Samsung, a titan in the world of consumer electronics and technology, sets the stage for a dynamic year ahead in 2023, unveiling a cascade of news stories that underscore its relentless pursuit of innovation and excellence. As the digital landscape continues to transform, Samsung takes the spotlight with a series of compelling developments, signaling its commitment to shaping the future of mobile devices, smart technology, and beyond. In the ever-competitive realm of electronics, Samsung’s top 10 news stories for 2023 emerge as a testament to the company’s ability to navigate the rapidly changing market, introducing cutting-edge products and pioneering technological advancements.

Top 10 News Of Samsung In 2023

Samsung Unveils Two New ISOCELL Vizion Sensors Tailored for Robotics and XR Applications

Samsung Electronics Co., Ltd., a world leader in advanced semiconductor technology, introduced two new ISOCELL Vizion sensors — a time-of-flight (ToF) sensor, the ISOCELL Vizion 63D, and a global shutter sensor, the ISOCELL Vizion 931. First introduced in 2020, Samsung’s ISOCELL Vizion lineup includes ToF and global shutter sensors specifically designed to offer visual capabilities across an extensive range of next-generation mobile, commercial and industrial use cases.

“Engineered with state-of-the-art sensor technologies, Samsung’s ISOCELL Vizion 63D and ISOCELL Vizion 931 will be essential in facilitating machine vision for future high-tech applications like robotics and extended reality (XR),” said Haechang Lee, Executive Vice President of the Next Generation Sensor Development Team at Samsung Electronics. “Leveraging our rich history in technological innovation, we are committed to driving the rapidly expanding image sensor market forward.”

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As the technology landscape evolves, Dell emerges in 2023 with a host of transformative developments, marking its continued impact on the world of computing and innovation. Dell, a stalwart in the tech industry, starts the year 2023 with a flurry of groundbreaking news stories, offering a glimpse into the company’s strategic moves and technological advancements that are set to shape the future of computing. In the realm of cutting-edge technology, Dell stands as a key player, and the top 10 news stories for 2023 shed light on the company’s commitment to driving progress and meeting the evolving needs of the digital age.

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Top 10 News of Dell in 2023

Dell Technologies Storage Advancements Accelerate AI and Generative AI Strategies

Dell PowerScale systems deliver up to a 200% performance improvement for streaming reads and writes to help customers more quickly access data for AI workloads

Dell Technologies is helping customers achieve faster AI and generative AI (GenAI) performance with new enterprise data storage advancements and validation with the NVIDIA DGX SuperPOD AI infrastructure.

“Storage performance is a critical factor for successful AI and generative AI outcomes,” said Arthur Lewis, president, Infrastructure Solutions Group, Dell Technologies. “Customers are relying on us to continually push the boundaries of storage innovation, including removing data access bottlenecks that limit the throughput and scalability of compute-intensive applications. We are addressing these needs by delivering fast, efficient and secure access to data and turning it into a proverbial goldmine of AI and GenAI possibilities.”

Dell Technologies and Meta to Drive Generative AI Innovation with Llama 2 On Premises

Dell Technologies is collaborating with Meta to make it easy for Dell customers to deploy Meta’s Llama 2 models on premises with Dell’s generative AI (GenAI) portfolio of IT infrastructure, client devices and professional services.

“We are at the beginning of a new era with generative AI transforming how industries operate, innovate and compete,” said Jeff Boudreau, chief AI officer, Dell Technologies. “With the Dell and Meta technology collaboration, we’re making open-source GenAI more accessible to all customers, through detailed implementation guidance paired with the optimal software and hardware infrastructure for deployments of all sizes. Now, customers can more easily deploy secure GenAI models on premises for powerful new approaches and insights.”

Read:The Top AiThority Articles Of 2023

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Is It Possible for AI to Advance Our Understanding of the Natural World?

In his welcoming remarks, National Academy of Medicine President Victor Dzau emphasized that AI is helping science in many ways, including by predicting outcomes from data, simulating complicated scenarios, and finding relevant trends in huge datasets.

According to a report in the Nature journal on December 21st, researchers from Carnegie Mellon University made history by creating the first ever non-organic intelligent system to conceive, plan, and carry out a chemistry experiment.

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Features

Assistant Professor of Chemistry and Chemical Engineering Gabe Gomes, along with Daniil Boiko and Robert MacKnight, who were doctoral students in chemical engineering, created the system known as Coscientist. The complete spectrum of the experimental procedure is executed with a simple, plain English prompt using large language models (LLMs), such as OpenAI’s GPT-4 and Anthropic’s Claude.

