KUALA LUMPUR, Sept 3 (Bernama) -- Global credit rating agency, AM Best has maintained a stable outlook on Taiwan’s non-life insurance segment amid the implementation of Taiwan Insurance Solvency (TIS), IFRS 17, and consistent premium expansion across retail and commercial lines.
Also underpinning the stable outlook are non-life insurers’ conservative asset allocation and moderate equity exposure, which should help protect their overall profitability in the event domestic stock market volatility impacts the segment’s investment results.
According to the Best’s Market Segment Report, “Market Segment Outlook: Taiwan Non-Life Insurance”, implementation of TIS and IFRS 17 enhances cross-market comparability and elevates the strategic importance of capital management and earnings volatility analysis.
In a statement, AM Best said TIS has had a limited impact on the segment’s overall capitalisation, although market-risk capital requirements have increased moderately.
Meanwhile, the transition to IFRS 17 has been favourable to the segment’s reported capital position, with industry-wide reported shareholders’ equity increasing by approximately 10 per cent at year-end 2025.
Taiwan’s non-life insurance market remains mature and competitive, with demand for commercial lines coverage growing, supported by investments in high-technology manufacturing plants, renewable energy projects, and major infrastructure development.
The credit rating agency added that Taiwan’s non-life insurers are increasingly using artificial intelligence (AI) and data analytics to streamline underwriting, automate claims processing and detect fraud.
“AI adoption among Taiwan’s non-life insurers is likely to remain gradual and tightly controlled, with insurers prioritising internal operational and risk management tasks while maintaining continued oversight over customer-facing decisions,” said AM Best director of analytics, James Chan.
These changes should enhance operating efficiency, refine risk selection and help insurers better manage losses over time.
-- BERNAMA
Thursday, 3 September 2026
PU Prime Launches Australian Operations under ASIC Licence
- PU Prime officially launches operations in Australia through its ASIC-regulated local entity, PU Prime Trading Pty Ltd.
- With ASIC regulation and local operations in place, PU Prime is strengthening its presence and commitment to the Australian market.
SYDNEY, Australia, Sept 3 (Bernama-GLOBE NEWSWIRE) -- PU Prime, a global multi-licensed online brokerage, today announced the official launch of its operations in Australia through its local entity, PU Prime Trading Pty Ltd, regulated by the Australian Securities and Investments Commission (ASIC). PU Prime Trading Pty Ltd holds Australian Financial Services Licence (AFSL) No. 410681
After obtaining its ASIC licence, PU Prime invested in the resources and infrastructure needed to support Australian clients, including local operations, a dedicated customer support team, and systems aligned with regulatory requirements. The launch reflects the company's commitment to delivering a seamless and compliant trading experience in the Australian market.
“This launch marks the beginning of our long-term commitment to the Australian market. We will meet our obligations under the ASIC framework and deliver transparent and regulated services to our Australian clients,” says Mr Cristian Moreno, Director at PU Prime.
With the launch, Australian clients can now onboard directly through PU Prime's ASIC-regulated entity, reinforcing the company's commitment to operating within established regulatory frameworks while expanding access to its trading products and services. The milestone further strengthens PU Prime's global regulatory footprint and long-term growth strategy.
Important Notice: Trading derivatives carries significant high risks. It is not suitable for all investors and if you are a wholesales client, you could lose substantially more than your initial investment. When trading CFDs, you do not own the underlying assets and have no rights to them. Past performance is no indication of future performance and tax laws are subject to change. Before acquiring any financial products, please ensure that you read the relevant legal documents and are fully aware of the associated risks.
About PU Prime
Founded in 2015, PU Prime is a leading global fintech company and trusted CFD broker. Today, it offers regulated financial products across forex, commodities, indices, shares, and bonds. Operating in over 190 countries with more than 40 million app downloads, PU Prime provides innovative trading platforms to support traders worldwide in accessing global financial markets.
PU Prime Trading Pty Ltd (AFSL No. 410681), is a separate legal entity incorporated in Australia and regulated by Australian Securities and Investments Commission (ASIC). PU Prime Trading Pty Ltd is the issuer of CFD products to Australian residents only. Any information provided is general in nature and does not take into account your personal objectives, financial situation or needs.
The ASIC license held by PU Prime Trading Pty Ltd does not apply to, extent to, or cover any products or services offered by other PU Prime entities. References to PU Prime's global brand, group presence or international operations are for general information only and should not be taken as an offer, invitation or recommendation by any offshore entity to provide financial products or services in Australia.
