• Stellantis introduces the first-of-its-kind virtual cockpit as a key component of the Stellantis Virtual Engineering Workbench (VEW)

• Industry-first innovation accelerates Stellantis development cycles up to 100 times, speeding up delivery of infotainment tech to customers

• BlackBerry QNX announces early access launch of QNX Hypervisor in the cloud on AWS Marketplace for mixed criticality and multi-OS embedded application development

Stellantis N.V. led the creation of the world’s first virtual cockpit platform as part of its Stellantis Virtual Engineering Workbench (VEW) enabling the delivery of infotainment tech to customers 100 times faster than previous processes. The new platform uses the QNX Hypervisor in the cloud from BlackBerry, which is now on early access release via AWS Marketplace within the QNX Accelerate portfolio of cloud-based tools. Stellantis can now create realistic virtual versions of car controls and systems, making them behave just like they would in a real car, but without needing to change the main software that runs them, taking what used to take months to be achieved down to 24 hours in some cases.

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Accessing QNX Hypervisor via AWS Marketplace enables Stellantis to include a virtual cockpit high-performance computing (HPC) simulation into a cloud environment. This industry-first platform for mixed-criticality and multi-OS embedded application development includes QNX Hypervisor Amazon Machine Images (AMIs) and industry-standard hardware interfaces as defined in the VirtIO standard Trout v1.2. With tools such as virtualization of graphics, audio, and touchscreen/mouse/keyboard inputs, the solution offers little to no difference between running QNX Hypervisor-based systems in the cloud versus on real hardware.

Software is a key building block for Stellantis to deliver clean, safe and affordable mobility, as outlined in the Dare Forward 2030 strategic plan, and the driving force behind the AI-powered STLA Brain, STLA SmartCockpit and STLA AutoDrive technology platforms. In 2022, Stellantis selected AWS as its preferred cloud provider for vehicle platforms and the companies began work on Stellantis’ purpose-built, in-house VEW.

Taking a software-driven approach and deploying the QNX Hypervisor in the cloud, Stellantis can accelerate customer feedback sessions, and with minimal effort, replicate the cockpit experience of a particular brand and vehicle, and make changes in real time to optimize the experience for the driver. This real-time feedback, underpinned by low-latency access to the cloud, allows Stellantis to solicit valuable feedback from its customer and developer base to build future infotainment features and applications.

“Software is becoming increasingly crucial in vehicles, leading us to innovate in how we develop and validate it,” said Yves Bonnefont, Chief Software Officer at Stellantis. “With our virtual cockpit, we’re revolutionizing not just our approach, but also that of our suppliers and partners in the industry. Essentially, we’re able to get closer to our customer’s needs through this technology with faster development cycles, faster feedback loops, and quicker delivery of the technology they use and love. It’s a leap towards customer-first innovation and efficiency in the automotive world.”

“We’re delighted to introduce early access availability of our trusted QNX Hypervisor platform in the cloud, leveraging the vendor and platform-neutral VirtIO standard that QNX has long-supported for its importance in creating a true-to-life virtual development environment for embedded software,” said Mattias Eriksson, President, BlackBerry IoT. “Working with Stellantis to launch the world’s first commercial hypervisor in the AWS cloud helps to reduce complexity, accelerate innovation and cut costs on in-car software development throughout the entire product lifecycle.”

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“Software virtualization and abstraction in the cloud is vital to accelerating development and maintaining feature delivery on-pace with consumer demand,” said Wendy Bauer, Vice President and General Manager, Automotive and Manufacturing, AWS. “With BlackBerry’s QNX Hypervisor on AWS Marketplace, Stellantis can easily harness the power of the cloud to reimagine research and development processes, architect more insightful ways to solicit and integrate feedback, and deliver functions faster than before that delight drivers and further the industry.”

Standard VirtIO interfaces are also used by a suite of automotive partners to scale their offerings across OEMs and enable plug-and-play across the OEM landscape. Recognizing the benefits, AWS fully supports the VirtIO industry standard for cloud simulation of cockpit HPCs.

BlackBerry QNX launched QNX Accelerate in January 2023 with its portfolio initially featuring QNX Neutrino RTOS 7.1 and the QNX OS for Safety 2.2.3, each provided as Amazon Machine Images allowing QNX customers to run a QNX OS natively on AWS cloud hardware. The early access release of QNX Hypervisor in the cloud is available now and general availability will be announced later in 2024.

