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2025-06-01 16:00:59 - Перевод -

Enigmata’s Multi-Stage and Mix-Training Reinforcement Learning Recipe Drives Breakthrough Performance in LLM Puzzle Reasoning

Large Reasoning Models, trained from LLMs using reinforcement learning, demonstrated great performance in complex reasoning tasks, including mathematics, STEM, and coding. However, existing LRMs face challenges in completing various puzzle tasks that require purely logical reasoning skills, which are easy and obvious for humans. Current methods targeting puzzles focus only on designing benchmarks for evaluation, lacking the training methods and resources for modern LLMs to tackle this challenge. Current puzzle datasets lack diversity and scalability, covering limited puzzle types with little control over generation or difficulty. Moreover, due to the success of the “LLM+RLVR” paradigm, it has become crucial to obtain large, diverse, and challenging sets of verifiable puzzle prompts for training agents.
Reinforcement Learning with Verifiable Rewardshas emerged as a key method for improving models’ reasoning capabilities, removing the need for reward models by directly assigning rewards based on objectively verifiable answers. Puzzles are particularly well-suited for RLVR. However, most prior RLVR research has overlooked the puzzles’ potential for delivering effective reward signals. In puzzle reasoning of LLMs, existing benchmarks evaluate different types of reasoning, including abstract, deductive, and compositional reasoning. Few benchmarks support scalable generation and difficulty control but lack puzzle diversity. Moreover, the improvement of LLMs’ puzzle-solving abilities mainly falls into two categories: tool integration and RLVR.
Researchers from ByteDance Seed, Fudan University, Tsinghua University, Nanjing University, and Shanghai Jiao Tong University have proposed Enigmata, the first comprehensive toolkit designed for improving LLMs with puzzle reasoning skills. It contains 36 tasks across seven categories, each featuring a generator that produces unlimited examples with controllable difficulty and a rule-based verifier for automatic evaluation. The researchers further developed Enigmata-Eval as a rigorous benchmark and created optimized multi-task RLVR strategies. Puzzle data from Enigmata enhances SoTA performance on advanced math and STEM reasoning tasks like AIME, BeyondAIME, and GPQA when trained on larger models like Seed1.5-Thinking. This shows the generalization benefits of Enigmata.

The Enigmata-Data comprises 36 puzzle tasks organized into 7 primary categories, including Crypto, Arithmetic, Logic, Grid, Graph, Search, and Sequential Puzzle, making it the only dataset having multiple task categories with scalability, automatic verification, and public availability. The data construction follows a three-phase pipeline: Tasks Collection and Design, Auto-Generator and Verifier Development, and Sliding Difficulty Control. Moreover, the Enigmata-Eval is developed by systematically sampling from the broader dataset, aiming to extract 50 instances per difficulty level for each task. The final evaluation set contains 4,758 puzzle instances rather than the theoretical maximum of 5,400, due to inherent constraints, where some tasks generate fewer instances per difficulty level.

The proposed model outperforms most public models on Enigmata-Eval with 32B parameters, showing the effectiveness of the dataset and training recipe. The model stands out on the challenging ARC-AGI benchmark, surpassing strong reasoning models such as Gemini 2.5 Pro, o3-mini, and o1. The Qwen2.5-32B-Enigmata shows outstanding performance in structured reasoning categories, outperforming in Crypto, Arithmetic, and Logic tasks, suggesting effective development of rule-based reasoning capabilities. The model shows competitive performance in search tasks that require strategic exploration and planning capabilities. Moreover, Crypto and Arithmetic tasks tend to provide the highest accuracy, while spatial and sequential tasks remain more difficult.
In this paper, researchers introduced Enigmata, a comprehensive suite for equipping LLMs with advanced puzzle reasoning that integrates seamlessly with RL using verifiable rule-based rewards. The trained Enigmata-Model shows superior performance and robust generalization skills through RLVR training. Experiments reveal that when applied to larger models such as Seed1.5-Thinking, synthetic puzzle data brings additional benefits in other domains, including mathematics and STEM reasoning over state-of-the-art models. Enigmata provides a solid foundation for the research community to advance reasoning model development, offering a unified framework that effectively bridges logical puzzle-solving with broader reasoning capabilities in LLMs.

Check out the Paper, GitHub Page and Project Page. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter.
Sajjad AnsariSajjad Ansari is a final year undergraduate from IIT Kharagpur. As a Tech enthusiast, he delves into the practical applications of AI with a focus on understanding the impact of AI technologies and their real-world implications. He aims to articulate complex AI concepts in a clear and accessible manner.Sajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/Multimodal Foundation Models Fall Short on Physical Reasoning: PHYX Benchmark Highlights Key Limitations in Visual and Symbolic IntegrationSajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large Language ModelsSajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/Can LLMs Really Judge with Reasoning? Microsoft and Tsinghua Researchers Introduce Reward Reasoning Models to Dynamically Scale Test-Time Compute for Better AlignmentSajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/NVIDIA AI Introduces AceReason-Nemotron for Advancing Math and Code Reasoning through Reinforcement Learning
#enigmatas #multistage #mixtraining #reinforcement #learning

Enigmata’s Multi-Stage and Mix-Training Reinforcement Learning Recipe Drives Breakthrough Performance in LLM Puzzle Reasoning

