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digitalsoftwareproductreviews · 6 months

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#ai software #Dfy Marketing Funnel #Viral Traffic #USA #Technologynews

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govindhtech · 25 days

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Genio 510: Redefining the Future of Smart Retail Experiences

Genio IoT Platform by MediaTek

Genio 510

Manufacturers of consumer, business, and industrial devices can benefit from MediaTek Genio IoT Platform’s innovation, quicker market access, and more than a decade of longevity. A range of IoT chipsets called MediaTek Genio IoT is designed to enable and lead the way for innovative gadgets. to cooperation and support from conception to design and production, MediaTek guarantees success. MediaTek can pivot, scale, and adjust to needs thanks to their global network of reliable distributors and business partners.

Genio 510 features

Excellent work

Broad range of third-party modules and power-efficient, high-performing IoT SoCs

AI-driven sophisticated multimedia AI accelerators and cores that improve peripheral intelligent autonomous capabilities

Interaction

Sub-6GHz 5G technologies and Wi-Fi protocols for consumer, business, and industrial use

Both powerful and energy-efficient

Adaptable, quick interfaces

Global 5G modem supported by carriers

Superior assistance

From idea to design to manufacture, MediaTek works with clients, sharing experience and offering thorough documentation, in-depth training, and reliable developer tools.

Safety

IoT SoC with high security and intelligent modules to create goods

Several applications on one common platform

Developing industry, commercial, and enterprise IoT applications on a single platform that works with all SoCs can save development costs and accelerate time to market.

MediaTek Genio 510

Smart retail, industrial, factory automation, and many more Internet of things applications are powered by MediaTek’s Genio 510. Leading manufacturer of fabless semiconductors worldwide, MediaTek will be present at Embedded World 2024, which takes place in Nuremberg this week, along with a number of other firms. Their most recent IoT innovations are on display at the event, and They’ll be talking about how these MediaTek-powered products help a variety of market sectors.

They will be showcasing the recently released MediaTek Genio 510 SoC in one of their demos. The Genio 510 will offer high-efficiency solutions in AI performance, CPU and graphics, 4K display, rich input/output, and 5G and Wi-Fi 6 connection for popular IoT applications. With the Genio 510 and Genio 700 chips being pin-compatible, product developers may now better segment and diversify their designs for different markets without having to pay for a redesign.

Numerous applications, such as digital menus and table service displays, kiosks, smart home displays, point of sale (PoS) devices, and various advertising and public domain HMI applications, are best suited for the MediaTek Genio 510. Industrial HMI covers ruggedized tablets for smart agriculture, healthcare, EV charging infrastructure, factory automation, transportation, warehousing, and logistics. It also includes ruggedized tablets for commercial and industrial vehicles.

The fully integrated, extensive feature set of Genio 510 makes such diversity possible:

Support for two displays, such as an FHD and 4K display

Modern visual quality support for two cameras built on MediaTek’s tried-and-true technologies

For a wide range of computer vision applications, such as facial recognition, object/people identification, collision warning, driver monitoring, gesture and posture detection, and image segmentation, a powerful multi-core AI processor with a dedicated visual processing engine

Rich input/output for peripherals, such as network connectivity, manufacturing equipment, scanners, card readers, and sensors

4K encoding engine (camera recording) and 4K video decoding (multimedia playback for advertising)

Exceptionally power-efficient 6nm SoC

Ready for MediaTek NeuroPilot AI SDK and multitasking OS (time to market accelerated by familiar development environment)

Support for fanless design and industrial grade temperature operation (-40 to 105C)

10-year supply guarantee (one-stop shop supported by a top semiconductor manufacturer in the world)

To what extent does it surpass the alternatives?

The Genio 510 uses more than 50% less power and provides over 250% more CPU performance than the direct alternative!