BlackBerry provides intelligent security software and services to enterprises and governments around the world.  The company secures more than 500M endpoints including over 235M vehicles.  Based in Waterloo, Ontario, the company leverages AI and machine learning to deliver innovative solutions in the areas of cybersecurity, safety, and data privacy solutions, and is a leader in the areas of endpoint management, endpoint security, encryption, and embedded systems.

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[To share your insights with us, please write to sghosh@martechseries.com]

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Rajant Corporation, the pioneer of Kinetic Mesh wireless networks, along with Rajant Health Incorporated (RHI), a division of Rajant that is developing cutting-edge technology to provide health insights on-demand, will unveil its new edge AI platform during the Consumer Electronics Show (CES) in Las Vegas Venetian Meeting Center in Room Zeno 4610 on January 9^th – 12^th. Known as the Cowbell, the edge AI platform is a distributed computing hub and platform-as-a-service to streamline and simplify the delivery and management of AI applications at the edge.

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According to Muthu Chandrasekaran, Ph.D. RHI VP of Artificial Intelligence, “There has been explosive growth in the number of connected devices in recent years, and without edge computing, the amount of data generated from these devices would severely overwhelm and adversely impact most of today’s enterprise networks. Furthermore, the inflated costs and latencies introduced by the cloud render cloud-hosted AI-based low-latency decision support systems almost impossible, not to mention that the productization of AI and its maintenance is very difficult and complex. The Cowbell platform simplifies this complex problem by providing software, hardware, and networking infrastructure necessary to bring distributed cloud native computing to the edge with what we’re calling MLOps-in-a-Box. By leveraging Rajant’s patented InstaMesh networking technology, the Cowbell platform facilitates a secure, fault-tolerant, highly available distributed computing cluster over mesh, the first of its kind. Scaling the cluster is automatic when additional Cowbells are added to the deployment.”

Those visiting Rajant at CES will also be introduced to Q-Stat, a cutting-edge wearable device created to transform your work experience. The Q-stat’s flexible design strategy allows for all types of different packaging, intended to serve various markets, from people to animals. Packed with advanced sensors, including skin temperature, O₂, pulse rate and EKG, along with integrated Wi-Fi and BLE in a sleek, compact design, the Q-stat offers a seamless and enriching experience that caters to your safety and wellness needs.

Rajant Health EVP Giana Schena, Ph.D. shares, “RHI will offer demonstrations of Trovomics, a user-friendly platform designed to provide a fast, no-code solution for omics analysis, empowering researchers to easily and quickly turn their sequencing data into stunning, interactive visualizations. Trovomics has received outstanding feedback and results from academic researchers in biomedical science since its debut, and we are thrilled to bring the platform to CES to show individual users the power to investigate their own data.”

Robert Schena, CEO of Rajant and RHI, states, “What we have accomplished here is an ecosystem that includes the enterprise Edge (Cowbell), personal Edge (Q-Stat), and analytics (Trovomics). This ecosystem is called Angelverse because we at Rajant believe that people should own and control their own data locally, choosing where, when, and who they wish to share it with. This ecosystem fully integrates Rajant’s industry-leading Kinetic Mesh and the Reios IoT suite of solutions offered by Rajant Italia SRL.”

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Rajant EVP of Sales and Marketing Geoff Smith adds, “The Cowbell and Q-Stat unveiled at CES will be featured as fully integrated solutions with the Rajant Kinetic Mesh family of wireless networking BreadCrumb solutions and Kinetic Mesh-enabled Reios IoT platform, which provides comprehensive automated operational intelligence anywhere, which is fast and easy to deploy. Reios brings intelligent insights to all facets of an operation through various devices that support the platform’s different applications – Smart Lighting, sTrack, IoT BMS, sDesk, and Smart Picking.