A photo accompanying this announcement is available at
https://www.globenewswire.com/NewsRoom/AttachmentNg/b40cdf76-3349-4456-b6fc-f605f85fdd3e
For media enquiries, please contact: media@puprime.com
SOURCE: Pacific Union Seychelles Limited
DISCLAIMER: BERNAMA MREM are not accountable for any causes of website defacement, misuse, or illegal activities connected to cryptocurrency, blockchain, tokenisation, or bitcoin. This material should not be considered as guidance or an opinion, as it does not constitute financial or investment advice. Use this information at your own risk; we are not liable for any losses or damages caused by the republication of this article.
--BERNAMA
Russell Westbrook Announced as Co-Founder and Chief Strategy Officer of Project B
 |
| Russell Westbrook Announced as Co-Founder and Chief Strategy Officer of Project B |
Westbrook joins ownership of the global basketball platform shaping the next era for sport and entertainment
LOS ANGELES & SINGAPORE, Sept 3 (Bernama-BUSINESS WIRE) -- Project B today announced that NBA MVP Russell Westbrook has joined the company’s founding team as Chief Strategy Officer.
This press release features multimedia. View the full release here:
https://www.businesswire.com/news/home/20260902246769/en/
A generational talent and visionary whose influence transcends the court, Westbrook is a relentless business builder, a cultural vanguard, and a committed philanthropist. As Co-Founder and Chief Strategy Officer of Project B, he will take an active role in shaping the company’s basketball strategy and long-term vision. Westbrook holds an ownership stake in Project B and has joined its Board of Directors. His role extends to strategic partnerships and creates opportunities to collaborate with companies and initiatives across Westbrook’s broader business portfolio as the business grows globally.
“At every step of my career, what was most valuable to me was making sure everyone had a seat at the table,” said Westbrook. “With Project B, we’re challenging the norm and bringing a new vision to the intersection of premium sport, culture, and entertainment. We're reimagining the experience with players not only as key value drivers, but also as shareholders and decision makers."
The announcement is Westbrook’s first major business move since closing his 18-year NBA career. For more than a decade, Westbrook has been building a global empire alongside basketball. Through Russell Westbrook Enterprises, he has built and invested across technology, digital media, consumer businesses, real estate, sports and community infrastructure. He has founded, owned and invested in companies alongside institutional investors and used his businesses to connect commercial growth with investment and opportunity in communities historically excluded from both.
Project B’s launch comes as the economics of global sports are changing rapidly. Franchise values, media rights, sponsorships and international audiences have grown into enormous businesses while athletes increasingly look beyond compensation toward equity and ownership.
“Project B was built to put athletes inside the ownership and decision-making structure from the beginning,” said Grady Burnett, Co-Founder and Chief Operating Officer of Project B. “Russell brings an extraordinary combination of basketball intelligence, business ownership, cultural relevance and global reach. As co-founder, he will help shape both the game and the company as we expand the future for basketball globally.”
Project B is building a global grand prix that brings elite basketball and live entertainment to major basketball markets around the world. Project B has leaned into the fast-growing segment and signed many of the best women players in the world, pairing exciting young players with elite international talent and global superstars.
Launching in January 2027, tournaments will move through host markets across Asia, Europe and the Americas, turning each stop into a week-long festival of sport, entertainment and culture, offering unprecedented access to players and unique storytelling opportunities as they experience each city and play tournaments at the highest level, all streamed live on YouTube.
“Russell is one of the most accomplished players of his generation, and what makes him truly exceptional is the impact he has built beyond the game,” said Alana Beard, Co-Founder and Chief Basketball Officer of Project B. “He believes athletes should have a real voice in shaping this sport, and he's here to help build it. Having him as a co-founder makes us stronger and expands what we believe basketball can be globally.”
Westbrook’s mandate will also create additional collaboration between Project B and his broader ecosystem, including opportunities across media, consumer products and community programming. Additional partnerships will be announced separately.
About Project B
Project B is creating a sports and entertainment platform built for the next generation of players and fans. Owned by athletes, Project B brings together the world's best women and men to compete across iconic destinations in Asia, Europe, and the Americas. Designed for a streaming-first, social-native world and distributed globally on YouTube, Project B combines elite competition, culture, and premium experiences.
