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Ambient Scientific’s Edge AI Processor goes into volume production

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Company’s First AI Processor GPX-10 with 10 AI Cores will be commercially available for on-device battery powered AI applications starting Q1 2024

SANTA CLARA, Calif., Jan. 4, 2024 /PRNewswire/ — Ambient Scientific, The AI Processor Company, announced today that its first AI SoC – GPX10 – designed to run cloud-free AI applications on portable battery-powered devices has gone into volume production. GPX-10 is manufactured at TSMC using 40 nm technology. The product has a complete development platform to enable On-Device/IoT AI Applications, that includes a Software Development Kit with Neural Network Compiler. The Evaluation kit is available for commercial purchase starting Q1 2024.

 

Created using breakthrough DigAn® technology, GPX10 utilizes a combination of high-speed digital and analog circuit technologies to enable best-in-class AI throughput at the lowest power consumption for unrivalled efficiency. GPX10 provides unparalleled benefits for edge AI such as:

Performance Efficiency >8 TOPS/W for on-device AI applications at 40nm (compared to lower efficiency from competitors at deeper process nodes)

<100 µW of for always-on sensor fusion applications to run on coin cell batteries

Compact form factor – smaller than a fingernail for tiny portable devices

Enhanced privacy & security – due to limited data transfer over internet

WATCH HOW AMBIENT SCIENTIFIC IS REVOLUTIONIZING EDGE AI

GPX10 is also completely programmable and combined with Ambient Scientific’s in-house software toolchain including an AI compiler, development libraries, training toolkit and more, will enable on-device battery powered applications across application verticals (sensor fusion, audio, and vision) and across multiple industries such as automotive, healthcare, consumer wearables and industrials.

“We’re excited to be already partnering with customers to deliver AI applications powered by GPX-10, that includes a driver monitoring system, ECG wearables and always-on voice-based distress systems.” – said Satish Kutty M, Head of Strategy and Business Development at Ambient Scientific. The team at Ambient Scientific is eager to discover how the industry develops innovative and useful products over time, using its edge AI development platform with GPX-10 AI processor.

AI has traditionally been relegated to the confines of expensive cloud computing, limiting accessibility for the masses. Ambient Scientific is on a mission to correct the trend and democratize sustainable AI for all. “To bring the power of AI to the edge, we needed to free it from the shackles of the cloud and internet which requires a complete rethinking of conventional computing architecture”, said GP Singh, founder and CEO of Ambient Scientific.

The team achieved this nearly impossible feat by innovating at every level from circuit technologies to a completely new Instruction Set Architecture (ISA) including:

DigAn® Matrix computer: A combination of high-speed digital and analog circuit technologies to achieve very high-performance matrix computing at very low power consumption3D memory with in-memory computing: A deep circuit innovation that assists the DigAn matrix computer in disbursement of large number of operands for matrix computer thereby allowing DigAn® matrix computer to achieve very high throughput using power efficientlyMulti-channel Ultra Low power Sensor ADC: Efficient sensor ADC that can connect to multiple analog sensors simultaneously for AI applications that require intelligent sensor functionsAlways-on Sensor Fusion DMA: A special functional architecture that allows extremely low power (microwatt) intelligent sensor AI applications on multiple sensors data fusion.

“We have leveraged a combination of digital and analog computing concepts to bring the best of both worlds tougher – scalability of digital and efficiency of analog. Our processors are manufactured and can be programmed like any digital chip while carrying power and area efficiency of analog.” – said GP Singh, Founder and CEO at Ambient Scientific.

Ambient’s MX8 AI core based on this technology, is hyper scalable – across any number of cores and down to any process nodes – to enable a robust roadmap of processors. These include GPX-1, a single core processor for integration with MEMs sensors to turn them “intelligent” all the way to GPX-64, a vision focused chip designed for high-speed video AI applications.

With its first product getting into volume production for market availability in Q1 2024, Ambient Scientific is executing on its plan to develop newer products to realize its mission of democratizing sustainable AI for the betterment of all human lives.

