwarzman College of Computing, Research, School of Engineering, Systems design

Many engineering challenges come down to the same headache — too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be costly, and there may be hundreds of variables that could matter.Consider car safety design. Engineers must integrate thousands of

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