Large Reasoning Models, trained from LLMs using reinforcement learning, demonstrated great performance in complex reasoning tasks, including mathematics, STEM, and coding. However, existing LRMs face challenges in completing various puzzle tasks that require purely logical reasoning skills, which are easy and obvious for humans. Current methods targeting puzzles focus only on designing benchmarks for evaluation, lacking the training methods and resources for modern LLMs to tackle this challenge. Current puzzle datasets lack diversity and scalability, covering limited puzzle types with little control over generation or difficulty. Moreover, due to the success of the “LLM+RLVR” paradigm, it has become crucial to obtain large, diverse, and challenging sets of verifiable puzzle prompts for training agents. Reinforcement Learning with Verifiable Rewardshas emerged as a key method for improving models’ reasoning capabilities, removing the need for reward models by directly assigning rewards based on objectively verifiable answers. Puzzles are particularly well-suited for RLVR. However, most prior RLVR research has overlooked the puzzles’ potential for delivering effective reward signals. In puzzle reasoning of LLMs, existing benchmarks evaluate different types of reasoning, including abstract, deductive, and compositional reasoning. Few benchmarks support scalable generation and difficulty control but lack puzzle diversity. Moreover, the improvement of LLMs’ puzzle-solving abilities mainly falls into two categories: tool integration and RLVR. Researchers from ByteDance Seed, Fudan University, Tsinghua University, Nanjing University, and Shanghai Jiao Tong University have proposed Enigmata, the first comprehensive toolkit designed for improving LLMs with puzzle reasoning skills. It contains 36 tasks across seven categories, each featuring a generator that produces unlimited examples with controllable difficulty and a rule-based verifier for automatic evaluation. The researchers further developed Enigmata-Eval as a rigorous benchmark and created optimized multi-task RLVR strategies. Puzzle data from Enigmata enhances SoTA performance on advanced math and STEM reasoning tasks like AIME, BeyondAIME, and GPQA when trained on larger models like Seed1.5-Thinking. This shows the generalization benefits of Enigmata. The Enigmata-Data comprises 36 puzzle tasks organized into 7 primary categories, including Crypto, Arithmetic, Logic, Grid, Graph, Search, and Sequential Puzzle, making it the only dataset having multiple task categories with scalability, automatic verification, and public availability. The data construction follows a three-phase pipeline: Tasks Collection and Design, Auto-Generator and Verifier Development, and Sliding Difficulty Control. Moreover, the Enigmata-Eval is developed by systematically sampling from the broader dataset, aiming to extract 50 instances per difficulty level for each task. The final evaluation set contains 4,758 puzzle instances rather than the theoretical maximum of 5,400, due to inherent constraints, where some tasks generate fewer instances per difficulty level. The proposed model outperforms most public models on Enigmata-Eval with 32B parameters, showing the effectiveness of the dataset and training recipe. The model stands out on the challenging ARC-AGI benchmark, surpassing strong reasoning models such as Gemini 2.5 Pro, o3-mini, and o1. The Qwen2.5-32B-Enigmata shows outstanding performance in structured reasoning categories, outperforming in Crypto, Arithmetic, and Logic tasks, suggesting effective development of rule-based reasoning capabilities. The model shows competitive performance in search tasks that require strategic exploration and planning capabilities. Moreover, Crypto and Arithmetic tasks tend to provide the highest accuracy, while spatial and sequential tasks remain more difficult. In this paper, researchers introduced Enigmata, a comprehensive suite for equipping LLMs with advanced puzzle reasoning that integrates seamlessly with RL using verifiable rule-based rewards. The trained Enigmata-Model shows superior performance and robust generalization skills through RLVR training. Experiments reveal that when applied to larger models such as Seed1.5-Thinking, synthetic puzzle data brings additional benefits in other domains, including mathematics and STEM reasoning over state-of-the-art models. Enigmata provides a solid foundation for the research community to advance reasoning model development, offering a unified framework that effectively bridges logical puzzle-solving with broader reasoning capabilities in LLMs. Check out the Paper, GitHub Page and Project Page. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. Sajjad AnsariSajjad Ansari is a final year undergraduate from IIT Kharagpur. As a Tech enthusiast, he delves into the practical applications of AI with a focus on understanding the impact of AI technologies and their real-world implications. He aims to articulate complex AI concepts in a clear and accessible manner.Sajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/Multimodal Foundation Models Fall Short on Physical Reasoning: PHYX Benchmark Highlights Key Limitations in Visual and Symbolic IntegrationSajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large Language ModelsSajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/Can LLMs Really Judge with Reasoning? Microsoft and Tsinghua Researchers Introduce Reward Reasoning Models to Dynamically Scale Test-Time Compute for Better AlignmentSajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/NVIDIA AI Introduces AceReason-Nemotron for Advancing Math and Code Reasoning through Reinforcement Learning #enigmatas #multistage #mixtraining #reinforcement #learning

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Enigmata’s Multi-Stage and Mix-Training Reinforcement Learning Recipe Drives Breakthrough Performance in LLM Puzzle Reasoning