The MediaTek Genio 510 is an effective IoT platform designed for Edge AI, interactive retail, smart homes, industrial, and commercial uses. It offers multitasking OS, sophisticated multimedia, extremely rapid edge processing, and more. intended for goods that work well with off-grid power systems and fanless enclosure designs.

EVK MediaTek Genio 510

The highly competent Genio 510 (MT8370) edge-AI IoT platform for smart homes, interactive retail, industrial, and commercial applications comes with an evaluation kit called the MediaTek Genio 510 EVK. It offers many multitasking operating systems, a variety of networking choices, very responsive edge processing, and sophisticated multimedia capabilities.

SoC: MediaTek Genio 510

This Edge AI platform, which was created utilising an incredibly efficient 6nm technology, combines an integrated APU (AI processor), DSP, Arm Mali-G57 MC2 GPU, and six cores (2×2.2 GHz Arm Cortex-A78& 4×2.0 GHz Arm Cortex-A55) into a single chip. Video recorded with attached cameras can be converted at up to Full HD resolution while using the least amount of space possible thanks to a HEVC encoding acceleration engine.

FAQS

What is the MediaTek Genio 510?

A chipset intended for a broad spectrum of Internet of Things (IoT) applications is the Genio 510.

What kind of IoT applications is the Genio 510 suited for?

Because of its adaptability, the Genio 510 may be utilised in a wide range of applications, including smart homes, healthcare, transportation, and agriculture, as well as industrial automation (rugged tablets, manufacturing machinery, and point-of-sale systems).

What are the benefits of using the Genio 510?

Rich input/output choices, powerful CPU and graphics processing, compatibility for 4K screens, high-efficiency AI performance, and networking capabilities like 5G and Wi-Fi 6 are all included with the Genio 510.

Read more on Govindhtech.com

#genio #genio510 #MediaTek #govindhtech #IoT #AIAccelerator #WIFI #5gtechnologies #CPU #processors #mediatekprocessor #news #technews #technology #technologytrends #technologynews

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artificicyai · 2 months

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Sora AI - The Future of Video Creation is Here | Sora OpenAI

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fiulo · 4 months

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OpenAI's GPT Store is here! Discover & build custom #GPTs tailored for any need: customer service, content creation, data analysis & more! Earn $$$ as a bot maker, or subscribe to use AI-powered assistants. 🛒💰🧠

See more: https://blog.fiulo.com/the-gpt-store-tailor-made-ai-tools-for-everything

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gghcares · 4 months

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Perhaps promoting the new challenge that Americans respond to the call of their origin and want to export medical technology for better health for all humans.

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informatology · 1 year

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"Exploring the Intersection of AI and Image Captioning: How Machines Generate Accurate and Meaningful Descriptions"

AI technology has come a long way in recent years, and one area where it has made significant progress is in image captioning. Image captioning refers to the process of generating a textual description of an image or video. In this article, we will explore how AI technology works with captioning and the different approaches used to generate captions.

Neural Networks

Neural networks are a key technology in image captioning. These networks are designed to mimic the human brain and can learn from examples and data. The networks consist of several layers of nodes, each of which performs a specific operation on the input data. For image captioning, the neural network is trained on a large dataset of images and their associated captions. The network then uses this training to generate captions for new images.

Natural Language Processing

Natural language processing (NLP) is another important technology used in image captioning. NLP is a subfield of AI that focuses on the interaction between computers and human language. It involves the analysis of language and the development of algorithms that can understand and generate natural language. In image captioning, NLP is used to generate captions that are grammatically correct and semantically meaningful.

Attention Mechanism

Attention mechanism is a technique used to improve the performance of neural networks in image captioning. It works by allowing the network to focus its attention on specific parts of the image when generating the caption. For example, if the image contains a person, the attention mechanism can direct the network to focus on the person's face when generating the caption. This helps to ensure that the generated caption is more accurate and relevant to the image.

