Date:
The anatomy of an AI system from cradle to grave. Using AI to make new recipes and discover new materials. Proving lights-out and distributed additive manufacturing.
Date:
Technology is transforming manufacturing perception with everything-as-a-service (XaaS) business models, autonomous systems and 3D printed jigs. Personnel are no longer mechanics, but specialists who design and develop high tech solutions.
Date:
From fish processing machines in Iceland to integrated predictive facility models and real-time defect detection methods the additive manufacturing revolution takes hold.
Date:
Robotics and 3D Printing are providing a unique set of capabilities available today that cannot be ignored. Aftermarket set of services, parts, and solutions enable deeper end-user/OEM relationships.
Date:
Kilogram of Co2 per kWh as the most important sustainability metric. Digital tech drives integrated robotics, smart factory, and sustainable distribution.
Date:
Defense contractors go on a shopping spree while new security postures take hold. Factories are the most tech-heavy places on Earth.
Date:
Machine learning at the edge is advancing steel production, port efficiency, and farming all at once and now enabling real-time control with Robotics Transformers. Materials scientist are creating novel ways to repair modern infrastructure.
Date:
Amidst disruptions in operations in China and the graveyard of autonomous vehicle startups this week’s stories cover ways to mitigate risk and the technologies enabling success.
Date:
Multinational and small family manufacturers adopt new technology to endure over a century. Software and AI orchestrate manufacturers to operate faster and at greater scale.
Date:
Exponential Industry publishes its 100th newsletter. The sustainability and AutoTech megatrends drive the future of industry.
Date:
Autonomous driving may have stumbled, but autonomy success grows in industrial operations. ISEE, Pickle Robots, Attabotics, and AMFG received big funding rounds for their successes so far.
Date:
Sustainability regulations and consumer demand force new product development and functional design. Universal models enable machine learning to thrive amid complexity in manufacturing and warehouse environments.
Date:
Composite materials are challenging to manufacture. New additive, melt-blown, and automated lay-up processes enable better performance and lower cost. Circular economy startups, Solugen and AMP Robotics, raise huge rounds.
Date:
Autonomous self-driving tech stalls on public streets, but progresses in the warehouse. The data backbone of digital twins and production planning with AI takes hold.
Date:
A short history of the term ‘bionic supply chain’ in industry. Sustainability technology finds new ways to adopt into operations. Handcrafted lightsabers in time for Halloween.
Date:
Data and AI is transforming how manufacturing business operate. A Data Operating System enables new product development workflows, increases collaboration, and ultimately helps companies get products to market faster.
Date:
Every stage of a product’s lifecycle from design to production and material recovery is being transformed by machine learning and AI.
Date:
A world map of immersive factory tours near you! Generative design aided by machine learning enhances engineer productivity in automobile design and FPGA development.
Date:
NVIDIA’s GTC conference unveils new industrial metaverse offerings. Big Data and Cloud Computing drive adoption of Industrial SaaS platforms. 3D printing breaks the glass ceiling.
Date:
Germany and Taiwan face questions about energy supplies. The Food, Pulp and Paper, Basic Chemicals, Primary Metal, and Nonmetallic Minerals manufacturing sectors are the most energy intensive.