Large Reasoning Models (LRMs), trained from LLMs using reinforcement learning (RL), demonstrated great performance in complex reasoning tasks, including mathematics, STEM, and coding. However, existing LRMs face challenges in completing various puzzle tasks that require purely logical reasoning skills, which are easy and obvious for humans. Current methods targeting puzzles focus only on designing benchmarks for evaluation, lacking the training methods and resources for modern LLMs to tackle this challenge. Current puzzle datasets lack diversity and scalability, covering limited puzzle types with little control over generation or difficulty. Moreover, due to the success of the “LLM+RLVR” paradigm, it has become crucial to obtain large, diverse, and challenging sets of verifiable puzzle prompts for training agents. Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a key method for improving models’ reasoning capabilities, removing the need for reward models by directly assigning rewards based on objectively verifiable answers. Puzzles are particularly well-suited for RLVR. However, most prior RLVR research has overlooked the puzzles’ potential for delivering effective reward signals. In puzzle reasoning of LLMs, existing benchmarks evaluate different types of reasoning, including abstract, deductive, and compositional reasoning. Few benchmarks support scalable generation and difficulty control but lack puzzle diversity. Moreover, the improvement of LLMs’ puzzle-solving abilities mainly falls into two categories: tool integration and RLVR. Researchers from ByteDance Seed, Fudan University, Tsinghua University, Nanjing University, and Shanghai Jiao Tong University have proposed Enigmata, the first comprehensive toolkit designed for improving LLMs with puzzle reasoning skills. It contains 36 tasks across seven categories, each featuring a generator that produces unlimited examples with controllable difficulty and a rule-based verifier for automatic evaluation. The researchers further developed Enigmata-Eval as a rigorous benchmark and created optimized multi-task RLVR strategies. Puzzle data from Enigmata enhances SoTA performance on advanced math and STEM reasoning tasks like AIME, BeyondAIME, and GPQA when trained on larger models like Seed1.5-Thinking. This shows the generalization benefits of Enigmata. The Enigmata-Data comprises 36 puzzle tasks organized into 7 primary categories, including Crypto, Arithmetic, Logic, Grid, Graph, Search, and Sequential Puzzle, making it the only dataset having multiple task categories with scalability, automatic verification, and public availability. The data construction follows a three-phase pipeline: Tasks Collection and Design, Auto-Generator and Verifier Development, and Sliding Difficulty Control. Moreover, the Enigmata-Eval is developed by systematically sampling from the broader dataset, aiming to extract 50 instances per difficulty level for each task. The final evaluation set contains 4,758 puzzle instances rather than the theoretical maximum of 5,400, due to inherent constraints, where some tasks generate fewer instances per difficulty level. The proposed model outperforms most public models on Enigmata-Eval with 32B parameters, showing the effectiveness of the dataset and training recipe. The model stands out on the challenging ARC-AGI benchmark, surpassing strong reasoning models such as Gemini 2.5 Pro, o3-mini, and o1. The Qwen2.5-32B-Enigmata shows outstanding performance in structured reasoning categories, outperforming in Crypto, Arithmetic, and Logic tasks, suggesting effective development of rule-based reasoning capabilities. The model shows competitive performance in search tasks that require strategic exploration and planning capabilities. Moreover, Crypto and Arithmetic tasks tend to provide the highest accuracy, while spatial and sequential tasks remain more difficult. In this paper, researchers introduced Enigmata, a comprehensive suite for equipping LLMs with advanced puzzle reasoning that integrates seamlessly with RL using verifiable rule-based rewards. The trained Enigmata-Model shows superior performance and robust generalization skills through RLVR training. Experiments reveal that when applied to larger models such as Seed1.5-Thinking (20B/200B parameters), synthetic puzzle data brings additional benefits in other domains, including mathematics and STEM reasoning over state-of-the-art models. Enigmata provides a solid foundation for the research community to advance reasoning model development, offering a unified framework that effectively bridges logical puzzle-solving with broader reasoning capabilities in LLMs. Check out the Paper, GitHub Page and Project Page. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. Sajjad AnsariSajjad Ansari is a final year undergraduate from IIT Kharagpur. As a Tech enthusiast, he delves into the practical applications of AI with a focus on understanding the impact of AI technologies and their real-world implications. He aims to articulate complex AI concepts in a clear and accessible manner.Sajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/Multimodal Foundation Models Fall Short on Physical Reasoning: PHYX Benchmark Highlights Key Limitations in Visual and Symbolic IntegrationSajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large Language ModelsSajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/Can LLMs Really Judge with Reasoning? Microsoft and Tsinghua Researchers Introduce Reward Reasoning Models to Dynamically Scale Test-Time Compute for Better AlignmentSajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/NVIDIA AI Introduces AceReason-Nemotron for Advancing Math and Code Reasoning through Reinforcement Learning

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2025-05-29 15:43:31 - Перевод -