About Russell Westbrook
Russell Westbrook is an NBA MVP, nine-time NBA All-Star, entrepreneur, investor and philanthropist. His business, philanthropic and education platform includes Russell Westbrook Enterprises, RW Digital, Honor the Gift, the Russell Westbrook Why Not? Foundation and Westbrook Academy, launched in partnership with LA Promise Fund. Westbrook has spent more than a decade building businesses, investing capital and creating educational and economic opportunities in communities historically excluded from both.
About Russell Westbrook Enterprises
Founded by Russell Westbrook, Russell Westbrook Enterprises (RWE) is a diversified operating and investment company spanning financial services, life sciences, media, fashion, mobility, real estate, education, sports and community infrastructure. RWE deploys capital, builds and owns companies, makes strategic investments and forms commercial partnerships across those sectors. The company brings together Westbrook’s capital, business relationships and global reach to create, acquire and grow businesses and assets for the long term.
View source version on businesswire.com:
https://www.businesswire.com/news/home/20260902246769/en/
Contact
Johanna Hoopes
johanna@projectb.co
projectb.global
Source : Project B
--BERNAMA
Wednesday, 2 September 2026
ANAQUA: AI DRIVES SURGE IN SEMICONDUCTOR PATENTING
KUALA LUMPUR, Sept 2 (Bernama) -- Anaqua has unveiled key findings from its 2026 Semiconductor Industry Patent Report: AI & Innovation Trends report, revealing a market undergoing structural transformation, driven significantly by the demands of artificial intelligence (AI).
The report, an analysis of global semiconductor patent activity, found that while overall semiconductor patenting grew 78 per cent over the last five years, patents at the intersection of AI and semiconductors grew 114 per cent, nearly 40 per cent faster.
Anaqua, in a statement, said AI is increasingly defining semiconductor innovation at every level of the technology stack, across chip architecture, graphics processing units (GPUs), inference processors and custom accelerators for hyperscalers.
Using Anaqua’s AcclaimIP patent analytics platform to analyse more than 700,000 semiconductor patent filings, the report shows AI’s influence on nearly every layer of chip innovation. The data was accessed between May and June 2026.
According to the report, a closer examination of key semiconductor subcategories across the AI landscape shows that AI is driving an outsized impact on the chip market and has become a primary force behind semiconductor research and development (R&D) investment and patent filings.
The report also found that NVIDIA’s patent footprint may appear smaller relative to its market dominance because its competitive advantage lies outside hardware. NVIDIA holds 49 GPU-titled semiconductor patents, ranking seventh, and ranks 15th in inference chips.
IBM tops AI-semiconductor crossover filings with 794 and analogue AI with 389, with a footprint concentrated in frontier technologies, including quantum computing, neuromorphic chips and phase-change memory that encodes neural-network weights directly onto the chip.
China dominates AI inference patenting by a significant margin and is rising rapidly in GPUs. Chinese government-affiliated entities lead inference and accelerator filings with 5,387 over five years, far ahead of Samsung’s 1,897, spanning universities, national laboratories and state research institutes.
The report also found that hyperscalers have become silicon designers. Alphabet/Google’s tensor processing unit (TPU) and Microsoft’s Maia accelerator-related patenting appear across nearly every AI-and-semiconductor patenting intersection, reflecting a shift towards cloud giants designing custom chips for their own workloads rather than buying off the shelf.
-- BERNAMA
The report, an analysis of global semiconductor patent activity, found that while overall semiconductor patenting grew 78 per cent over the last five years, patents at the intersection of AI and semiconductors grew 114 per cent, nearly 40 per cent faster.
Anaqua, in a statement, said AI is increasingly defining semiconductor innovation at every level of the technology stack, across chip architecture, graphics processing units (GPUs), inference processors and custom accelerators for hyperscalers.
Using Anaqua’s AcclaimIP patent analytics platform to analyse more than 700,000 semiconductor patent filings, the report shows AI’s influence on nearly every layer of chip innovation. The data was accessed between May and June 2026.
According to the report, a closer examination of key semiconductor subcategories across the AI landscape shows that AI is driving an outsized impact on the chip market and has become a primary force behind semiconductor research and development (R&D) investment and patent filings.
The report also found that NVIDIA’s patent footprint may appear smaller relative to its market dominance because its competitive advantage lies outside hardware. NVIDIA holds 49 GPU-titled semiconductor patents, ranking seventh, and ranks 15th in inference chips.
