Altech Batteries has announced a milestone in its Silumina Anodes technology, achieving an average 55 per cent increase in lithium battery anode energy capacity, building on its previous 30 per cent improvement.

Utilising innovative proprietary technology, Altech has blended alumina-coated silicon particles (10 per cent) with battery-grade graphite to create a composite graphite/silicon anode, the company said in an ASX announcement.  

“We are thrilled with the significant progress we have made in overcoming the critical challenges associated with using silicon in lithium-ion battery anodes,” stated CEO and Managing Director Iggy Tan. 

In a series of tests, Altech’s lithium-ion battery anode material demonstrated an average energy retention capacity of approximately 500 mAh/g, surpassing the typical average of 320 mAh/g for standard lithium-ion battery anodes. 

Altech previously reported advancements in battery technology, highlighting the development of lithium-ion battery anode materials with a retention capacity approximately 30 per cent higher than standard materials. 

Following this progress, Altech’s research and development laboratory in Perth, Western Australia, has been working to enhance the technology even further.

Laboratory tests of the composite graphite/silicon batteries revealed that Altech effectively tackled previously unresolved issues associated with silicon in lithium-ion battery anodes.

Notable challenges included silicon particle swelling, first-cycle capacity loss of up to 50 per cent, and rapid battery degradation. 

Through the spherification of silicon particles, Altech found that the spherical structure allows for better distribution within graphite voids, minimizing damage to the electrode layer due to expansion.

Historically, the use of silicon in commercial lithium-ion batteries has been limited due to two critical drawbacks: the expansion of silicon particles during charging and the deactivation of a significant percentage of lithium ions, which diminishes battery performance and lifespan, the company noted. 

Altech has completed a Definitive Feasibility Study for constructing an 8,000 tpa Silumina Anodes plant in Saxony, Germany, projecting strong economic returns with a pre-tax NPV10 of €684 million and a low capital cost of €112 million.

“Our breakthrough technology represents a major step forward in unlocking the full potential of silicon in lithium-ion batteries, and we believe it has the potential to revolutionise the battery industry,” Tan stated.  

“We are currently commissioning a pilot plant to further scale up our technology and bring it to market,” he concluded.

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Hazer Group has extended its non-binding Memorandum of Understanding (MOU) with Japanese trading giant Mitsui & Co, Ltd (Tokyo, Japan), pushing forward joint efforts to explore potential markets for Hazer’s low-emissions graphite. 

The agreement, which builds on the original MOU announced on 16 November 2022, will now continue for another year, with automatic renewals unless terminated by either party, as revealed in an ASX announcement. 

The partnership leverages Mitsui’s extensive global network to evaluate the applications of Hazer’s graphite in steel manufacturing, chemicals, and other sectors. 

Hazer has already conducted positive market analysis, identifying promising segments for its graphite, including iron and steel production, thermal energy storage, and water purification.

“We are excited to be extending our strategic partnership with Mitsui,” said Hazer’s CEO and Managing Director, Glenn Corrie. 

“Hazer’s technology is unique in that it produces both low-cost, clean hydrogen as well as a low-emissions graphite product.”

Initial investigations have pointed to a variety of applications for Hazer’s graphite:

• Steel Manufacturing: Hazer’s graphite demonstrates suitability for both traditional blast furnaces and emerging green-steel processes, owing to its structured composition and iron inclusion.
• Thermal Energy Storage: Its excellent thermal conductivity and stability make it an efficient medium for heat transfer.
• Water Purification: Hazer’s graphite has shown potential for enhanced PFAS removal, a growing environmental concern.
• Construction Materials: The graphite is also being evaluated for asphalt, bitumen, and concrete production.

According to Corrie, the collaboration with Mitsui helps Hazer access challenging markets and critical industries where decarbonisation solutions are in high demand. 

“In light of increased global awareness around the vulnerability of critical mineral supply chains, this is a clear value differentiator for Hazer’s technology in the methane pyrolysis space,” he added.

As part of the extended agreement, the two companies will move forward with further product evaluation and larger sample testing from Hazer’s Commercial Demonstration Plant (CDP). 

Both companies will also engage with potential buyers to establish volumes, pricing frameworks, and potential offtake agreements.