SLICED: Latest news from the 3D Printing Industry

In this edition of SLICED, the 3D Printing Industry news digest, we compile the latest developments across the additive manufacturingsector, including equipment-sharing partnerships, market expansions in Europe and Mexico, and new standards working groups.
Today’s edition features reseller appointments, research consortium launches, large-format platform integrations, dental appliance automation, and calls for conference speakers.
Read on for updates from AM 4 AM, Meltio, One Click Metal, Axtra3D, Nikon SLM Solutions, Formnext 2025, and more.
Emerging partnerships from AM 4 AM, and Meltio
Kicking off with partnerships, Luxembourg’s materials R&D firm AM 4 AM has partnered with Stockholm aluminum powder supplier Gränges Powder Metallurgy, relocating the Swedish supplier’s materials characterization park to AM 4 AM’s facility. Under the agreement, AM 4 AM will operate GPM’s particle size analyzers, thermal testers, and mechanical-testing rigs to accelerate development cycles and strengthen quality control across both companies’ product lines.
AM 4 AM Co-founder Maxime Delmée noted that access to GPM’s instrumentation will enable faster iteration and more data-driven decision-making. Highlighting benefits, GPM Managing Director Peter Vikner explained that relocating the equipment to AM 4 AM addressed both firms’ R&D requirements while leveraging AM 4 AM’s operational capabilities.
Moving on, Spanish wire-laser metal 3D printer manufacturer Meltio has announced partnerships with Monterrey-based service provider Alar, and academic institution Tecnológico de Monterrey.With this move, Alar will integrate the award-winning M600 industrial wire-laser 3D printer into its production lines, while the institution has acquired a Meltio M450 for academic training and industry collaboration.
Additionally, the Spanish manufacturer has also announced additive manufacturing integrator Sitres Latam as its official distributor. Meltio’s wire-feed deposition process, which supports stainless steel, titanium, Inconel, and copper, offers mechanical properties on par with conventionally manufactured parts while reducing waste and emissions. “This alliance with Sitres, Alar, and Tecnológico de Monterrey is fundamental to promoting real and functional metal 3D printing solutions in Mexico,” said Alar CEO Andrea Alarcón.
Meltio partners with Alar, SITRES, and Tecnológico de Monterrey to expand metal 3D printing capabilities in Mexico. Photo via Meltio.
One Click Metal and Axtra3D Appoint New Resellers in Iberia
Turning to resellers and distribution, German metal 3D printing systems developer One Click Metal has expanded into Portugal through a collaboration with Lisbon’s industrial additive manufacturing services provider 3D Ever. The agreement gives local businesses direct access to One Click Metal’s cartridge-based powder handling systems and Lab Module for rapid material changes, alongside region-specific training and post-installation support.
Founded in 2017, 3D Ever operates a multi-technology showroom—covering covering stereolithography, selective laser sintering, fused filament fabrication, and direct metal laser sintering—and hosts open-house events and technical workshops to integrate 3D printing into customer workflows. “Portugal is a dynamic market for additive manufacturing,” said One Click Metal’s Global Sales Director Martin Heller, “and 3D Ever’s deep industry knowledge makes them the ideal partner.”
Meanwhile, Milan-based photopolymer 3D printer innovator Axtra3D has named Spain and Portugal’s Maquinser S.A. as its professional reseller for Hi-Speed SLA systems. Maquinser will showcase the Lumia X1 platform combining Hybrid PhotoSynthesis and TruLayer technologies at three major industry events through June: the International Machine-Tool Fairin Porto, Portugal; the Subcontratación Industrial & Addit3D expo in Bilbao, Spain; and the MindTECH manufacturing technology fair in Porto.
“Axtra3D’s Hi-Speed SLA strikes the balance between surface quality, precision, and material flexibility,” said Maquinser CEO Christian Postigo. Andreas Tulaj, SVP Europe Sales at Axtra3D, added that Maquinser’s regional presence ensures localized support, rapid deployment, and customer-specific solutions across automotive, aerospace, energy, and mold-making sectors.
Axtra3D appoints Maquinser S.A. as official reseller for Spain and Portugal. Image via Maquinser.
3MF Consortium and Ecosistema GO! Launch AM Research Initiatives
On the research corner, the Microsoft-backed standards organization 3MF Consortium has formed a 6-Axis Toolpath Working Group to define open data structures for robotic and multi-axis AM workflows. The effort invites professionals using industrial robots and advanced CNC platforms to develop a 3MF extension that encodes non-planar toolpath data, enabling seamless interoperability across design, toolpath generation, and machine control software.
Originally created to surpass STL and OBJ for complex manufacturing data, the 3MF format already supports units, materials, lattices, slice data, and metadata. This new working group will build on modules like the Beam Lattice Extension to integrate multi-axis motion paths, with open-source reference implementations available via the consortium’s GitHub repository.
Elsewhere in Europe, Spain’s Centre for the Development of Industrial Technology-backed Ecosistema GO! Projecthas launched to map national AM capabilities and drive industrial adoption. The initiative will publish a structured “map of capabilities” covering infrastructure, specialization areas, and R&D projects, while hosting workshops in automotive, energy, and aerospace to share success stories and define adoption strategies.
“Ecosistema GO! aligns capabilities, generates synergies, and accelerates AM’s real incorporation into Spanish industry,” said IAM3DHUB General Secretary David Adrover. Open for new members through December 2025, the consortium aims to serve as Spain’s reference network for additive manufacturing.
The 3MF Consortium invites participants to join its newly launched 6-Axis Toolpath Working Group. Image via 3MF Consortium.
Dental Production Boosted by DMP Flex 200 Integration at DynaFlex
In dental applications, U.S. orthodontic manufacturer DynaFlex has upgraded its digital workflow with the DMP Flex 200 metal 3D printer from 3D Systems, supplied and installed by their official supplier Nota3D. Featuring a 500 W laser and enlarged build platform, the system has increased DynaFlex’s production speeds by up to 80% for small custom components such as fixed appliances and bands.
Matt Malabey, DynaFlex’s Director of Operations, noted that integrated software for orientation, nesting, and support generation further streamlines workflow: “Automation tools and improved onboarding allow us to scale smarter and faster.” The Flex 200 supports LaserForm CoCr, Stainless Steel 316 L, and Ti Gr23 alloys, aligning material properties with clinical performance standards.
Prusa Research Opens EasyPrint to All Mobile Users
Shifting to software, Czech desktop 3D printer maker Prusa Research has launched EasyPrint, a cloud-powered slicer embedded in the official PRUSA mobile app and accessible via Printables.com. It lets users prepare and send G-code directly from smartphones and tablets, automatically detecting compatible printers and applying the correct print profiles. An interactive 3D preview allows models to be moved, rotated, scaled and batch-arranged on virtual beds, while basic settings such as copy count and object size are consolidated into a one-click workflow. EasyPrint began as an invite-only beta used to collect performance metrics and optimize scalability before opening to everyone once preliminary tests proved the service smooth, according to Ondřej Drebota, Prusa’s Head of Country Development Managers & Partnerships Manager. All G-code generation runs in the cloud, enabling even low-powered devices to handle complex workflows, and users can download prepared files for offline printing. Prusa plans to extend EasyPrint compatibility to non-Prusa printers in future updates, broadening its reach across the 3D printing community.
Nikon SLM Solutions and DynaFlex Upgrade Metal AM Workflow
On 3D platform news, German metal 3D printer manufacturer Nikon SLM Solutions has integrated Freiburg’s automated depowdering specialist Solukon’s SFM-AT1500-S system at its Long Beach, California AM Technology Center. Paired to German manufacturer’s NXG 600E large-format 3D printer, the SPR-Pathfinder-driven unit handles parts up to 1,500 mm tall and 2,100 kg total weight, automating powder removal for industrial-scale metal components.
Nikon SLM Solutions’ COO Gerhard Bierleutgeb stressed the importance of closely linking printing and automated depowdering for optimal production flow. Solukon’s CTO Andreas Hartmann added that the SFM-AT1500-S was custom-engineered to meet Nikon’s requirements for high-mass, complex geometries while maintaining a compact installation footprint.
Andreas Hartmann, CEO/CTO of Solukon, and Joshua Forster, Production Manager at Nikon SLM Solutions. Photo via Solukon.
Formnext 2025 Announces Call for Speakers
Looking ahead to events, Germany’s trade-fair organizer Mesago Messe Frankfurt GmbH has opened its call for speakers for the upcoming Formnext 2025, to be held November 18-21 in Frankfurt. Submissions for the Industry Stageand the Application Stageremain open through June.
Mesago’s Vice President Christoph Stüker explained that the multistage program is central to Formnext’s mission of disseminating AM knowledge and driving new applications. Additionally, Vice President Sascha F. Wenzler noted that the speaking slots offer an ideal platform for experts to share insights, build their profiles, and forge valuable industry connections.
Adding to that, materials supplier participation at Formnext Asia Shenzhen 2025 has jumped 68% year-on-year, with booth bookings already at 70% capacity for the 26–28 August event at Shenzhen World Exhibition & Convention Center. The expanded materials segment, now covering advanced polymers, composites and specialised alloys, will feature over 30 exhibitors in metal powders, ceramicsand polymers.
Louis Leung, Deputy General Manager of Guangzhou Guangya Messe Frankfurt, highlighted China’s rapid ascent as an AM leader, noting that national policy support and investment have fuelled double-digit growth in the domestic materials sector. Fringe activities include the 3D Print Farm Conference on filament supply chains and an expanded Laser & AM Forum, while related events, Formnext Asia Forum Tokyoand Formnext Frankfurt round out the global network. Exhibitor registrations remain open online.
A panel discussion recorded live at the Industry Stage during Formnext 2024. Photo via Formnext/Mesago Messe Frankfurt GmbH.
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Featured image shows a panel discussion recorded live at the Industry Stage during Formnext 2024. Photo via Formnext/Mesago Messe Frankfurt GmbH.