Transfer Learning

Transfer learning is a technique that involves using a pre-trained neural network as a starting point for a new task. In image captioning, transfer learning can be used to improve the performance of the network by starting with a pre-trained network that has already been trained on a large dataset of images and captions. This allows the network to learn more quickly and accurately, reducing the amount of training time required.

In conclusion, AI technology has made significant strides in image captioning, thanks to the use of neural networks, natural language processing, attention mechanisms, and transfer learning. These technologies have enabled machines to generate captions that are accurate, meaningful, and grammatically correct. As AI technology continues to evolve, we can expect to see even more advanced image captioning systems that can understand and describe images and videos with greater accuracy and nuance.

#AItechnology #ImageCaptioning #NeuralNetworks #NaturalLanguageProcessing #AttentionMechanism #TransferLearning #ArtificialIntelligence #MachineLearning #ComputerVision #informatology #technologynews #information

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ivoryself-blog · 1 year

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#rich#smart#ai#aiart#chatgpt#affiliatemarketing#realestate#workfromhome#technology#technologynews#content#contentcreator#blogging#viralvideos#sixfigureincome#technologysales#jobs#jobsearch#affiliatemarketing#marketing#products#services#stocks##realestate#commission#sixfigures#money#millions#billions#sales#selling#opportunity#blogging#youtuber https://www.instagram.com/p/CqWMSukA4V4/?igshid=NGJjMDIxMWI=

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moremarketresearch · 1 year

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Global AI Accelerator Chip Market Expected to Grow Substantially Owing to Healthcare Industry

Global AI Accelerator Chip Market Expected to Grow Substantially Owing to Increased Use of AI Accelerator Chips in Healthcare Industry. The global AI accelerator chip market is expected to grow primarily due to its growing use in the healthcare industry. The cloud sub-segment is expected to flourish immensely. The market in the North American region is predicted to grow with a high CAGR by 2031. NEW YORK, March 17, 2023 - As per the report published by Research Dive, the global AI accelerator chip market is expected to register a revenue of $332,142.7 million by 2031 with a CAGR of 39.3% during the 2022-2031 period.

Dynamics of the Global AI Accelerator Chip Market

Growing use of AI accelerator chips across the global healthcare industry is expected to become the primary growth driver of the AI accelerator chip market in the forecast period. Additionally, the rise of the cyber safety business is predicted to propel the market forward. However, according to market analysts, lack of skilled AI accelerator chip workforce might become a restraint in the growth of the market. The growing use of AI accelerator chip semiconductors is predicted to offer numerous growth opportunities to the market in the forecast period. Moreover, the increased use of AI accelerator chips to execute AI workloads such as neural networks is expected to propel the AI accelerator chip market forward in the coming period.

COVID-19 Impact on the Global AI Accelerator Chip Market

The Covid-19 pandemic disrupted the routine lifestyle of people across the globe and the subsequent lockdowns adversely impacted the industrial processes across all sectors. The AI accelerator chip market, too, was negatively impacted due to the pandemic. The disruptions in global supply chains due to the pandemic resulted in a decline in the semiconductor manufacturing industry. Also, the travel restrictions put in place by various governments reduced the availability of skilled workforce. These factors brought down the growth rate of the market.

Key Players of the Global AI Accelerator Chip Market

The major players in the market include: - NVIDIA Corporation - Micron Technology Inc. - NXP Semiconductors N.V. - Intel Corporation - Microsoft Corporation - Advanced Micro Devices Inc. (AMD) - Qualcomm Technologies Inc. - Alphabet Inc. (Google Inc.) - Graphcore Limited. - International Business Machines Corporation These players are working on developing strategies such as product development, merger and acquisition, partnerships, and collaborations to sustain market growth. For instance, in May 2022, Intel Habana, a subsidiary of Intel, announced the launch of 2nd generation AI chips which according to the company, will provide a 2X performance advantage over the previous generation NVIDIA A100. This product launch will help Intel Habana to capitalize on this rather nascent market and will consolidate its lead over the competitors further.