More on Cowbell:

Housed in a rugged industrial-grade IP-rated enclosure, the Cowbell is a versatile platform perfect for indoor and outdoor use. It constitutes a powerful multi-core CPU and GPU with a plethora of wired (Serial, Ethernet) and wireless (Bluetooth, Wi-Fi, LoRa, Rajant Kinetic Mesh) connectivity interfaces and high-speed storage enabling ingestion, hardware-accelerated processing, and network-resilient transfer of multi-modal data from disparate sensors and peripherals. Applications deployed on the Cowbell can leverage the platform’s microservices-based software architecture and foundational services to serve custom machine learning models and facilitate dynamically configurable data pipelines. This state-of-the-art solution provides all the necessary data APIs to bring customers’ own (containerized or non-containerized) applications into the platform. It automates their deployment and orchestration to ensure availability. Rajant’s Kinetic Mesh ensures secure network transport and complete network isolation when needed. The Cowbell offers an integrated centralized cluster and applications management plane with a simple user interface, providing a seamless cluster provisioning, management, and application deployment experience. Secure remote access is enabled by a lightweight zero-trust VPN solution. Take advantage of the application-level logs, cluster- and node-level resource consumption metrics, and other dashboards for full observability of the health of the cluster and applications.

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[To share your insights with us, please write to sghosh@martechseries.com]

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• Next-generation IoT-as-a-service solutions allow businesses to define their model and cost structure during the design phase, providing unprecedented control and flexibility

• Telit Cinterion becomes the single focal point for support and service, eliminating the hassle of dealing with multiple vendors and boosting customer experience

Telit Cinterion, an end-to-end IoT solutions enabler, is set to unveil a pair of connected module packages at the upcoming CES 2024 in Las Vegas. Building upon the company’s 20-plus years in the IoT space, this groundbreaking offering seamlessly packages hardware modules, connectivity and management tools in one “as-a-service” product, freeing businesses to invest in growth rather than inventory and offering business-friendly OPEX commercial terms.

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“The NExT Connected Module embodies our commitment as an end-to-end IoT solutions enabler. This new generation of IoT-as-a-service is a valuable tool for IoT adopters as it delivers full IoT enablement where the hurdle of the capital investment for the module is financed by Telit Cinterion, allowing customers to figure the end-to-end solution as OPEX — rather than the complex CAPEX+OPEX model traditionally practiced in industry to date,” said Manish Watwani, Chief Marketing and Product Officer, Telit Cinterion. “As we stand at the forefront of transformative advancements in key verticals, innovative financing models like this one propel Telit Cinterion into the future of comprehensive, secure, and innovative solutions from design to deployment.”

The launch of this new generation of secure and connected module packages marks a significant advancement in IoT solution enablement. By integrating hardware modules, connectivity, and management tool options into a single unified offering, businesses can take advantage of seamless, comprehensive IoT solutions spanning design and deployment. By becoming the sole provider of the module — its financing, support, and services for the IoT project — Telit Cinterion simplifies the complex challenges associated with managing multiple mobile operators, hardware providers, certifications, cybersecurity challenges and connectivity. This streamlines the entire process and allows businesses to focus on their core differentiators, boosting overall deployment, and operational and cost efficiencies.

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Both the LPWA and LTE packages are available in different tiers, allowing businesses to select the level of service that best aligns with their specific needs. These tiers offer varying features and capabilities, providing unprecedented control and flexibility to customers globally.

Ideal for businesses with global IoT deployments in the telematics and tracking, buildings and security, retail and payment, and healthcare verticals, the NExT Connected Module offering solidifies Telit Cinterion’s status as a trusted partner and leader in the evolving IoT landscape.

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[To share your insights with us, please write to sghosh@martechseries.com]

The post Telit Cinterion Unveils Innovative Next Connected Module at CES Leveraging Two Decades of IoT Leadership appeared first on AiThority.

Pacesetting SoC Products for Automotive, Data Center, and Smart Devices in the Smart Cities, IoT and Sustainability Zone, North Hall,
Booth 9971

Socionext, an innovative custom SoCs provider with a distinctive “Solution SoC” business model, will showcase its leading-edge technologies and products at CES 2024, Jan. 9-12.

Socionext will be at booth 9971 in the Smart Cities, IoT, and Sustainability Zone in the North Hall of the Las Vegas Convention Center. Among Socionext’s featured technologies and solutions will be the following:

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Custom SoCs
With extensive experience in custom SoC development, Socionext established a distinctive Solution SoC business model that provides SoCs that are both customized and fully optimized to our customers’ needs. The company offers the optimal combination of IPs, design expertise, software development, and support to implement large-scale SoCs to meet the most demanding and rigorous performance requirements in automotive, data center, and smart device applications.