Anyer Tenorio Lara
Anyer Tenorio Lara is an emerging tech journalist passionate about uncovering the latest advances in technology and innovation. With a sharp eye for detail and a talent for storytelling, Anyer has quickly made a name for himself in the tech community. Anyer's articles aim to make complex subjects accessible and engaging for a broad audience. In addition to his writing, Anyer enjoys participating in industry events and discussions, eager to learn and share knowledge in the dynamic world of technology.
#sliced #latest #news #printing #industry

SLICED: Latest news from the 3D Printing Industry

In this edition of SLICED, the 3D Printing Industry news digest, we compile the latest developments across the additive manufacturingsector, including equipment-sharing partnerships, market expansions in Europe and Mexico, and new standards working groups. Today’s edition features reseller appointments, research consortium launches, large-format platform integrations, dental appliance automation, and calls for conference speakers. Read on for updates from AM 4 AM, Meltio, One Click Metal, Axtra3D, Nikon SLM Solutions, Formnext 2025, and more. Emerging partnerships from AM 4 AM, and Meltio Kicking off with partnerships, Luxembourg’s materials R&D firm AM 4 AM has partnered with Stockholm aluminum powder supplier Gränges Powder Metallurgy, relocating the Swedish supplier’s materials characterization park to AM 4 AM’s facility. Under the agreement, AM 4 AM will operate GPM’s particle size analyzers, thermal testers, and mechanical-testing rigs to accelerate development cycles and strengthen quality control across both companies’ product lines. AM 4 AM Co-founder Maxime Delmée noted that access to GPM’s instrumentation will enable faster iteration and more data-driven decision-making. Highlighting benefits, GPM Managing Director Peter Vikner explained that relocating the equipment to AM 4 AM addressed both firms’ R&D requirements while leveraging AM 4 AM’s operational capabilities. Moving on, Spanish wire-laser metal 3D printer manufacturer Meltio has announced partnerships with Monterrey-based service provider Alar, and academic institution Tecnológico de Monterrey.With this move, Alar will integrate the award-winning M600 industrial wire-laser 3D printer into its production lines, while the institution has acquired a Meltio M450 for academic training and industry collaboration. Additionally, the Spanish manufacturer has also announced additive manufacturing integrator Sitres Latam as its official distributor. Meltio’s wire-feed deposition process, which supports stainless steel, titanium, Inconel, and copper, offers mechanical properties on par with conventionally manufactured parts while reducing waste and emissions. “This alliance with Sitres, Alar, and Tecnológico de Monterrey is fundamental to promoting real and functional metal 3D printing solutions in Mexico,” said Alar CEO Andrea Alarcón. Meltio partners with Alar, SITRES, and Tecnológico de Monterrey to expand metal 3D printing capabilities in Mexico. Photo via Meltio. One Click Metal and Axtra3D Appoint New Resellers in Iberia Turning to resellers and distribution, German metal 3D printing systems developer One Click Metal has expanded into Portugal through a collaboration with Lisbon’s industrial additive manufacturing services provider 3D Ever. The agreement gives local businesses direct access to One Click Metal’s cartridge-based powder handling systems and Lab Module for rapid material changes, alongside region-specific training and post-installation support. Founded in 2017, 3D Ever operates a multi-technology showroom—covering covering stereolithography, selective laser sintering, fused filament fabrication, and direct metal laser sintering—and hosts open-house events and technical workshops to integrate 3D printing into customer workflows. “Portugal is a dynamic market for additive manufacturing,” said One Click Metal’s Global Sales Director Martin Heller, “and 3D Ever’s deep industry knowledge makes them the ideal partner.” Meanwhile, Milan-based photopolymer 3D printer innovator Axtra3D has named Spain and Portugal’s Maquinser S.A. as its professional reseller for Hi-Speed SLA systems. Maquinser will showcase the Lumia X1 platform combining Hybrid PhotoSynthesis and TruLayer technologies at three major industry events through June: the International Machine-Tool Fairin Porto, Portugal; the Subcontratación Industrial & Addit3D expo in Bilbao, Spain; and the MindTECH manufacturing technology fair in Porto. “Axtra3D’s Hi-Speed SLA strikes the balance between surface quality, precision, and material flexibility,” said Maquinser CEO Christian Postigo. Andreas Tulaj, SVP Europe Sales at Axtra3D, added that Maquinser’s regional presence ensures localized support, rapid deployment, and customer-specific solutions across automotive, aerospace, energy, and mold-making sectors. Axtra3D appoints Maquinser S.A. as official reseller for Spain and Portugal. Image via Maquinser. 3MF Consortium and Ecosistema GO! Launch AM Research Initiatives On the research corner, the Microsoft-backed standards organization 3MF Consortium has formed a 6-Axis Toolpath Working Group to define open data structures for robotic and multi-axis AM workflows. The effort invites professionals using industrial robots and advanced CNC platforms to develop a 3MF extension that encodes non-planar toolpath data, enabling seamless interoperability across design, toolpath generation, and machine control software. Originally created to surpass STL and OBJ for complex manufacturing data, the 3MF format already supports units, materials, lattices, slice data, and metadata. This new working group will build on modules like the Beam Lattice Extension to integrate multi-axis motion paths, with open-source reference implementations available via the consortium’s GitHub repository. Elsewhere in Europe, Spain’s Centre for the Development of Industrial Technology-backed Ecosistema GO! Projecthas launched to map national AM capabilities and drive industrial adoption. The initiative will publish a structured “map of capabilities” covering infrastructure, specialization areas, and R&D