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About Ambient Scientific

Ambient Scientific is a fabless semiconductor company pioneering AI hardware and software design to create next-generation low-power processors for edge and on-device AI applications. With a team comprised of Ex-Sun Microsystems, Intel, Broadcom and Google professionals, Ambient Scientific is committed to bringing the power of AI to all through cutting edge hardware and software products. To learn more about its products, visit www.ambientscientific.ai and follow Ambient Scientific on LinkedIn.

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EPG Publishes Inaugural ESG Report, Establishing Baseline for Sustainable Global Expansion

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SINGAPORE, April 19, 2026 /PRNewswire/ — EPG today released its 2025 ESG Report, outlining its sustainability approach and performance across global operations as it scales internationally.

Environmental EPG achieved full compliance with applicable environmental regulations, with 100% of waste treated and disposed of. The company completed its inaugural greenhouse gas (GHG) inventory, encompassing Scope 1, Scope 2, and key Scope 3 categories, establishing the foundation for its emissions management strategy and long-term decarbonization roadmap.

Social Female represented 31% of total employees, and 85% of employees recruited locally in Malaysia hold managerial positions. EPG maintained a diversified supply chain, with approximately 47% of suppliers based outside of mainland China.

Governance As of the date of this press release, the EPG Board of Directors includes two female directors, representing 22% of board members. The Board convened two meetings with 100% attendance.

As EPG matures its ESG framework, the company is forming a dedicated ESG Committee to oversee this progress. ESG management systems will be embedded into existing and planned facilities, starting with its Malaysia manufacturing plant currently under construction. EPG will also extend these standards through its supply chain at its upcoming Shanghai partner conference.

“Scaling globally only means something if we scale responsibly,” said Alick Wan, EPG Founder and Chairman. “We see an opportunity to redefine what sustainable infrastructure looks like for the AI era — proving that high performing infrastructure can also carry light footprint. We believe modular is how the industry gets there.”

EPG is proud to have contributed to the book Greener Data, Volume III, launching on Earth Day 2026. The chapter shared EPG’s philosophy on how modular construction reduces on-site waste, lowers embodied carbon, and enables full lifecycle sustainability, making the case that responsible scaling and commercial ambition are not in conflict.

Following approximately $200 million in Series B and B+ financing, EPG will keep strengthening company-wide ESG governance and scale its modular approach across an expanding international footprint.

Read the full report: https://www.epg-module.com/list-27-1.html

Contact: communications@epg-module.com

About EPG

EPG is a Singapore-headquartered provider of modular and prefabricated data center infrastructure, powered by dual R&D centers in Singapore and Shanghai and advanced manufacturing hubs in Malaysia and China. With over 20 years of engineering expertise, EPG delivers innovative and sustainable solutions for hyperscale, cloud, and enterprise deployments across APAC, EMEA, and other global markets.

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SOURCE EPG Singapore Pte Ltd

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Simpli5 Announces Platform Expansion Designed to Close the Gap Between Self-Awareness and Team Action

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Behavioral intelligence leader addresses the knowing-doing problem that leaves most assessment investments unrealized

AUSTIN, Texas, April 19, 2026 /PRNewswire/ — Simpli5, the behavioral intelligence platform that powers team effectiveness at organizations including LinkedIn, Kaiser Permanente, and Notion, today announced a significant expansion of its platform aimed at solving one of the most persistent challenges in enterprise learning and development: the knowing-doing gap.

While behavioral assessments have proliferated across the Fortune 500, the vast majority of users never return to their insights after initial onboarding — leaving significant organizational investment unrealized. The upcoming Simpli5 release is engineered specifically to close that gap, translating one-time self-awareness into an ongoing team practice embedded in the flow of daily work.

“Self-awareness that lives in a report is just data. Self-awareness that lives in your daily relationships is transformation,” said Karen Wright Gordon, Founder and CEO of Simpli5. “We built this because we knew the highest-value moments in our platform were sitting unused for too many users. These features are about closing that gap without adding friction.”