IBM tops AI-semiconductor crossover filings with 794 and analogue AI with 389, with a footprint concentrated in frontier technologies, including quantum computing, neuromorphic chips and phase-change memory that encodes neural-network weights directly onto the chip.
China dominates AI inference patenting by a significant margin and is rising rapidly in GPUs. Chinese government-affiliated entities lead inference and accelerator filings with 5,387 over five years, far ahead of Samsung’s 1,897, spanning universities, national laboratories and state research institutes.
The report also found that hyperscalers have become silicon designers. Alphabet/Google’s tensor processing unit (TPU) and Microsoft’s Maia accelerator-related patenting appear across nearly every AI-and-semiconductor patenting intersection, reflecting a shift towards cloud giants designing custom chips for their own workloads rather than buying off the shelf.
-- BERNAMA
Friday, 28 August 2026
Thailand Puts Productivity at the Center of AI Transformation with National AI Roadmap
The APO-supported roadmap positions AI as a practical productivity tool to raise output, strengthen worker capability, improve resource efficiency, and accelerate sustainable industrial upgrading
BANGKOK, Aug 28 (Bernama-GLOBE NEWSWIRE) -- Thailand today marked the official handover and dissemination of the National AI Roadmap for the Sustainable Productivity of Industries in Thailand, placing productivity rather than technology adoption itself at the center of the country's AI transformation agenda.
The milestone took place during the Thailand Productivity Forum 2026: “Twin Transformation – AI × Productivity × Net Zero,” held in conjunction with the 1st AI Productivity Collaboration Consortium. The central message was clear: AI should be judged by the measurable value it creates for firms, workers, public services, and the wider economy.
The economic case is compelling. The APO Productivity Database 2025 reports that Thai labor-productivity growth averaged 2.1% during 2015–2023, down from 4.8% during 2010–2015, while total factor productivity averaged zero growth. As population aging constrains labor-force expansion, Thailand will increasingly need to create more value from each hour worked and each unit of capital.
“AI is not the objective. Productivity is.”
— Dr. Indra Pradana Singawinata, Secretary-General, Asian Productivity Organization
For the APO, the test is not how many AI tools are purchased, pilots launched, or people trained. It is whether AI raises output per hour, reduces downtime and defects, improves quality and asset utilization, lowers energy and material intensity, accelerates innovation, and strengthens the productive capability of workers.
Deputy Permanent Secretary of the Ministry of Industry Duangdow Khawjaroen reinforced the same productivity-first framing, linking digital transformation and green transformation through AI × Productivity × Net Zero. In her prepared remarks, she said: “Productivity represents the tangible outcomes of doing things better using fewer resources, reducing costs and waste, and creating greater value.” She also stressed that “good AI begins with good data,” highlighting the ministry's i-Industry and i-SingleForm systems and practical applications such as predictive maintenance, energy-efficiency optimization, supply-chain analysis, real-time quality inspection, greenhouse-gas assessment, and executive decision support.
Prepared collaboratively by the Thailand Productivity Institute (FTPI) and APO with the technical support of FutureLab, the roadmap is grounded in 23 in-depth stakeholder interviews, a strategy workshop, and practical AI training. Importantly, its quantitative items are presented as recommended goals for the Ministry of Industry: a 15% productivity increase across specified MIND priority sectors by 2030; at least 60% AI adoption among large enterprises and 40% among SMEs in key sectors; at least 80 targeted AI pilot projects across priority sectors, with 30% scaled into full production; and certification of at least 50,000 industrial workers and 5,000 AI specialists by 2030.
Thailand already has a powerful proof point. In 2025, the World Economic Forum (WEF) added Midea's Si Racha facility to its Global Lighthouse Network after the plant deployed 72 digital and AI solutions. WEF-reported outcomes included a 43% reduction in order lead time, a 32% decline in customer complaints, and a 62% improvement in employee qualification speed, evidence of what becomes possible when AI is integrated with process redesign, workforce development, and operational discipline.
The next challenge is diffusion. In the 2024 ETDA–NSTDA AI Readiness study, 580 organizations responded; 17.8% reported already using AI, while 73.3% planned future adoption. The productivity opportunity lies in moving enterprises from intention to economically valuable deployment through use-case selection, data readiness, workflow redesign, worker adoption, integration, scaling, and measurement.
Aligned with the APO Vision 2030 and Thailand's Strategic Partnership Program, the roadmap provides a platform for moving from project-based AI adoption toward a result-oriented productivity transformation system. The next test will not be how many AI initiatives Thailand launches, but how widely AI helps enterprises, especially SMEs, to create more value, build stronger capabilities, and compete sustainably.