projects, while hosting workshops in automotive, energy, and aerospace to share success stories and define adoption strategies. “Ecosistema GO! aligns capabilities, generates synergies, and accelerates AM’s real incorporation into Spanish industry,” said IAM3DHUB General Secretary David Adrover. Open for new members through December 2025, the consortium aims to serve as Spain’s reference network for additive manufacturing. The 3MF Consortium invites participants to join its newly launched 6-Axis Toolpath Working Group. Image via 3MF Consortium. Dental Production Boosted by DMP Flex 200 Integration at DynaFlex In dental applications, U.S. orthodontic manufacturer DynaFlex has upgraded its digital workflow with the DMP Flex 200 metal 3D printer from 3D Systems, supplied and installed by their official supplier Nota3D. Featuring a 500 W laser and enlarged build platform, the system has increased DynaFlex’s production speeds by up to 80% for small custom components such as fixed appliances and bands. Matt Malabey, DynaFlex’s Director of Operations, noted that integrated software for orientation, nesting, and support generation further streamlines workflow: “Automation tools and improved onboarding allow us to scale smarter and faster.” The Flex 200 supports LaserForm CoCr, Stainless Steel 316 L, and Ti Gr23 alloys, aligning material properties with clinical performance standards. Prusa Research Opens EasyPrint to All Mobile Users Shifting to software, Czech desktop 3D printer maker Prusa Research has launched EasyPrint, a cloud-powered slicer embedded in the official PRUSA mobile app and accessible via Printables.com. It lets users prepare and send G-code directly from smartphones and tablets, automatically detecting compatible printers and applying the correct print profiles. An interactive 3D preview allows models to be moved, rotated, scaled and batch-arranged on virtual beds, while basic settings such as copy count and object size are consolidated into a one-click workflow. EasyPrint began as an invite-only beta used to collect performance metrics and optimize scalability before opening to everyone once preliminary tests proved the service smooth, according to Ondřej Drebota, Prusa’s Head of Country Development Managers & Partnerships Manager. All G-code generation runs in the cloud, enabling even low-powered devices to handle complex workflows, and users can download prepared files for offline printing. Prusa plans to extend EasyPrint compatibility to non-Prusa printers in future updates, broadening its reach across the 3D printing community. Nikon SLM Solutions and DynaFlex Upgrade Metal AM Workflow On 3D platform news, German metal 3D printer manufacturer Nikon SLM Solutions has integrated Freiburg’s automated depowdering specialist Solukon’s SFM-AT1500-S system at its Long Beach, California AM Technology Center. Paired to German manufacturer’s NXG 600E large-format 3D printer, the SPR-Pathfinder-driven unit handles parts up to 1,500 mm tall and 2,100 kg total weight, automating powder removal for industrial-scale metal components. Nikon SLM Solutions’ COO Gerhard Bierleutgeb stressed the importance of closely linking printing and automated depowdering for optimal production flow. Solukon’s CTO Andreas Hartmann added that the SFM-AT1500-S was custom-engineered to meet Nikon’s requirements for high-mass, complex geometries while maintaining a compact installation footprint. Andreas Hartmann, CEO/CTO of Solukon, and Joshua Forster, Production Manager at Nikon SLM Solutions. Photo via Solukon. Formnext 2025 Announces Call for Speakers Looking ahead to events, Germany’s trade-fair organizer Mesago Messe Frankfurt GmbH has opened its call for speakers for the upcoming Formnext 2025, to be held November 18-21 in Frankfurt. Submissions for the Industry Stageand the Application Stageremain open through June. Mesago’s Vice President Christoph Stüker explained that the multistage program is central to Formnext’s mission of disseminating AM knowledge and driving new applications. Additionally, Vice President Sascha F. Wenzler noted that the speaking slots offer an ideal platform for experts to share insights, build their profiles, and forge valuable industry connections. Adding to that, materials supplier participation at Formnext Asia Shenzhen 2025 has jumped 68% year-on-year, with booth bookings already at 70% capacity for the 26–28 August event at Shenzhen World Exhibition & Convention Center. The expanded materials segment, now covering advanced polymers, composites and specialised alloys, will feature over 30 exhibitors in metal powders, ceramicsand polymers. Louis Leung, Deputy General Manager of Guangzhou Guangya Messe Frankfurt, highlighted China’s rapid ascent as an AM leader, noting that national policy support and investment have fuelled double-digit growth in the domestic materials sector. Fringe activities include the 3D Print Farm Conference on filament supply chains and an expanded Laser & AM Forum, while related events, Formnext Asia Forum Tokyoand Formnext Frankfurt round out the global network. Exhibitor registrations remain open online. A panel discussion recorded live at the Industry Stage during Formnext 2024. Photo via Formnext/Mesago Messe Frankfurt GmbH. Take the 3DPI Reader Survey — shape the future of AM reporting in under 5 minutes. Ready to discover who won the 20243D Printing Industry Awards? Subscribe to the 3D Printing Industry newsletter to stay updated with the latest news and insights. Featured image shows a panel discussion recorded live at the Industry Stage during Formnext 2024. Photo via Formnext/Mesago Messe Frankfurt GmbH. Anyer Tenorio Lara Anyer Tenorio Lara is an emerging tech journalist passionate about uncovering the latest advances in technology and innovation. With a sharp eye for detail and a talent for storytelling, Anyer has quickly made a name for himself in the tech community. Anyer's articles aim to make complex subjects accessible and engaging for a broad audience. In addition to his writing, Anyer enjoys participating in industry events and discussions, eager to learn and share knowledge in the dynamic world of technology. #sliced #latest #news #printing #industry