The research team proved in their Nature paper that Coscientist can do things like plan the chemical synthesis of known compounds, navigate hardware documentation, control liquid handling instruments, complete scientific tasks involving multiple hardware modules and diverse data sources, and solve optimization problems by analyzing previously collected data. They also used the documentation to execute high-level commands in an automated lab called a cloud lab.

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Cloud Lab

In early 2024, the first academic cloud lab will be opened by Carnegie Mellon in collaboration with ECL. More than 200 pieces of equipment will be available to academics and collaborators at Carnegie Mellon University through the Cloud Lab. Gomes intends to keep working on the technologies detailed in the Nature article so that they can be utilized by the Carnegie Mellon Cloud Lab and other autonomous research facilities down the road.

Additionally, a coscientist essentially unlocks the “black box” of research. By tracking and documenting each stage of the research process, the system ensures that the work can be easily reproduced.

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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.

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How is AI helping Researchers Identify a New Class of Antibiotic?

To combat diseases caused by bacteria that are resistant to many antibiotics, artificial intelligence has been essential in the discovery of a new class of medications. This may be useful in the fight against antibiotic resistance, which is a growing problem that killed over 1.2 million people in 2019 and will likely continue to do so for decades to come. A novel antibiotic that can kill a type of bacterium responsible for many drug-resistant diseases has been identified by researchers at MIT and McMaster University using an artificial intelligence algorithm.

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The medicine has the potential to battle Acinetobacter baumannii, a type of bacteria commonly found in healthcare facilities and a cause of pneumonia, meningitis, and other severe diseases if it were to be developed for use in patients. Wounds sustained by troops serving in Iraq and Afghanistan are also frequently infected with this particular bacterium. Using a machine-learning model they trained to determine if a chemical compound inhibits the growth of A. baumannii, the researchers were able to identify the novel medicine from a library of roughly seven thousand potential medicinal molecules.

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What are its features?

While very few new antibiotics have been created during the past several decades, many pathogenic bacteria have grown progressively resistant to current ones.

Collins, Stokes, and Regina Barzilay, a professor at MIT and co-author of the current paper, set out a few years ago to tackle this increasing problem using machine learning, an AI technique that can learn to identify patterns in massive datasets. Collaborating with MIT’s Abdul Latif Jameel Clinic for Machine Learning in Health, Collins and Barzilay intended to find novel medicines with structurally distinct molecular bonds using this method.

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First, they showed that they could train a machine-learning system to find chemical compounds that could stop E. coli from growing. The researchers named the molecule halicin after the fictitious AI system from “2001: A Space Odyssey.” The algorithm produced it from a screen of over 100 million molecules. In addition to killing E. coli, they demonstrated that this chemical might eradicate other treatment-resistant bacterial species. After training the algorithm, scientists fed it data from the Broad Institute’s Drug Repurposing Hub, which included 6,680 novel molecules. A few hundred high-quality results were produced by this analysis, which did not take more than two hours. Researchers focused on compounds with structures different from current antibiotics or molecules from the training data, choosing 240 to test experimentally in the lab.

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A New Class of Antibiotic Candidates That Can Kill a Drug-Resistant Bacterium

Nine antibiotics, including a highly effective one, were produced during those tests. This chemical, which was first investigated for its use as a diabetes medication, was found to be highly efficient against A. baumannii but inactive against other bacterial species such as Pseudomonas aeruginosa, Staphylococcus aureus, and carbapenem-resistant Enterobacteriaceae.

Antibiotics are highly prized for their “narrow spectrum” killing capabilities, which reduces the likelihood of bacteria quickly developing resistance to the medicine. A further perk is that the medicine will probably not harm the good bacteria already present in the human digestive tract, which helps to prevent opportunistic illnesses like Clostridium difficile.David Braley Center for Antibiotic Discovery, Weston Family Foundation, Audacious Project, C3.ai Digital Transformation Institute, Abdul Latif Jameel Clinic for Machine Learning in Health, DARPA Accelerated Molecular Discovery, Canadian Institutes of Health Research, Genome Canada, McMaster University’s Faculty of Health Sciences, Boris Family, a Marshall Scholarship, and the Department of Energy Biological and Environmental Research program were among the organizations that contributed to the funding of this research.