“Through this important partnership with Mitsui, we have jointly identified markets that offer a good fit for our graphite, and discussions are ongoing to establish volume, pricing ranges, and potential offtake opportunities,” Corrie explained.

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Local startup Paladin Space is poised to advance its efforts in mitigating the dangers of space debris to spacecraft, following the receipt of a $100,000 grant from the South Australian Government.

The startup aims to address the estimated 9,000 metric tons of debris currently orbiting Earth, including defunct satellites, rocket parts, and smaller fragments that travel at speeds of up to 27,000 kilometres per hour.

Harrison Box, the founder of Paladin Space, emphasised the urgency of tackling this issue. “With an estimated 9,000 metric tons of space debris currently scattered in orbit, and moving at extremely high speeds, a piece as small as a pen lid could easily damage any satellite in its way and put astronauts at risk,” Box explained. 

His company is developing a reusable space debris remover designed to benefit commercial satellite owners, the defence industry, and government space agencies.

To support its mission, Paladin Space is collaborating with the Australian Institute for Machine Learning (AIML) to develop new image-processing techniques powered by artificial intelligence. 

The Seed-Start grant will aid in refining the company’s novel capture design technology and is expected to help finalise a prototype for demonstration by mid-2025.

This advancement will accelerate Paladin Space’s pathway to market and attract further investment funding.

“The South Australian Government is proud to support innovations like Paladin Space’s reusable space debris remover through Seed-Start grants provided through the Research and Innovation Fund,” said Susan Close, the Minister for Innovation and Skills.

“As home to the nation-leading Australian Institute for Machine Learning, South Australia is leading the way in AI technologies. It’s no surprise that this innovation has captured the attention of local and international investors and space organizations.”

In addition to its grant funding, Paladin Space will join eight other South Australian startups as part of an Australian delegation to the United States from October 27 to November 2. 

Sponsored by the South Australian Government and hosted by Tribe Global Ventures, the delegation aims to pursue business development opportunities, including meetings with SpaceX and NASA to pitch its debris removal technology.

Stephen Mullighan, the Minister for Transport and Infrastructure, emphasized the importance of supporting the growing space sector in South Australia. 

“The South Australian Government has a clear vision to create a thriving and enduring space sector, and we are investing in programs and initiatives that will continue to build our state’s—and our nation’s—innovative and world-class space capabilities,” Mullighan stated. 

“This $100,000 grant will provide a boost for Paladin Space and the South Australian space sector and underscores the state’s position as a leading incubator for space technology.”

According to the government, Paladin Space’s initiative not only addresses a critical issue facing the aerospace industry but also positions South Australia at the forefront of emerging technologies. 

As Box noted, “Our Seed-Start grant will help us explore new image processing techniques with support from the Australian Institute for Machine Learning, refine our novel capture design technology, and demonstrate our debris removal capability on a global stage.”

The Seed-Start program, part of the South Australian Government’s Research and Innovation Fund, provides grant funding for high-growth potential businesses, with applications accepted on a rolling basis. 

For more information and guidelines, interested parties can visit the Department of State Development’s website.

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Article by Joe Craparotta, Vice President, Cloud & Service Providers, Pacific Zone
at Schneider Electric

In the past year, artificial intelligence (AI) has surged forward like a digital renaissance, echoing the rapid and transformative rise of the Internet in the late 1990s.

It has revolutionised industries and redefined our daily lives with extraordinary speed – and its impact is set to grow even more substantially in the coming years. Investments in generative AI reached US$25.2 billion in 2023, nearly nine times the amount invested in 2022, and approximately 20 times the funding seen in 2019. 

This rapid growth presents data centre companies with opportunities to innovate, expand their service offerings, and cater to the evolving needs of AI-driven applications and enterprises. By embracing AI technologies and adapting their infrastructure and operations accordingly, data centres play a crucial role in enabling the broader adoption and success of AI across various sectors. 

However, the integration of AI comes with its own set of challenges. AI currently requires 4.3GW of data centre power, projected to reach up to 18GW by 2028. This surge surpasses current data centre power demand growth rates, presenting capacity and sustainability challenges. AI requires data centres not just to expand but to fundamentally transform their architecture, including specialised IT infrastructure, power, and cooling systems. 