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SLICED: Latest news from the 3D Printing Industry

In this edition of SLICED, the 3D Printing Industry news digest, we compile the latest developments across the additive manufacturing (AM) sector, including equipment-sharing partnerships, market expansions in Europe and Mexico, and new standards working groups. Today’s edition features reseller appointments, research consortium launches, large-format platform integrations, dental appliance automation, and calls for conference speakers. Read on for updates from AM 4 AM, Meltio, One Click Metal, Axtra3D, Nikon SLM Solutions, Formnext 2025, and more. Emerging partnerships from AM 4 AM, and Meltio Kicking off with partnerships, Luxembourg’s materials R&D firm AM 4 AM has partnered with Stockholm aluminum powder supplier Gränges Powder Metallurgy (GPM), relocating the Swedish supplier’s materials characterization park to AM 4 AM’s facility. Under the agreement, AM 4 AM will operate GPM’s particle size analyzers, thermal testers, and mechanical-testing rigs to accelerate development cycles and strengthen quality control across both companies’ product lines. AM 4 AM Co-founder Maxime Delmée noted that access to GPM’s instrumentation will enable faster iteration and more data-driven decision-making. Highlighting benefits, GPM Managing Director Peter Vikner explained that relocating the equipment to AM 4 AM addressed both firms’ R&D requirements while leveraging AM 4 AM’s operational capabilities. Moving on, Spanish wire-laser metal 3D printer manufacturer Meltio has announced partnerships with Monterrey-based service provider Alar, and academic institution Tecnológico de Monterrey.With this move, Alar will integrate the award-winning M600 industrial wire-laser 3D printer into its production lines, while the institution has acquired a Meltio M450 for academic training and industry collaboration. Additionally, the Spanish manufacturer has also announced additive manufacturing integrator Sitres Latam as its official distributor. Meltio’s wire-feed deposition process, which supports stainless steel, titanium, Inconel, and copper, offers mechanical properties on par with conventionally manufactured parts while reducing waste and emissions. “This alliance with Sitres, Alar, and Tecnológico de Monterrey is fundamental to promoting real and functional metal 3D printing solutions in Mexico,” said Alar CEO Andrea Alarcón. Meltio partners with Alar, SITRES, and Tecnológico de Monterrey to expand metal 3D printing capabilities in Mexico. Photo via Meltio. One Click Metal and Axtra3D Appoint New Resellers in Iberia Turning to resellers and distribution, German metal 3D printing systems developer One Click Metal has expanded into Portugal through a collaboration with Lisbon’s industrial additive manufacturing services provider 3D Ever. The agreement gives local businesses direct access to One Click Metal’s cartridge-based powder handling systems and Lab Module for rapid material changes, alongside region-specific training and post-installation support. Founded in 2017, 3D Ever operates a multi-technology showroom—covering covering stereolithography (SLA), selective laser sintering (SLS), fused filament fabrication (FFF), and direct metal laser sintering (DMLS)—and hosts open-house events and technical workshops to integrate 3D printing into customer workflows. “Portugal is a dynamic market for additive manufacturing,” said One Click Metal’s Global Sales Director Martin Heller, “and 3D Ever’s deep industry knowledge makes them the ideal partner.” Meanwhile, Milan-based photopolymer 3D printer innovator Axtra3D has named Spain and Portugal’s Maquinser S.A. as its professional reseller for Hi-Speed SLA systems. Maquinser will showcase the Lumia X1 platform combining Hybrid PhotoSynthesis and TruLayer technologies at three major industry events through June: the International Machine-Tool Fair (EMAF) in Porto, Portugal; the Subcontratación Industrial & Addit3D expo in Bilbao, Spain; and the MindTECH manufacturing technology fair in Porto. “Axtra3D’s Hi-Speed SLA strikes the balance between surface quality, precision, and material flexibility,” said Maquinser CEO Christian Postigo. Andreas Tulaj, SVP Europe Sales at Axtra3D, added that Maquinser’s regional presence ensures localized support, rapid deployment, and customer-specific solutions across automotive, aerospace, energy, and mold-making sectors. Axtra3D appoints Maquinser S.A. as official reseller for Spain and Portugal. Image via Maquinser. 3MF Consortium and Ecosistema GO! Launch AM Research Initiatives On the research corner, the Microsoft-backed standards organization 3MF Consortium has formed a 6-Axis Toolpath Working Group to define open data structures for robotic and multi-axis AM workflows. The effort invites professionals using industrial robots and advanced CNC platforms to develop a 3MF extension that encodes non-planar toolpath data, enabling seamless interoperability across design, toolpath generation, and machine control software. Originally created to surpass STL and OBJ for complex manufacturing data, the 3MF format already supports units, materials, lattices, slice data, and metadata. This new working group will build on modules like the Beam Lattice Extension to integrate multi-axis motion paths, with open-source reference implementations available via the consortium’s GitHub repository. Elsewhere in Europe, Spain’s Centre for the Development of Industrial Technology (CDTI)-backed Ecosistema GO! Project (coordinated by Leitat with partners Aitiip, Idonial, Aimen, Addimat, HP, and Meltio) has launched to map national AM capabilities and drive industrial adoption. The initiative will publish a structured “map of capabilities” covering infrastructure, specialization areas, and R&D projects, while hosting workshops in automotive, energy, and aerospace to share success stories and define adoption strategies. “Ecosistema GO! aligns capabilities, generates synergies, and accelerates AM’s real incorporation into Spanish industry,” said IAM3DHUB General Secretary David Adrover. Open for new members through