The defining question is no longer whether Thailand will use AI. It is how effectively Thailand can turn AI into productivity improvements that are measurable, scalable, sustainable, and broadly shared.
About the APO
The APO is a regional intergovernmental organization dedicated to improving productivity in the Asia-Pacific region through mutual cooperation. Established in 1961, the APO supports its member economies through policy advisory services, capacity building, and knowledge sharing to promote sustainable socioeconomic development.
Contact: pr@apo-tokyo.org
Website: https://www.apo-tokyo.org
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/6b413fac-4b0d-4112-8e60-68df791a3bba.
SOURCE: Asian Productivity Organization
BANGKOK, Aug 28 (Bernama-GLOBE NEWSWIRE) -- Thailand today marked the official handover and dissemination of the National AI Roadmap for the Sustainable Productivity of Industries in Thailand, placing productivity rather than technology adoption itself at the center of the country's AI transformation agenda.
The milestone took place during the Thailand Productivity Forum 2026: “Twin Transformation – AI × Productivity × Net Zero,” held in conjunction with the 1st AI Productivity Collaboration Consortium. The central message was clear: AI should be judged by the measurable value it creates for firms, workers, public services, and the wider economy.
The economic case is compelling. The APO Productivity Database 2025 reports that Thai labor-productivity growth averaged 2.1% during 2015–2023, down from 4.8% during 2010–2015, while total factor productivity averaged zero growth. As population aging constrains labor-force expansion, Thailand will increasingly need to create more value from each hour worked and each unit of capital.
“AI is not the objective. Productivity is.”
— Dr. Indra Pradana Singawinata, Secretary-General, Asian Productivity Organization
For the APO, the test is not how many AI tools are purchased, pilots launched, or people trained. It is whether AI raises output per hour, reduces downtime and defects, improves quality and asset utilization, lowers energy and material intensity, accelerates innovation, and strengthens the productive capability of workers.
Deputy Permanent Secretary of the Ministry of Industry Duangdow Khawjaroen reinforced the same productivity-first framing, linking digital transformation and green transformation through AI × Productivity × Net Zero. In her prepared remarks, she said: “Productivity represents the tangible outcomes of doing things better using fewer resources, reducing costs and waste, and creating greater value.” She also stressed that “good AI begins with good data,” highlighting the ministry's i-Industry and i-SingleForm systems and practical applications such as predictive maintenance, energy-efficiency optimization, supply-chain analysis, real-time quality inspection, greenhouse-gas assessment, and executive decision support.
Prepared collaboratively by the Thailand Productivity Institute (FTPI) and APO with the technical support of FutureLab, the roadmap is grounded in 23 in-depth stakeholder interviews, a strategy workshop, and practical AI training. Importantly, its quantitative items are presented as recommended goals for the Ministry of Industry: a 15% productivity increase across specified MIND priority sectors by 2030; at least 60% AI adoption among large enterprises and 40% among SMEs in key sectors; at least 80 targeted AI pilot projects across priority sectors, with 30% scaled into full production; and certification of at least 50,000 industrial workers and 5,000 AI specialists by 2030.
Thailand already has a powerful proof point. In 2025, the World Economic Forum (WEF) added Midea's Si Racha facility to its Global Lighthouse Network after the plant deployed 72 digital and AI solutions. WEF-reported outcomes included a 43% reduction in order lead time, a 32% decline in customer complaints, and a 62% improvement in employee qualification speed, evidence of what becomes possible when AI is integrated with process redesign, workforce development, and operational discipline.
The next challenge is diffusion. In the 2024 ETDA–NSTDA AI Readiness study, 580 organizations responded; 17.8% reported already using AI, while 73.3% planned future adoption. The productivity opportunity lies in moving enterprises from intention to economically valuable deployment through use-case selection, data readiness, workflow redesign, worker adoption, integration, scaling, and measurement.
Aligned with the APO Vision 2030 and Thailand's Strategic Partnership Program, the roadmap provides a platform for moving from project-based AI adoption toward a result-oriented productivity transformation system. The next test will not be how many AI initiatives Thailand launches, but how widely AI helps enterprises, especially SMEs, to create more value, build stronger capabilities, and compete sustainably.