With the Solution SoC model, Socionext delivers products and support that enable applications in the automotive segment, such as ADAS sensors, central computing, networking, in-cabin monitoring, satellite connectivity, and infotainment. In the data center segment, they enable high-performance compute, storage and networking applications. In the consumer space, they allow a range of smart devices, from earbuds to smart speakers and smart glasses to AR/VR headsets.

Low Power 60GHz Radar Sensor Solutions
The automotive-grade SC1260 series 60GHz RF CMOS sensor, which was nominated for awards at the Sensors Converge Show in Santa Clara in June 2023, can support multiple in-cabin use cases, including seat occupancy monitoring, child presence detection, and theft prevention.

The SC1240 series RF sensor for consumer applications allows users to easily enable multiple–person detection, gesture detection, and other high-precision sensing.

Socionext’s highly-integrated CMOS radar transceivers incorporate antennae-in-package and an embedded signal processing unit for distance, angle, and presence detection in a small form factor package without requiring radio frequency or advanced signal processing design skills.

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Smart Display Controller for Automotive
The Socionext’s SC172x is a highly integrated, ASIL-B conformant graphics display controller featuring built-in mechanisms to ensure safety-critical content is delivered in compliance with the standards required by today’s automotive display applications.

SoCs for Smart Devices
Socionext’s Solution SoC model enables high-performance SoC for video applications that features a best-in-class image signal processor with built-in low-light support, coupled with an AI acceleration engine and a high level of system integration. Built using an advanced, low power manufacturing process, the 8K processor can be customized through silicon, packaging, and software suitable for a wide variety of applications.

Creating a proprietary chip requires a complex, highly structured framework with a complete support system to address each phase of the development process.

Socionext’s “Solution SoC” business model embodies the company’s deep understanding of SoC architectures and technologies – including IP, EDA tools, packaging, quality control and manufacturing – as well as its ecosystem of suppliers that lets customers develop feature-rich custom SoCs while maintaining ownership of key differentiating technologies that can deliver significant competitive advantage.

With extensive experience in custom SoC development, Socionext uses state-of-the-art process technologies to produce SoCs optimized for customer requirements.

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[To participate in our interview series, please write to us at sghosh@martechseries.com]

The post Socionext Will Display Its Advanced SoC Solutions, Sensors, Display Controller and Image Processor at CES 2024 appeared first on AiThority.

Sercomm Corporation a leading supplier of telecom and broadband equipment, announces its participation in CES 2024, the largest global consumer electronics event, to be held from January 9th to 12th in Las Vegas, USA. Led by Chairman James Wang and President Ben Lin, Sercomm will showcase solutions in three themes: ’10G Ultra-Broadband Generation,’ ‘Smart IoT,’ and ‘Immersive Entertainment Experiences.’

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The company seeks to engage global telecom service providers on its innovative solutions of next-generation smart home applications and broadband technology during CES 2024. Sercomm will host its exhibit at the Palazzo Hospitality Suite, featuring solutions designed to shape the future of telecommunications and connectivity.

Chairman James Wang said, “Sercomm always strives to provide our customers with high-value products and applications. Staying closely attuned to market trends, our three main themes of solutions in CES this year: ’10G Ultra-Broadband Generation,’ ‘Smart IoT,’ and ‘Immersive Entertainment Experiences’ will demonstrate how we create value for the entire industry and maintain our position as the preferred technology partner for telecom operators.”

At the heart of its exhibition, Sercomm will be unveiling its pioneering 10G products like XGS-PON, 5G FWA, and DOCSIS 4.0 gateways. These 10G ultra-high-speed networking solutions promise to significantly enhance the deployment efficiency of telecommunications operators, providing users with high-speed, stable, and ultra-low-latency wireless broadband experiences.

Sercomm will also be showcasing its IoT Solutions. Integrating Smart Home cloud monitoring, Sercomm’s solutions combine network cameras and sensors with AI edge computing. Ideal for access control, home monitoring, and construction security, it empowers system integrators to unlock more opportunities for cross-platform security solutions for its end uses.

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As the demand for immersive AR/VR entertainment experiences continues to grow, cloud gaming and 8k streaming will be putting more demand on bandwidth, ultra-low latency and speed. Sercomm’s exhibition at CES 2024 will highlight how its WiFi 7/Mesh routers bring the 10G entertainment experience home, realizing the full potential of 10G world.