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Polycrystalline materials are utilized extensively in information equipment, solar cells, and electronic devices; however, these materials can experience a decrease in efficiency due to tiny flaws known as dislocations. To better understand these defects, researchers at Japan’s Nagoya University utilized artificial intelligence. Advanced Materials was the publication that carried out the research.

The production of microscopic crystal flaws due to stress and temperature variations is a big issue with employing polycrystals in industrial applications. A disruption to the normal arrangement of atoms in the lattice can impact electrical conduction and overall performance; these are known as dislocations. It is critical to comprehend the production of these dislocations to lessen the likelihood of failure in devices that employ polycrystalline materials.

Using a novel AI, a group of researchers from Nagoya University, headed by Professor Noritaka Usami and comprising Lecturer Tatsuya Yokoi, Associate Professor Hiroaki Kudo, and others, analyzed picture data of polycrystalline silicon, a material commonly utilized in solar panels. With the use of the AI’s virtual 3D model, the team was able to pinpoint exactly where the material’s performance was being negatively impacted by dislocation clusters. This research may have significant theoretical and practical consequences for our understanding of crystal development and deformation. An important theoretical framework for understanding the behavior of dislocations in materials is the Haasen-Alexander-Sumino (HAS) model. However, according to Usami, they have found dislocations that the Haasen-Alexander-Sumino model failed to capture.

Unexpectedly substantial tensile bond strains along the border of the staircase-like structures that prompted dislocation production were discovered shortly after when the scientists computed the arrangement of the atoms in these structures, which was another surprise.

Electron Microscopy and Theoretical Computations

With the use of the AI’s virtual 3D model, the team was able to pinpoint exactly where the material’s performance was being negatively impacted by dislocation clusters. Researchers employed electron microscopy and theoretical computations to deduce the formation mechanisms of the dislocation clusters after their locations had been identified.
The study, published in Advanced Materials, titled “Multicrystalline Informatics Applied to Multicrystalline Silicon for Unraveling the Microscopic Root Cause of Dislocation Generation,” delves into these questions.

Professor Noritaka Usami oversaw the study of polycrystalline materials, which also involved Lecturer Tatsuya Yokoi, Associate Professor Hiroaki Kudo, and others. They analyzed picture data of polycrystalline silicon, a material commonly used in solar panels, using a novel AI. The team was able to pinpoint the regions where dislocation clusters were impacting the performance of polycrystalline materials thanks to the AI’s creation of a virtual 3D model. Researchers employed electron microscopy and theoretical computations to deduce the formation mechanisms of the dislocation clusters after their locations had been identified.

At the grain boundaries, they discovered staircase-like structures and showed stress distribution in the crystal lattice. During crystal development, these structures seem to induce dislocations. In sum, the study should help in the development of new polycrystalline materials and shed light on the way to creating universal standards for high-performance materials.

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In the heart of the tech revolution, Nvidia shines as a beacon of innovation in 2023, unveiling a host of news stories that redefine the landscape of graphics processing and artificial intelligence. Nvidia, a powerhouse in the world of GPUs and AI computing, kicks off the year 2023 with a series of groundbreaking announcements, signaling its continued dominance in the forefront of cutting-edge technologies.

As the demand for high-performance computing grows, Nvidia’s top 10 news stories for 2023 showcase the company’s relentless pursuit of excellence, from the latest GPU architectures to breakthroughs in AI research. Stepping into the future, Nvidia’s 2023 narrative unfolds with a tale of technological leaps, strategic partnerships, and advancements that solidify its position as a driving force in the realms of gaming, data centers, and artificial intelligence.

From revolutionary graphics cards to breakthroughs in quantum computing, Nvidia’s journey in 2023 is a story of constant innovation, shaping industries and pushing the boundaries of what’s possible in the world of computing.

Top 10 News of Nvidia in 2023

NVIDIA Isaac Sim And AWS

With the upcoming arrival of NVIDIA Isaac Sim and NVIDIA L40S GPUs to Amazon Web Services, programmers will be able to create and launch cloud-based apps for accelerated robotics. Developed on the NVIDIA Omniverse platform for creating and linking OpenUSD applications, Isaac Sim is an extendable simulator for AI-enabled robotics. The L40S GPU is designed to handle the upcoming wave of data center workloads with its advanced AI computing, graphics, and media acceleration capabilities.