Powering sustainable AI data centres 

AI workloads are expected to grow two to three times faster than legacy data centre workloads, representing 15 to 20% of all data centre capacity by 2028.  More workloads will also start moving closer to users at the edge to reduce latency and enhance performance.

Training large language models often necessitates thousands of graphics processing units (GPUs) working in unison. In large AI clusters, the cluster size can range from 1 MW to 2 MW with rack densities from 25 kW to 120 kW, depending on the GPU model and quantity. These characteristics significantly impact rack power density, presenting substantial infrastructure challenges for data centres.  Currently, most data centres can only support rack power densities of about 10 to 20 kW. 

Data centres must adapt to meet the evolving power needs of AI-driven applications effectively and sustainably, so optimising physical infrastructure to meet AI requirements is crucial. Transitioning from low-density to high-density configurations can help address these challenges. Collaborations with technology providers like NVIDIA, the most recent Executive brief conducted by both companies emphasises the critical role of reference designs in expediting the deployment of high-density AI clusters in data centres,  , enabling advancements in edge AI and digital twin technologies. Retrofit reference designs for adding AI clusters into existing facilities, and new-build designs specifically tailored for accelerated computing clusters, can support various applications, including data processing, engineering simulation, electronic design automation, and generative AI. 

By addressing the evolving demands of AI workloads, these reference designs will provide a robust framework for integrating NVIDIA’s accelerated computing platform into data centres, enhancing performance, scalability, and sustainability.

Keeping AI data centres cool

AI data centres generate substantial heat, necessitating the use of liquid cooling to ensure optimal performance, sustainability, and reliability. Cooling systems, aside from IT infrastructure, rank as the second-largest energy consumers in data centres. In less densely utilised traditional data centres and distributed IT locations, cooling can account for 20 to 40% of the facility’s total energy consumption.

Liquid cooling offers many benefits, including higher energy efficiency, smaller footprint, lower total cost of ownership (TCO), enhanced server reliability, and lower noise levels. 

As the demand for AI processing power grows and thermal loads increase, liquid cooling becomes a critical element in data centre design. Adopting liquid cooling solutions can cover various needs, from white space solutions to heat rejection strategies. Resources like white papers on liquid cooling architectures can help data centre companies navigate the intricacies of system design, implementation, and operational considerations.

AI and data centre evolution for a sustainable future

AI has the potential to optimise energy usage, yet it also raises concerns about increased energy consumption. Accelerated computing, which drives the AI revolution, can enable us to achieve more with fewer resources in data centre infrastructure. 

However, it’s crucial to evaluate AI’s broader impact on energy consumption and the environment. Gartner reveals that 80% of CIOs will have performance metrics tied to the sustainability of the IT organisation by 2027. 

According to the Sustainability Index, 2024, nearly one in 10 business decision-makers around Australia are already using AI as a resource for decarbonisation transformation. Combining AI with real-time monitoring can turn data into actionable insights for improved sustainability. Studies indicate that advanced energy management capabilities can lead to significant savings on utility expenses by optimising power usage and cooling efficiencies.

Data centres operate with significant energy demands, posing challenges to environmental sustainability. Optimising energy efficiency, lowering carbon emissions, and enhancing operational resilience, are essential to enable data centres to operate responsibly, fostering a more sustainable future.

The demand for AI and the evolution of the data centre are interconnected elements shaping the digital landscape. Increased workloads, especially deep learning AI models, require significant computing resources to train. This requires data centres that can support the performance requirements of AI workloads.

As AI technology advances, it will continue to influence the design and operation of data centres. While these advancements bring efficiency and innovation, they also pose challenges related to energy consumption, and power and cooling systems.

This relentless advancement of AI is only going to continue, and to meet these evolving needs, the data centre industry needs to adapt.

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As the tech world converges in Sydney for SXSW Sydney 2024, the National AI Centre (NAIC) is highlighting the event as a key feature during Australia’s AI Month. 

This year’s gathering follows the inaugural SXSW Sydney held in 2023, which marked the beginning of a 10-year agreement to host the festival outside the United States.

The week-long celebration of innovation will unite small and medium enterprises (SMEs), startups, technology innovators, thought leaders, industry decision-makers, academia, and government agencies. 