Sercomm’s commitment to advancing 10G technology underscores its dedication to the development of telecommunications and connectivity. Visit the Palazzo Hospitality Suite to explore how Sercomm’s products facilitate the 10G vision.

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[To share your insights with us, please write to sghosh@martechseries.com]

The post Sercomm Unveils Cutting-Edge Innovations at CES 2024, Paving the Way for 10G Vision appeared first on AiThority.

M55M1 Microcontroller With Secure On-Device AI Capabilities for Embedded Applications

Nuvoton is pleased to announce its new Endpoint AI Platform to accelerate the development of fully-featured microcontroller (MCU) AI products. These solutions are enabled by Nuvoton’s powerful new MCU and MPU silicon, including the NuMicro® M55M1 equipped with Ethos U55 NPU, NuMicro® MA35D1, and NuMicro® M467 series. These MCUs are a valuable addition to the modern AI-centric computing toolkit and demonstrate how Nuvoton continues to work closely with Arm and other companies to develop a user-friendly and complete Endpoint AI Ecosystem.

Development on these platforms is made easy by Nuvoton’s NuEdgeWise: a well-rounded, simple-to-adopt tool for machine learning (ML) development, which is nonetheless suitable for cutting-edge tasks. Together, this powerful core hardware, combined with unique rich development tools, cements Nuvoton’s reputation as a leading microcontroller platform provider.

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These new single-chip-based platforms are ideal for applications including smart home appliances and security, smart city services, industry, agriculture, entertainment, environmental protection, education, highly accurate voice-control tasks, and sports, health, and fitness.

New ML-Focused Hardware With NPU: NuMicro M55M1

The NuMicro M55M1 series microcontroller is targeted at machine learning applications, aided by its Ethos-U55 NPU (Neural Processing Unit) and on-device AI features suitable for embedded applications. This MCU lets the system watch for events – based on image sensor, microphone, and sensors – while in low-power mode, without waking up the central processor. The M55M1 MCU includes an ML model protection mechanism that enhances security by safeguarding ML intellectual property against potential malicious hacking attempts. These are some of the first processors to support Arm Helium technology, which provides a significant performance boost for machine learning (ML) and digital signal processing (DSP) applications in small, low-power embedded systems.

Edge IIoT Gateway Solution: NuMicro MA35D1

The MA35D1 series is a heterogeneous multi-core microprocessor for high-end Edge IIoT Gateway, based on a dual-core 64-bit Arm Cortex-A35 core at 800 MHz and a 180 MHz Arm Cortex-M4. These high-performance cores facilitate Tiny AI/ML edge computing.

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The Versatile M467, With IoT Applications and Great Connectivity

The M467 series is a 32-bit microcontroller based on the Arm Cortex-M4F core with a built-in DSP instruction set and single precision floating point unit (FPU). It is ideal for a wide range of applications: smart home appliances, IoT gateways, industrial control, telecommunications, and data centers.

In IoT tasks, the M467 can be enhanced with a rich set of connectivity, I/O, and security peripherals, from Ethernet 10/100 MAC to hardware encryption, decryption, and key storage. With the M467’s broad built-in I/O support, users can choose only the precise hardware extensions they need for their particular applications. The M467 also supports HyperRAM. In AI/ML applications, the 64MB of HyperRAM provides the flexibility to handle different ML models with varying memory size or density requirements. HyperRAM also offers power-saving, suitability for available bandwidth, ease of use, and flexible expansion of memory options.

Strong Development Support

Fully-featured development boards are available for all of the above hardware applications. These are supported by Nuvoton’s deep development tools, development environment, and enthusiastic support. For example, AI application development with NuMaker MA35D1 not only enables efficient machine learning projects, such as image classification but also presents analysis to the user intuitively via the Human Machine Interface (HMI). Meanwhile, the NuMaker-IoT-M467 development board is specifically designed for IoT applications of the M467 MCU.

NuEdgeWise ML IDE Makes TinyML Development Simple

Nuvoton’s NuEdgeWise IDE (Integrated Development Environment) is a machine-learning tool designed for TinyML development. The IDE supports the four key stages of ML application development: labeling, training, validation, and testing. NuEdgeWise leverages the popular Jupyter Notebook platform, allowing developers to train and deploy models on Nuvoton chips using TensorFlow Lite. This makes TinyML applications more accessible and easier to implement.