What the Report Covers:

Apart from the information summarized in this press release, the final report covers crucial aspects of the market including SWOT analysis, market overview, Porter's five forces analysis, market dynamics, segmentation (key market trends, forecast analysis, and regional analysis), and company profiles (company overview, operating business segments, product portfolio, financial performance, and latest strategic moves and developments.)

Segments of the AI Accelerator Chip Market

The report has divided the AI accelerator chip market into the following segments: Chip Type: Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field Programmable Gate Arrays (FPGA), Central Processing Unit (CPU), and others Processing Type: edge and cloud Application: Natural Language Processing (NLP), computer vision, robotics, and network security Industry Vertical: financial services, automotive and transportation, healthcare, retail, telecom, and others Region: North America, Europe, Asia-Pacific, and LAMEA SegmentSub-SegmentChip TypeCentral Processing Unit (CPU) – Most dominant market share in 2021 - The use of CPU for improving the performance of a computer while running graphics and video editors are expected to push the growth of this sub-segment further.Processing TypeCloud – Significant revenue growth in 2021 Cloud acceleration chip helps content creators, publishers, and other entities to offer material to end users promptly which is predicted to propel the growth rate of the market higher.ApplicationNatural Language Processing (NLP) – Highest market share in 2021 Increased use of Natural Language Processing (NLP) due to its ability to make computer-human interactions more natural is expected to propel the sub-segment forward.Industry VerticalHealthcare– Huge market revenue in 2021 The growing use of AI by major healthcare companies to complement medical imaging is anticipated to offer numerous growth opportunities to the sub-segment in the forecast period.RegionNorth America – Most profitable by 2031 The development of new technologies in artificial intelligence (AI) accelerators in this region is predicted to propel the market in the forecast period. Read the full article

#chipmarket #markettrends #semiconductors #technology #technologynews #technologytrends

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mun-ink · 1 year

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#robot #tech #innovation #engineering #business #technews #science #design #gadgets #electronics #software #toy #ai #instatech #education #security #gadget #technologynews #art #technology #tech #Innovative #Munink #tec #futuretech #fyp https://www.instagram.com/p/CpX-IajuBOn/?igshid=NGJjMDIxMWI=

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sassylightcycle · 1 year

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read Full article click

#News #YouTubeShorts #BreakingNews #WorldNews #Politics #SportsNews #EntertainmentNews #BusinessNews #TechnologyNews #WeatherUpdates #HealthNews #ScienceNews #ElectionCoverage #LiveUpdates #HeadlineNews #DailyNews #CurrentEvents #Ry

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govindhtech · 25 days

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Dominate the Battlefield: Intel Battlemage GPUs Revealed

Intel Arc GPU

After releasing its first-generation Arc Alchemist GPUs in 2022, Intel now seems to be on a two-year cadence, as seen by the appearance of the Battlemage in a shipping manifest. This suggests that Battlemage GPUs are being supplied to Intel’s partners for testing, as it’s the first time they’ve seen any proof of them existing in the real world. Intel is probably getting ready for a launch later this year given the timing of this.

Two Battlemage GPUs are being shipped by Intel to its partners, per a recently discovered shipment manifest that was published on X. The GPUs’ designations, G10 and G21, suggest Intel is taking a similar approach as Alchemist, offering one SKU that is more or less high-end for “mainstream” gamers and one that is less expensive.

Intel Arc Graphics Cards

As you may remember, Intel had previously announced plans to launch four GPUs in the Alchemist family:

Intel Arc A380

The A380, A580, A750, and A770. However, only the latter two were officially announced. They anticipate that the A750 and A770, which Intel most likely delivers at launch for midrange gamers, will be replaced by the G10.

They’ve never heard of cards being “in the wild,” but two Battlemage GPUs have shown up in the Si Soft benchmark database before. The fact that both of those cards have 12GB of VRAM stood out as particularly noteworthy. This suggests that Intel increased their base-level allowance from 8GB, which is a wise decision in 2024. As stated by Intel’s CEO earlier this year, Battlemage was “in the labs” in January.