Participants will have the opportunity to engage in various experiences, including exploring the NAIC #AIAustralia experience space at the SXSW Tech & Innovation Expo, connecting with Australia’s AI Adopt Centres, and learning about the burgeoning AI industry in Australia.

Attendees can expect to delve into topics such as AI music and image creation, AI safety, and their personal AI journeys. 

The conference will also feature leading AI experts discussing significant themes.

Notable sessions at the SXSW Conference include “Perceptive Robots Are Coming – Look Busy!” and “AI for Good Is Good for Australia.”

Additionally, the NAIC will host sessions at the Discovery Stage within the SXSW Tech & Innovation Expo, focusing on the impact of AI on human creativity and a debate titled “Australia Should Be a Leader in AI.”

The event will also support the Build Club AI Hackathon, which will include brainstorming sessions on key hack themes, further fostering collaboration and innovation in the AI sector.

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GIGABYTE, a global leader in computer technology, has officially unveiled its latest advancements in artificial intelligence (AI) at the GIGABYTE Event. 

The event showcased GIGABYTE AI TOP, marking a new era of AI innovations with comprehensive software and hardware integration, as reported in a media release. 

The company also introduced its Intel Z890 and AMD X870 series motherboards, designed to push the boundaries of AI-driven performance.

Leading the announcements was GIGABYTE’s AI TOP Utility 2.0, an advanced tool designed to streamline AI training, featuring support for large machine models (LMMs).

The utility guides users through AI workflows, from model selection using RAG Check, to dataset creation, fine-tuning, and in-app validation. 

Supporting a wide range of LMMs, the system can train or fine-tune models on datasets of text, images, and video, allowing AI models to generate images and short videos in addition to text.

In terms of hardware, GIGABYTE’s AI TOP includes an optimised suite of SSDs, power supply units (PSUs), and chassis designed for high-performance AI workloads. 

These components offer enhanced power efficiency, durability, and heat dissipation, ensuring stability during heavy AI training tasks. 

Additionally, GIGABYTE announced the AI TOP 100 and AI TOP 500 setup kits—pre-built system barebones aimed at both beginners and professionals, providing flexibility for future upgrades. These kits are set to be available in Q4 2024.

Another highlight of the event was the unveiling of the AORUS Z890 series motherboards, engineered for Intel® Core Ultra processors. 

The Z890 series introduces the innovative D5 Bionic Corsa Technology, enabling AI-enhanced overclocking for peak DDR5 memory performance. 

GIGABYTE also introduced the AORUS X870 and X870E series motherboards, tailored for AMD Ryzen X3D series processors with an advanced VRM design to maximise performance.

These new motherboards join the AI TOP hardware lineup, including the Z890 AORUS XTREME AI TOP, Z890 AORUS MASTER AI TOP, and X870E AORUS XTREME AI TOP. 

These boards are built for dual-GPU configurations and feature Thunderbolt 5 technology, further enhancing local AI training capabilities.

For more details, visit the official GIGABYTE event page: GIGABYTE Event.

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A new state-of-the-art manufacturing lab, valued at $3 million, is set to be built by Applied Robotics at TAFE Queensland, powered by cutting-edge technologies from Rockwell Automation. 

The project, funded by the Queensland Government’s $100 million Equipping TAFE for Our Future program, aims to train the next generation of engineers, manufacturers, and innovators.

Scheduled for installation in February 2025, the advanced lab will be located at TAFE Queensland’s Ipswich campus, Rockwell Automation said in a news release.  

It will incorporate a range of advanced technologies from Rockwell Automation, including Internet of Things (IoT), Manufacturing Execution Systems (MES), digital twin visualisation, and Autonomous Mobile Robots (AMRs).

“We’ve had a long partnership with Rockwell, extending over 30 years. When we won the project to deliver this smart manufacturing lab, we knew Rockwell had the expertise and technologies to meet our needs,” said Isaac Roach, chief operating officer of Applied Robotics, a Silver OEM partner in Rockwell Automation’s PartnerNetwork.

Roach highlighted Rockwell’s ability to provide a comprehensive range of technologies under one roof. 

“Not many suppliers have all the technologies in one place, but with Rockwell, we could get IoT, MES, logistics technologies, PLCs, digital twin visualisation, and AMRs all from the one supplier,” he added.