The defining question is no longer whether Thailand will use AI. It is how effectively Thailand can turn AI into productivity improvements that are measurable, scalable, sustainable, and broadly shared.
About the APO
The APO is a regional intergovernmental organization dedicated to improving productivity in the Asia-Pacific region through mutual cooperation. Established in 1961, the APO supports its member economies through policy advisory services, capacity building, and knowledge sharing to promote sustainable socioeconomic development.
Contact: pr@apo-tokyo.org
Website: https://www.apo-tokyo.org
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/6b413fac-4b0d-4112-8e60-68df791a3bba.
SOURCE: Asian Productivity Organization
Sapient Intelligence Launches PRAXIST (Beta) to Accelerate a New Era of Autonomous AI-led Research and Development
- 49 gold-medal outcomes across 75 machine learning competitions from MLE-Bench achieving approximately US$3,000, versus 34 for Claude Code at US$38,000
- Rocket-landing accuracy reached 100% within 12 hours, demonstrating a proof-of-concept capability at Technology Readiness Level (TRL) 3
SINGAPORE, Aug 28 (Bernama-BUSINESS WIRE) -- Singapore-headquartered artificial general intelligence research company Sapient Intelligence today announced the launch of PRAXIST (Beta), an autonomous AI research and development (R&D) system that takes on complex technical problems and independently tests and validates potential solutions.
While AI has rapidly accelerated productivity in content generation and other well-defined workflows, R&D remains inherently difficult to automate and scale. Breakthroughs require testing multiple hypotheses, learning from successes and failures, and continuously determining which paths to pursue. Organizations must address this all while balancing specialist expertise, time, cost, and infrastructure.
A capacity multiplier
PRAXIST addresses this challenge as an R&D capacity multiplier. Rather than executing a predefined path, it independently explores which technical approach can best achieve a measurable objective. Users define the goal, parameters, and budget; PRAXIST then autonomously experiments and evaluates the strongest solution.
The approach has demonstrated promising results in controlled internal evaluations. On 75 challenging Kaggle competitions from MLE-Bench, a benchmark designed to test how well AI systems tackle complex, real-world machine learning problems across, PRAXIST achieved the highest-level result in 49 competitions at an approximate recorded model cost of US$3,000, compared with 34 highest-level results for Claude Code at approximately US$38,000 under the same evaluation conditions.
“Unlike general coding agents, which are built primarily to execute a specific task, PRAXIST is designed for long-horizon R&D, where the problem-solving approach itself may need to be discovered and adapted,” says William Chen, Co-Founder at Sapient Intelligence. “A conventional research team is ultimately constrained by the number of experiments its researchers can realistically run and evaluate. PRAXIST is designed to provide organizations with the ability to augment their existing teams with additional research capacity, enabling them to explore problems with a breadth and speed that would otherwise require significantly greater specialist resources.”
From autonomous research to cumulative scientific discovery
PRAXIST deploys multiple autonomous research peers to explore approaches in parallel, test hypotheses, investigate failures, and validate promising results. Unlike the tree-like search used by other similar systems, where each candidate inherits from one parent and weaker branches are pruned, PRAXIST uses a generation-layered research graph that preserves what every experiment teaches. This allows later generations to combine valuable mechanisms, evidence, and constraints across different lineages, including failed attempts. Rather than searching for the single best branch, PRAXIST constructs stronger solutions from discoveries made across branches.
Expansion and scale at speed
For organizations with limited AI or machine learning capabilities, PRAXIST can provide an AI research layer alongside existing domain expertise; for sophisticated teams, it can augment existing capabilities and increase the scale and breadth of R&D. A traditional robotics company, for example, can define problems, objectives, and constraints from an engineering perspective while PRAXIST conducts the AI research, experimentation, and validation needed to develop solutions, effectively serving as an in-house AI research team without requiring the company to build one.
Partner engineering results further illustrate this potential. In a partner-provided rocket-landing simulation, PRAXIST improved baseline to 100% within 12 hours, demonstrating a proof-of-concept capability at Technology Readiness Level (TRL) 3. In an industrial robotic SLAM problem, a partner team achieved 9.37cm of accumulated error after several months of development. PRAXIST reduced the error to 5.01cm within three days.
System application
PRAXIST can operate with proprietary data in private or customer-controlled environments, giving organizations greater control over their research infrastructure and sensitive intellectual property.