The expansion introduces a suite of interconnected capabilities designed to keep behavioral insights present in the flow of daily work — accessible at the moments that matter most, and creating reinforcing loops that grow in value as organizational adoption scales.

Unlike point-in-time assessments, Simpli5 is engineered to compound in value over time. Each connection made, each insight applied, and each colleague activated increases the network intelligence available to every user on the platform. The upcoming release is designed to accelerate that compounding effect.

Full feature details and availability will be announced in the coming weeks.

About Simpli5

Simpli5 powered by 5 Dynamics is a behavioral intelligence platform built on the science of five natural work energy phases: Explore, Excite, Examine, Execute, and Evaluate. Unlike static assessment tools, Simpli5 is a living team intelligence platform that deepens in value as adoption scales across an organization. Its AI coaching product, SenSai, delivers personalized behavioral insights at the moment of need.

For more information, visit simpli5.com.

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SK hynix Begins Mass Production of 192GB SOCAMM2 ‘Setting a New Standard for AI Server Memory Performance’

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–     Mass production of 192GB high capacity products designed for the NVIDIA Vera Rubin platform
–     Maximizes power efficiency by featuring high density DRAM based on the latest 1cnm process
–     Company to closely collaborate with NVIDIA to solve bottlenecks in AI infrastructure and provide optimal performance

SEOUL, South Korea, April 19, 2026 /PRNewswire/ — SK hynix Inc. (or “the company”, www.skhynix.com) announced today that it has begun mass production of the 192GB SOCAMM2, a next-generation memory module standard based on the 1cnm process (sixth-generation of the 10-nanometer technology) LPDDR5X low-power DRAM.

SOCAMM2[1] is a module that adapts low-power memory – which was previously used mainly in mobile products like smartphones – for server environments. It is designed to be a primary memory solution for next-generation AI servers.

[1]SOCAMM2 (Small Outline Compression Attached Memory Module 2): An AI server–optimized memory module based on LPDDR. It offers a slim form factor and high scalability, while its compression connector enhances signal integrity and allows for easy module replacement

SK hynix emphasized that the 1cnm based SOCAMM2 product that is now in mass production delivers more than double the bandwidth with over 75% improved power efficiency compared to conventional RDIMM[2], providing an optimized solution for high performance AI operations.

[2]RDIMM (Registered Dual In-Line Memory Module): DRAM module for server/workstation that includes a register or buffer chip to relay address and command signals between the memory controller and DRAM chip in a memory module

In particular, the company noted that its SOCAMM2 products are designed for NVIDIA Vera Rubin platform.

SK hynix expects the new SOCAMM2 product will fundamentally resolve the memory bottlenecks encountered during the training and inference of large language model (LLM) with hundreds of billions of parameters, thereby playing a pivotal role in dramatically accelerating the processing speed of the overall system.

The company stated that with the AI market shifting focus from inference to training, SOCAMM2 is gaining significant attention as a next-generation memory solution capable of operating LLMs with low power consumption. To meet the demands of its global Cloud Service Provider (CSP) customers, SK hynix has not only been providing a supply portfolio, but also stabilized its mass production system early on.

“By supplying the 192GB SOCAMM2, SK hynix has established a new standard for AI memory performance,” Justin Kim, President & Head of AI Infra (CMO, Chief Marketing Officer) at SK hynix said. “We will solidify our position as the most trusted AI memory solution provider, through close collaboration with our global AI customers.”

About SK hynix Inc.

SK hynix Inc., headquartered in Korea, is the world’s top-tier semiconductor supplier offering Dynamic Random Access Memory chips (“DRAM”) and flash memory chips (“NAND flash”) for a wide range of distinguished customers globally. The Company’s shares are traded on the Korea Exchange, and the Global Depository shares are listed on the Luxembourg Stock Exchange. Further information about SK hynix is available at www.skhynix.com, news.skhynix.com.

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SOURCE SK hynix Inc.

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