Among the AWS early users of the Isaac Sim platform are Theory Studios, Amazon Robotics, and Soft Robotics. Applications of artificial intelligence (AI) in robotics are trained and tested using robotics simulation. Virtual advancements are reaching new heights thanks to simulations powered by synthetic data. Before operation, simulations may be used to check, validate, and optimize robot designs, systems, and algorithms. In addition to minimizing expensive production change orders, it may improve facility designs before construction or modification to achieve optimal efficiency.

NVIDIA Brings Business Intelligence to Chatbots, Copilots and Summarization Tools With Enterprise-Grade Generative AI Microservice

AWS re:Invent NVIDIA announced a generative AI microservice that lets enterprises connect custom large language models to enterprise data to deliver highly accurate responses for their AI applications.

NVIDIA NeMo™ Retriever — a new offering in the NVIDIA NeMo family of frameworks and tools for building, customizing and deploying generative AI models — helps organizations enhance their generative AI applications with enterprise-grade retrieval-augmented generation (RAG) capabilities.

“Generative AI applications with RAG capabilities are the next killer app of the enterprise,” said Jensen Huang, founder and CEO of NVIDIA. “With NVIDIA NeMo Retriever, developers can create customized generative AI chatbots, copilots and summarization tools that can access their business data to transform productivity with accurate and valuable generative AI intelligence.”

Lenovo and NVIDIA Announce Hybrid AI Solutions to Help Enterprises Quickly Adopt GenAI

Lenovo and NVIDIA announced an expansion of their partnership with new, hybrid solutions and engineering collaboration that supports their shared vision to bring the power of generative AI to every enterprise

In close collaboration with NVIDIA, Lenovo will deliver fully integrated systems that bring AI-powered computing to everywhere data is created, from the edge to the cloud, helping businesses easily deploy tailored generative AI applications to drive innovation and transformation across any industry.

“With generative AI driving the greatest technology transformation of our time, enterprises are seeking solutions that give them the flexibility to develop and deploy workloads across their workstations, data centers and clouds,” said Bob Pette, Vice President of Enterprise Platforms at NVIDIA. “NVIDIA and Lenovo are providing a comprehensive portfolio of hybrid AI systems that businesses can rely on to power generative AI from virtually anywhere.”

NVIDIA Redefines Workstations to Power New Era of AI, Design, Industrial Metaverse

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Lenovo, a global tech powerhouse, takes center stage in 2023 with a cascade of exciting news stories that underscore its continued influence in the ever-evolving world of technology. Embarking on the journey of a new year, Lenovo sets the tone with a series of top-tier developments, positioning itself at the forefront of innovation and progress in 2023.

In the fast-paced landscape of consumer electronics, Lenovo’s top 10 news stories for 2023 unfold as a tapestry of advancements, collaborations, and strategic moves, reflecting the company’s commitment to staying ahead in the competitive tech market. As the digital era progresses, Lenovo showcases its prowess with a collection of transformative narratives, ranging from cutting-edge product launches to strategic partnerships that redefine the boundaries of technological possibilities.

Lenovo’s 2023 story is one of resilience and innovation, where each news headline paints a picture of a company determined to shape the future of computing and redefine the user experience.

Top 10 News of Lenovo in 2023

Lenovo Introduces Feature-Packed Devices and Solutions at CES that Deliver Users a More Personalized Experience

Lenovo Launches New Hybrid Cloud Platforms and Services to Accelerate AI

Lenovo announced it has expanded its hybrid cloud platform for AI with new ThinkAgile hyperconverged solutions and ThinkSystem servers that advance cloud deployment, hybrid connectivity and AI capabilities, powered by the next generation of Intel® Xeon® Scalable Processors. The new AI ready platform delivers improved performance and the latest accelerators as a critical next step for delivering a dynamic hybrid AI approach across public, private, and foundational models to enable AI for All.

The new Lenovo ThinkAgile hybrid cloud solutions are engineered to boost AI performance and build cloud agility by delivering more compute and faster memory to its market-leading portfolio when and where it is needed. Additionally, Lenovo Professional Services for AI and TruScale as-a-service offerings help customers simplify IT and accelerate AI with new integrated hybrid cloud for edge capabilities that quickly help businesses grow and only pay for what they need.

Lenovo Unveils New Data Management Solutions to Enable AI Workloads

 Lenovo announced its next wave of data management innovation with new ThinkSystem DG Enterprise Storage Arrays and ThinkSystem DM3010H Enterprise Storage Arrays, designed to make it easier for organizations to enable AI workloads and unlock value from their data. Also announced are two new integrated and engineered ThinkAgile SXM Microsoft Azure Stack solutions, enabling a unified hybrid cloud solution for seamless data management. As businesses continue to scale their operations to address growing data, security and sustainability requirements, the new Lenovo flash solutions provide customers with an accelerated path to deploy AI workloads efficiently and with added security features from edge to cloud, enabling workload consolidation and mobilizing faster insights fortified with ransomware protection.

