For years, Industry 4.0 transformation has centered on the convergence of intelligent technologies like AI, cloud, the internet of things, robotics, and digital twins. Industry 5.0 marks a pivotal shift from integrating emerging technologies to orchestrating them at scale. With Industry 5.0, the purpose of this interconnected web of technologies is more nuanced: to augment human potential, not just automate work, and enhance environmental sustainability. Industry 5.0 has ushered in a radically new level of collaboration between humans and machines, one that removes data silos and optimizes infrastructure, operations, and resource use to disrupt business models and create new forms […]

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks like advanced programming and multistep planning. But developing reasoning models demands an enormous amount of computation and energy due to inefficiencies in the training process. While a few of the high-power processors continuously work through complicated queries, others in the group sit idle. Researchers from MIT and elsewhere found a way to use this computational downtime to efficiently accelerate reasoning-model training. Their new method automatically trains a smaller, faster model […]

Have you ever had an idea for something that looked cool, but wouldn’t work well in practice? When it comes to designing things like decor and personal accessories, generative artificial intelligence (genAI) models can relate. They can produce creative and elaborate 3D designs, but when you try to fabricate such blueprints into real-world objects, they usually don’t sustain everyday use. The underlying problem is that genAI models often lack an understanding of physics. While tools like Microsoft’s TRELLIS system can create a 3D model from a text prompt or image, its design for a chair, for example, may be unstable, or […]