December 2025, the consortium aims to serve as Spain’s reference network for additive manufacturing. The 3MF Consortium invites participants to join its newly launched 6-Axis Toolpath Working Group. Image via 3MF Consortium. Dental Production Boosted by DMP Flex 200 Integration at DynaFlex In dental applications, U.S. orthodontic manufacturer DynaFlex has upgraded its digital workflow with the DMP Flex 200 metal 3D printer from 3D Systems, supplied and installed by their official supplier Nota3D. Featuring a 500 W laser and enlarged build platform, the system has increased DynaFlex’s production speeds by up to 80% for small custom components such as fixed appliances and bands. Matt Malabey, DynaFlex’s Director of Operations, noted that integrated software for orientation, nesting, and support generation further streamlines workflow: “Automation tools and improved onboarding allow us to scale smarter and faster.” The Flex 200 supports LaserForm CoCr, Stainless Steel 316 L, and Ti Gr23 alloys, aligning material properties with clinical performance standards. Prusa Research Opens EasyPrint to All Mobile Users Shifting to software, Czech desktop 3D printer maker Prusa Research has launched EasyPrint, a cloud-powered slicer embedded in the official PRUSA mobile app and accessible via Printables.com. It lets users prepare and send G-code directly from smartphones and tablets, automatically detecting compatible printers and applying the correct print profiles. An interactive 3D preview allows models to be moved, rotated, scaled and batch-arranged on virtual beds, while basic settings such as copy count and object size are consolidated into a one-click workflow. EasyPrint began as an invite-only beta used to collect performance metrics and optimize scalability before opening to everyone once preliminary tests proved the service smooth, according to Ondřej Drebota, Prusa’s Head of Country Development Managers & Partnerships Manager. All G-code generation runs in the cloud, enabling even low-powered devices to handle complex workflows, and users can download prepared files for offline printing. Prusa plans to extend EasyPrint compatibility to non-Prusa printers in future updates, broadening its reach across the 3D printing community. Nikon SLM Solutions and DynaFlex Upgrade Metal AM Workflow On 3D platform news, German metal 3D printer manufacturer Nikon SLM Solutions has integrated Freiburg’s automated depowdering specialist Solukon’s SFM-AT1500-S system at its Long Beach, California AM Technology Center. Paired to German manufacturer’s NXG 600E large-format 3D printer, the SPR-Pathfinder-driven unit handles parts up to 1,500 mm tall and 2,100 kg total weight, automating powder removal for industrial-scale metal components. Nikon SLM Solutions’ COO Gerhard Bierleutgeb stressed the importance of closely linking printing and automated depowdering for optimal production flow. Solukon’s CTO Andreas Hartmann added that the SFM-AT1500-S was custom-engineered to meet Nikon’s requirements for high-mass, complex geometries while maintaining a compact installation footprint. Andreas Hartmann, CEO/CTO of Solukon, and Joshua Forster, Production Manager at Nikon SLM Solutions. Photo via Solukon. Formnext 2025 Announces Call for Speakers Looking ahead to events, Germany’s trade-fair organizer Mesago Messe Frankfurt GmbH has opened its call for speakers for the upcoming Formnext 2025, to be held November 18-21 in Frankfurt. Submissions for the Industry Stage (covering sustainability, AI, standards, and talent) and the Application Stage (focusing on sectors like automotive, aerospace, and medical) remain open through June. Mesago’s Vice President Christoph Stüker explained that the multistage program is central to Formnext’s mission of disseminating AM knowledge and driving new applications. Additionally, Vice President Sascha F. Wenzler noted that the speaking slots offer an ideal platform for experts to share insights, build their profiles, and forge valuable industry connections. Adding to that, materials supplier participation at Formnext Asia Shenzhen 2025 has jumped 68% year-on-year, with booth bookings already at 70% capacity for the 26–28 August event at Shenzhen World Exhibition & Convention Center. The expanded materials segment, now covering advanced polymers, composites and specialised alloys, will feature over 30 exhibitors in metal powders (including Acc Material, JSJW New Material and Tiangong Technology), ceramics (Wuhan 3DCERAM, Nanoe France) and polymers (eSUN, SUNLU). Louis Leung, Deputy General Manager of Guangzhou Guangya Messe Frankfurt, highlighted China’s rapid ascent as an AM leader, noting that national policy support and investment have fuelled double-digit growth in the domestic materials sector. Fringe activities include the 3D Print Farm Conference on filament supply chains and an expanded Laser & AM Forum, while related events, Formnext Asia Forum Tokyo (25-6 September) and Formnext Frankfurt round out the global network. Exhibitor registrations remain open online. A panel discussion recorded live at the Industry Stage during Formnext 2024. Photo via Formnext/Mesago Messe Frankfurt GmbH. Take the 3DPI Reader Survey — shape the future of AM reporting in under 5 minutes. Ready to discover who won the 20243D Printing Industry Awards? Subscribe to the 3D Printing Industry newsletter to stay updated with the latest news and insights. Featured image shows a panel discussion recorded live at the Industry Stage during Formnext 2024. Photo via Formnext/Mesago Messe Frankfurt GmbH. Anyer Tenorio Lara Anyer Tenorio Lara is an emerging tech journalist passionate about uncovering the latest advances in technology and innovation. With a sharp eye for detail and a talent for storytelling, Anyer has quickly made a name for himself in the tech community. Anyer's articles aim to make complex subjects accessible and engaging for a broad audience. In addition to his writing, Anyer enjoys participating in industry events and discussions, eager to learn and share knowledge in the dynamic world of technology.

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