The advanced manufacturing lab will focus on areas such as robotics, CNC (Computer Numerical Control) machining, machine vision and learning, as well as automated logistics and storage. 

A key outcome set out by the TAFE was that we needed to be able to train the trainers, so they are well-equipped to teach students in the new lab. Rockwell was instrumental in achieving this, particularly with its Plex software running the entire system with control down to the device level,” Roach explained. 

Plex, Rockwell’s SaaS-based Smart Manufacturing Platform, connects people, systems, and machines while tracking data from the shop floor to the top floor. 

This system automates business processes, provides analytics, and enhances visibility and quality control.

Anthony Wong, regional director of Rockwell Automation in South Pacific, emphasised the importance of such labs in developing Australia’s future talent. 

“It’s vital to nurture the next generation of manufacturing talent, and advanced labs like this will help train Australia’s innovators and entrepreneurs of the future,” Wong stated.

In addition to providing advanced automation technologies, Rockwell is also customising its solutions for an educational setting. 

One example is the design of a twinned PLC system that allows students to test their programming skills on one PLC, with the option to reset to default settings if needed.

This is a really clever system for an educational setup, and Rockwell took that challenge on and delivered an ideal result,” Roach noted. 

The lab will also feature Rockwell’s Emulate3D software, a digital twin technology that enables a full visualisation of plant systems. 

In an educational context, students can trial their designs in a virtual environment that replicates real-world conditions, helping them fine-tune their skills without the risks of physical mistakes.

Another key component of the lab will be Rockwell’s OTTO Motors Autonomous Mobile Robots (AMRs), marking one of the first local installations of OTTO, which Rockwell acquired in 2023.

“AMRs are at the forefront of industrial automation, and OTTO Motors AMRs are known globally for enhancing productivity in manufacturing facilities. Including them in the lab was a natural choice,” Roach noted.

“People are impressed with what this partnership between industry and education is set to achieve,” Roach said. 

“We are excited about these possibilities, and will look to continue to expand our strong partnership with Rockwell to continue delivering for the Australian education sector,” concluded Roach.

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Lenovo will host its tenth annual Global Tech World event on 15 October 2024, in Bellevue, Washington, celebrating a decade of innovation under the theme “Experience the Future of Smarter AI for All.”

The event will highlight Lenovo’s commitment to advancing artificial intelligence (AI) through a range of end-to-end solutions. 

Attendees can expect to see ground-breaking AI for Good projects, hybrid AI applications designed to empower both individuals and enterprises, and strategies for fast-tracking and deploying generative AI technology.

Lenovo will also emphasise its ongoing investments and collaborations with leading partners to provide comprehensive AI-ready, AI-enabled, and AI-optimised devices, infrastructure, solutions, and services. 

Key partners set to join Lenovo on stage include industry leaders from Intel, AMD, Qualcomm, Microsoft, and NVIDIA, who will discuss the future of AI and recap product launches earlier this year.

Some of the notable collaborations include:

• Intel: Lenovo was one of the first companies to introduce AI-enabled PCs featuring Intel Core Ultra processors.
• AMD: The launch of AI laptops powered by 3rd Gen Ryzen AI processors, catering to consumers, commercial sectors, and small-to-medium businesses.
• Qualcomm and Microsoft: The introduction of the first Copilot+ PCs powered by Snapdragon X Elite, specifically the Lenovo Yoga Slim 7x and ThinkPad T14s Gen 6.
• NVIDIA: New Hybrid AI solutions that leverage generative AI applications for enterprises, enhancing transformation capabilities across various industries.

Lenovo Chairman and CEO Yuanqing Yang will deliver a keynote session outlining the company’s latest innovations and strategic direction in pursuit of “Smarter AI for All.” 

Yang will showcase how hybrid AI technology is set to benefit users in various settings—be it at home, in the office, or on the move.

The event will cater to both in-person and virtual attendees, highlighting how Lenovo’s hybrid AI solutions support organizations of all sizes. 

Participants will learn about technologies that accelerate AI outcomes, enhance private AI scalability, and provide cost-effective access to GPU resources.