Initial applications are focused on sectors with intensive R&D requirements or highly measurable or simulatable optimization problems, including AI, engineering and robotics, manufacturing, finance, and health and drug discovery. Over time, Sapient Intelligence aims to extend PRAXIST beyond traditional R&D into broader business optimization, from inventory and sales to logistics and shipping.
“AI has mastered executing what we know. The next frontier is discovering what we don’t,” said Jin Li, Chief Scientist of PRAXIST. “PRAXIST is our first step toward making autonomous discovery a practical capability for organizations tackling complex problems. As we continue to develop the platform, we will look to expand beyond traditional R&D. Our ambition is to give organizations a fundamentally greater capacity to explore what is possible, enabling existing teams to pursue more experiments, approaches, and innovations while keeping human expertise and judgment at the center.”
About Sapient Intelligence
Founded and headquartered in Singapore, Sapient Intelligence is developing a new generation of AI systems that move beyond answering questions and executing predefined tasks to autonomously discover, reason, and optimize across complex problems without predefined solutions. By combining autonomous research systems with novel foundation-model architectures, Sapient Intelligence advances autonomous discovery through deeper reasoning, self-evolving capabilities, greater adaptability, and enhanced interpretability.
At the center of this vision is PRAXIST, the company’s flagship autoresearch system enabling breakthroughs in real-world R&D and business challenges. Sapient is also the creator of the Hierarchical Reasoning Model (HRM), a novel, brain-inspired foundation model architecture designed to enable deep reasoning with substantially greater training efficiency.
With a global team of more than 50 researchers and engineers operating across Singapore, Palo Alto, and Beijing, Sapient brings together experience from leading AI organizations and research institutions. The company connects foundational AI research with demanding applications in finance, healthcare, manufacturing, and logistics, developing original AI systems for enterprises, researchers, and institutions worldwide.
Learn more about PRAXIST here.
View source version on businesswire.com:
https://www.businesswire.com/news/home/20260827080331/en/
Contact
The Hoffman Agency on behalf of Sapient Intelligence
Sapient@hoffman.com
Source : Sapient Intelligence
--BERNAMA
Thursday, 27 August 2026
ARC’TERYX INTRODUCES SYSTEM 0 CIRCULAR DESIGN FRAMEWORK
 |
| Arc’teryx athlete, Craig Murray, wearing the Sperro SV, a multisport mountain-grade hardshell built with circular design principles, available September 4, 2026. |
KUALA LUMPUR, Aug 27 (Bernama) -- Arc’teryx Equipment, a global designer of technical high-performance apparel and equipment, has introduced System 0, a new framework designed to embed circularity across the product lifecycle, from design and manufacturing through use, repair and end-of-life regeneration.
The first product under the framework is the Sperro SV jacket, a mountain-grade hardshell designed for durability, repairability and disassembly for recycling at end of life. The jacket uses GORE-TEX Pro fabric with an ePE membrane, while its nylon face fabric and backer were separately designed for recyclability in partnership with Aquafil, the manufacturer of ECONYL regenerated nylon.
Available globally from Sept 4 through Arc’teryx stores and its website, the Sperro SV is positioned as the brand’s most advanced hardshell jacket and is intended to demonstrate that circular design can be integrated into technical apparel without compromising performance.
“System 0 represents a fundamental shift in how we build and scale our business with circularity front of mind. For decades, Arc’teryx has built gear that is meant to be repaired, not replaced. This is the next step forward,” said Arc’teryx Chief Executive Officer, Stuart Haselden in a statement.
The Sperro SV is the first product certified under TESTEX Circularity, a standard Arc’teryx said it co-developed to address gaps in existing circular product standards. The certification evaluates the jacket’s durability, repairability and ability to undergo chemical recycling.
System 0 builds on Arc’teryx’s existing ReBIRD ecosystem of washing, repair, trade-in, resale and upcycling initiatives. The company said the new framework extends these principles across design, sourcing, manufacturing, customer experience, repair and end-of-life recovery as part of an effort to make circularity a scalable operating model.
The Sperro SV has been tested by alpine professionals, including Vancouver’s North Shore Rescue. It features reinforcement at common failure points, including an easily replaceable zipper slider, and comes with three years of unlimited out-of-warranty repairs through ReBIRD.
When the jacket is no longer repairable, its fabric can undergo chemical recycling to separate the nylon from the GORE-TEX membrane. The nylon is then returned to Aquafil to be regenerated into ECONYL yarn for new products.
-- BERNAMA
Subscribe to:
Posts (Atom)