Lenovo Grows AI Infrastructure Revenue to Over US$2 Billion and Brings AI to the Data

• Lenovo simplifies deployment for businesses with additional US$1 billion investment in portfolio expansion and one-stop enablement wherever data resides, from the pocket to the cloud

• Lenovo AI Innovators program delivers 150+ turnkey solutions, helping businesses implement generative AI, immersive metaverse simulations and cognitive decisions at scale

• Expanded AI-ready portfolio of smart devices and edge-to-cloud infrastructure includes new Lenovo ThinkEdge and ThinkSystem platforms purpose-built for enabling AI workloads

Lenovo Launches Digital Workplace Solutions to Boost Employee Experience and Increase Productivity

Hybrid work styles preferred by employees create security and other workplace challenges that distract leaders from the core business 

• End-to-end Lenovo support, guidance and managed services create competitive advantages from hybrid workforce/workplace challenges

• Lenovo DWS helps companies improve operational cost, enhance productivity and improve security posture through end-to-end services built on a state-of-the-art platform and deep expertise in technology

At a time when companies are struggling to find customized technologies to address their unique business requirements, Lenovo Solutions and Services Group (SSG) is launching Digital Workplace Solutions (DWS), a new managed services portfolio of intelligent tools and systems. DWS delivers work-related technology, security, efficiency, and employee satisfaction so that executives can deliver on key performance outcomes.

Lenovo Unveils Next Generation of Intel-Based Smart Infrastructure Solutions to Accelerate IT Modernization

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Vision-Based Speed Detection Algorithms

There are at least two primary reasons why it is becoming more and more crucial to precisely estimate the speed of road vehicles. To start, there has been a noticeable uptick in the number of speed cameras deployed around the globe in recent years. This is likely due to the widespread belief that enforcing reasonable speed limits is a great way to make roads safer for everyone. In addition, smart cities rely heavily on traffic monitoring and forecasting in road networks to improve traffic, pollution, and energy consumption.

One of the most important metrics for traffic conditions is vehicle speed. There are a lot of obstacles to overcome with vision-based systems when it comes to accurate vehicle speed detection, but there are also a lot of potential benefits, like a significant drop in costs (because range sensors aren’t needed) and the ability to correctly identify vehicles.

Video camera input data is the foundation of vision-based speed detection algorithms. There will be a photo album starting with the initial reveal and ending with the final reveal for every car. Factors such as vehicle speed, focus length, frame rate, and camera orientation relative to the road determine the total number of usable photographs.

Features:

• Variously known as traffic surveillance cameras or traffic CCTV, traffic cameras record traffic events live. Automatic or manual (visible inspection by a human operator) traffic flow, congestion, and accident monitoring is possible with their help. These cameras are often infrastructure- or drone-based and set up at a distance from the flow of traffic.
• Cams that record vehicles’ speeds are often called traffic enforcement cameras. In common parlance, they are a tool for keeping tabs on cars’ speeds apart from the actual speed sensor (be it radar, laser, or vision). The word “camera” comes from the fact that any system that uses radar or lasers to capture images of the vehicle also uses a camera. The word “speed camera” is used here in its most basic sense, meaning systems that measure speed using vision. Compared to the traffic cameras, their placement is typically more advantageous.

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Cornell and Open University of the Netherlands scholars have developed a programmable network model to modernize the internet’s architecture through software-defined networks. This model allows researchers and network administrators to customize packet scheduling, the air traffic control mechanism built into network switches. The research team focused on the network switch, which powers networks and the internet, to design the next generation of networking hardware-software.

Small pizza box-sized switches govern network data flow and connect devices to a computer network. They schedule packets, which routes data through a network. The switch processes data from thousands of network users, including emails, news site visits, and Zoom calls. The switch’s packet scheduler prioritizes and arranges data clusters according on network manager policies. Finally, the switch forwards packets to nearby switches until they reach the end user’s device.

Researchers claimed changing this air traffic control procedure has been impossible because manufacturers encode scheduling specifications into the switch. Once placed in new network switches, the team’s methodology would allow network administrators to customize the switch’s packet-scheduling software, building on MIT and Stanford researchers’ 2016 solution.

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