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[To share your insights with us, please write to sghosh@martechseries.com]

The post Nuvoton Unveils New Production-Ready Endpoint AI Platform for Machine Learning appeared first on AiThority.

Omni Design Technologies, a leading provider of high-performance, low-power mixed-signal intellectual property (IP), announced their expanded silicon IP solutions, on advanced FinFET nodes, for next generation LiDAR (Light Detection and Ranging) applications.

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“Omni Design Technologies is accelerating the productization of ADAS solutions, enabling our customers to move quickly and with reduced risk”

Next generation LiDAR not only measures distance but also measures doppler shift which is directly proportional to the velocity of the object. By knowing the velocity of objects, LiDAR can better anticipate and avoid potential collisions and allows for safer more efficient navigation.

Omni Design Technologies enhanced next generation LiDAR IP offerings are built using its Swift data converters, which offer ultra-high-performance ADCs and DACs at low power. Silicon proven solutions from Omni Design Technologies for LiDAR customers now include:

• Specialized receiver channel for next generation LiDAR including Omni Designs’ proprietary front-end technology, which optimizes for low-power and high-speed, while maintaining wide dynamic range with dynamic range control for adaptive performance.
• Swift multi-channel ADCs with sampling rates ranging from 200-Msps to 10-Gsps and resolution of 10-bits to 14-bits. These ADCs are seamlessly integrated with supporting components such as LDOs, process, voltage and temperature monitors, bandgap reference, and low-jitter Phase Lock Loops (PLL) ensuring high performance and reliability.

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Over fifteen high performance low power IP solutions for next generation LiDAR applications, including Swift data converters to 10-GSPS and beyond, have been added to Omni Design Technologies portfolio, enabling clients to speed time-to-market and reduce development and deployment risk.

“Omni Design Technologies is accelerating the productization of ADAS solutions, enabling our customers to move quickly and with reduced risk,” said Dr. Kush Gulati, President, and CEO of Omni Design Technologies. “Our offerings, including silicon-verified receiver front ends and Swift data converter cores, exemplify our commitment to excellence in LiDAR technology. These advancements are a testament to our dedication to setting new industry standards and driving innovation in the LiDAR landscape.”

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[To share your insights with us, please write to sghosh@martechseries.com]

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The post PreAct Technologies Debuts New Line of LiDAR Sensors at CES appeared first on AiThority.

LLM in a Flash

Published on December 12, the new study titled “LLM in a Flash: Efficient Large Language Model Inference with Limited Memory” can revolutionize the iPhone experience. It could bring a more immersive visual experience and make complex AI systems accessible on iOS devices. A recent research paper by Apple reveals a groundbreaking method that can assist in implementing AI on iPhones.

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3D animated avatars from single-camera footage

Apple researchers present HUGS (Human Gaussian Splats) as a method to create 3D animated avatars from single-camera footage in the first study. In a statement made by principal author Muhammed Kocabas, the researchers claimed that their system could automatically separate a static scene from an animated human avatar in as little as 30 minutes using only a monocular video with a modest number of frames (50-100).

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Future demands of AI-infused services

Apple is looking ahead to the future demands of AI-infused services as it considers incorporating these breakthroughs into its product selection, which might improve its gadgets even further. If Apple’s new memory-allocation feature works as advertised, it might pave the way for a whole new category of apps and services to take advantage of LLMs in ways that weren’t possible before.

In addition, Apple is contributing to the larger AI community by publicizing its research, which could encourage other improvements in the field. That Apple is willing to do this shows how seriously it takes its role as a technological leader and its dedication to expanding human potential.

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Flash storage optimization

Using flash storage optimization, this method streamlines large LLMs. Another major development will occur when Apple incorporates sophisticated AI inside the iPhone. Two new research papers showcased this month by the Cupertino-based tech behemoth declared substantial advancements in AI. The study uncovered novel methods for efficient inference of language models and 3D avatars. This research delves into the difficulty of keeping model parameters in flash memory, running them into DRAM on demand, and executing LLMs that use more DRAM than is available. Data transfers from flash memory can be optimized with the use of the Inference Cost Model, which takes flash and DRAM characteristics into account.

To back up their claim, the researchers have utilized models like Falcon 7B and OPT 6.7B. According to the research, compared to conventional approaches, the models increased CPU speed by 4-5 times and GPU speed by 20-25 times.