Additional speakers at the event will include Lenovo’s new Chief Technology Officer Dr Tolga Kurtoglu and President of the Emerging Technology Group Dr Yong Rui, alongside prominent figures such as AMD’s Lisa Su, Intel’s Pat Gelsinger, Microsoft’s Satya Nadella, Meta’s Mark Zuckerberg, and NVIDIA’s Jensen Huang.

For those unable to attend in person, Tech World ’24 will be live-streamed and available on-demand across multiple time zones. 

Interested participants can register and view the full agenda by visiting the Lenovo Tech World ’24 website.

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The Royal Swedish Academy of Sciences announced that the 2024 Nobel Prize in Physics will be awarded to John J. Hopfield from Princeton University, NJ, USA, and Geoffrey E. Hinton from the University of Toronto, Canada. 

The duo has been recognised “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

This year’s laureates have made significant contributions to the field of artificial intelligence by utilizing principles from physics to enhance machine learning technologies, the academy stated in a press release. 

Their work has laid the groundwork for the sophisticated neural networks that underpin many modern AI applications.

Contributions to machine learning

According to the academy, John Hopfield is best known for his invention of the Hopfield network, a revolutionary model that allows for the storage and reconstruction of images and patterns from data. 

Utilising concepts from physics, specifically the characteristics of atomic spin, Hopfield’s network resembles the energy dynamics of physical systems. 

In practical terms, this means that when presented with a distorted or incomplete image, the Hopfield network systematically processes and adjusts its internal values to converge on the closest stored image, thereby minimising its energy.

Geoffrey Hinton, often dubbed the “godfather of deep learning,” built upon Hopfield’s foundational work by developing the Boltzmann machine, a model that autonomously identifies and classifies elements within datasets. 

Hinton employed statistical physics to create this learning framework, which relies on feeding the machine examples to enhance its classification capabilities. 

His innovations have driven the rapid advancements in machine learning seen over the past several decades.

The intersection of physics and AI

The award highlights the profound intersection of physics and artificial intelligence. As noted by Ellen Moons, Chair of the Nobel Committee for Physics, “The laureates’ work has already been of the greatest benefit. In physics, we use artificial neural networks in a vast range of areas, such as developing new materials with specific properties.”

Artificial neural networks, inspired by the structure and function of the human brain, consist of interconnected nodes that mimic neurons. 

These networks learn by adjusting the strengths of their connections, akin to synapses, based on the data they process. 

The application of physics principles in the design and function of these networks has resulted in powerful tools for various fields, from image recognition to material science.

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International textile designer and manufacturer Camira has unveiled the textile industry’s first AI-powered reverse image search tool in the UK, aimed at simplifying the specification process for architects and design professionals.

In collaboration with material search platform Stylib, Camira has integrated this advanced technology into its newly launched website, the company said in a media release. 

The AI tool allows users to upload images of furniture, fabric, room settings, or Pantone colour references to quickly find matching Camira fabrics for their projects.

Sam Birkhead, head of Digital at Camira, expressed excitement about the new tool, stating, “We’re incredibly excited to be able to offer our customers this new and intuitive tool which enables architects and designers to quickly find precise products that meet their specifications, reducing the time spent on research and increasing the accuracy of their selections.” 

Birkhead noted the uniqueness of the tool, highlighting that few B2B companies currently offer image search capabilities, a feature typically reserved for major retailers like Ikea and Wayfair. 

“These advancements lead to faster and more confident specification processes, allowing for more efficient project timelines and improved overall design quality. Ultimately, AI’s integration is transforming the architectural landscape, paving the way for smarter, more sustainable, and innovative built environments,” he added.

Meanwhile, Noam Naveh, CEO of Stylib, noted that it was encouraging to see leading companies like Camira embracing advanced technologies that aid the work of the specifying community. 

He highlighted that, in addition to speeding up and improving the accuracy of specification processes, AI in the architectural products sector holds wider potential for promoting sustainability, driving innovation, and fostering collaboration. 

“AI’s ability to analyse vast datasets allows for the identification of eco-friendly materials and energy-efficient solutions, promoting sustainable design practices.” 

“Additionally, AI fosters innovation by providing architects with insights into emerging trends and new technologies, enabling them to push creative boundaries,” Naveh concluded. 

To learn more about the AI-powered tool, visit www.camirafabrics.com.

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