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Why the users should be happy?

Users of Apple products, such as the iPhone, may profit substantially from the results of the study on efficient LLM inference with limited memory. Users will get access to greater AI capabilities with strong LLMs running efficiently on devices with limited DRAM, like as iPhones and iPads. Better language processing, smarter voice assistants, better privacy, maybe less internet bandwidth utilization, and, most significantly, making advanced AI available and responsive to every iPhone user—these are all features that come with the iPhone.

The post Revolutionary AI Breakthrough: Experience an Unparalleled Transformation of Your iPhone with Apple’s Latest Research appeared first on AiThority.

Today, everything is connected – from phones to watches to cars – modernizing industries, and cellular connectivity changing the way we live, work, and learn. But, at the same time carriers are building out the infrastructure to support this enhanced connectivity, they are setting aggressive decarbonization goals, including public Net Zero ambitions.

What that means for communications service providers (CSPs) is that they can no longer view performance as the sole criterion for success. The telecommunications network of today must be powerful and nimble – and it needs to be sustainable, too. And, AI is the key to creating and managing energy efficiency, reducing carbon footprint while continuing to deliver the high-quality service customers demand.

RAN Represents the Bulk of Energy Usage – And an Opportunity for Savings

The telecom industry is in a unique position when it comes to decarbonization. Advanced connectivity is key to enabling carbon reduction in other industries, and there is also a tremendous opportunity for the telecom industry to lead by example by cutting its own emissions. 

The Radio Access Network (RAN) equipment accounts for 80% of the energy use for an operator, based on a benchmarking study by the GSMA. Yet the GSMA also reports 62 operators, representing 61% of the industry (by revenue), have committed to a science-based carbon reduction target, pledging to reduce direct and indirect emissions by 2030.

As networks become increasingly complex, managing energy usage can’t be done manually. Software that monitors for periods of low usage to shut down unnecessary equipment is a good first step, but purely reactive solutions won’t be enough to manage traffic demands while cutting emissions.

AI is the missing ingredient that will help CSPs gain insights to inform ongoing energy savings, while also driving real-time efficiencies through operational orchestration.

AI is what will take network energy management from reactive to predictive, making decisions based on the network’s needs.

For example, AI functions can decide, based on data, what resources will be needed in the coming hours and days, and if all the capacity in the frequency bands within the RAN will be needed. They can then turn off or on different frequency bands or other resources according to predicted demand.

Because, AI programs dynamically learn, adapt, and act accordingly, these tools enable operators to control cells dynamically and in turn, serve dynamic traffic patterns instead of just peak traffic.

Taking things to the next level, CSPs will be able to use AI and machine learning predictions to build digital twins of the RAN environment, allowing them to test and develop energy-saving features without any risk to their actual, live network. 

AI Can Identify and Enable Savings Beyond Network Operations

And it’s not just the day-to-day network management where AI tools can help reduce energy usage. They can also help operators diagnose and resolve issues remotely, getting things right the first time to reduce unplanned downtime – as well as achieving carbon reduction through fewer maintenance truck rolls. And, with AI insights, CSPs can identify where new cell sites or other resources should be deployed, creating efficiencies with deployments and equipment buildouts.  

Another area where AI can enable energy savings is in the passive equipment at individual cellular sites, things like climate control or air conditioning.

AI solutions can help companies manage the energy infrastructure on-site more intelligently. They can also help in areas where demand response programs are enabled, or when government regulations or tariffs are in place to control peak demand.

For example, AI-powered applications can switch to battery power during times when tariffs are higher (peak load shifting), or when the grid power usage reaches a certain power grid alternating current (AC) limit.

There is a real urgency behind the need for CSPs to make operations more energy efficient, as the telecom industry works to meet self-declared sustainability targets as well as government mandates. Yet, there can be an understandable hesitancy to enact some energy-saving solutions, for fear of disrupting networks or reducing the quality of service. Luckily, AI can be a solution for both these issues – giving CSPs the tools they need to manage complex network functions in the most efficient manner possible, while also collecting and analyzing data to test and refine new applications in a virtual environment, such as a digital twin. Cellular networks need to get smarter to meet sustainability expectations without affecting customer experience – and AI is the key to making it work.

[To share your insights with us, please write to sghosh@martechseries.com]

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