Intel Arc A770

A previously released roadmap from Intel indicates that the G10 is a 150W component and the G21 is 225W. It is anticipated that Intel will reveal notable improvements in Battlemage’s AI capabilities, greater upscaling performance, and ray tracing performance. As 225W GPUs were the previous A750 and A770, it seems Battlemage will follow the script when it comes to its efficiency goals. The business has previously declared that it wishes to aim for this “sweet spot” in terms of power consumption, wherein one PCIe power cable is needed rather than two (or three).

While the industry as a whole is anxious to see how competitive Intel will be with its second bite at the apple, gamers aren’t exactly waiting impatiently for Intel to introduce its GPUs like they do with Nvidia or AMD’s next-gen. Even if the company’s Alchemist GPUs were hard to suggest when they first came out, significant performance advancements have been made possible by the company’s drivers.

The Intel Battlemage G10 and G21 next-generation discrete GPUs, which have been observed in shipment manifests, are anticipated to tackle entry into the mid-range market. They already know from the horse’s mouth that Intel is working on its next generation of discrete graphics processors, which it has revealed are being code-named Battlemage. The company is developing at least two graphics processing units, according to shipping excerpts.

Intel Battlemage GPUs

The shipping manifest fragments reveal that Intel is working on several GPUs specifically for the Battlemage G10 and G21 versions. The newest versions in Intel’s graphics processor lineup include the ACM-G11, an entry-level graphics processor, and the ACM-G10, a midrange market positioning and higher-end silicon graphics processor. As a result, the names Battlemage-G10 and Battlemage-G21, which are aimed at entry-level PCs and bigger chips, respectively, match the present names for Intel’s Arc graphics processors. Both stand a strong chance of making their list of the best graphics cards if they deliver acceptable levels of performance.

The Battlemage-G10 and Battlemage-G21 are being shipped for research and development, as stated in the shipping manifest (which makes sense considering these devices’ current status). The G21 GPU is currently in the pre-qualification (pre-QS) stage of semiconductor development; the G10’s current status is unknown.

Pre-qualification silicon is used to assess a chip’s performance, reliability, and functionality. Pre-QS silicon is typically not suitable for mass production. However, if the silicon device is functional and meets the necessary performance, power, and yield requirements, mass production of the device could be feasible. For example, AMD’s Navi 31 GPU, if it meets the developer’s objectives, is mass-produced in its A0 silicon phase.

They rarely get to cover Intel’s developments with its next-generation graphics cards, but they frequently cover Nvidia’s, as they did recently with the GeForce RTX 50-series graphics processors, which should appear on their list of the best graphics cards based on industry leaks.

This generation, Nvidia seems to be leading the laptop discrete GPU market, but Battlemage, with Intel’s ties to OEMs and PC manufacturers, might give the green team some serious competition in the next round. According to the cargo manifest, there will be intense competition among AMD’s RDNA 4, Intel’s Battlemage, and Nvidia’s Blackwell in the forthcoming desktop discrete GPU market.

Qualities:

Targeting Entry-Level and Mid-Range: The ACM-G11 and ACM-G10, the successors to the existing Intel Arc Alchemist series, are probably meant for gamers on a tight budget or seeking good performance in games that aren’t AAA.

Better Architecture: Compared to the Xe-HPG architecture found in Intel’s existing Arc GPUs, readers can anticipate an upgrade in this next-generation design. Better performance per watt and even new features could result from this.

Emphasis on Power Efficiency: These GPUs may place equal emphasis on efficiency and performance because power consumption is a significant element in laptops and tiny form factor PCs.

Potential specifications (derived from the existing Intel Arc lineup and leaks):

Production Process: TSMC 6nm (or, if research continues, a more sophisticated node) Unknown is the core configuration. Possibly less cores than Battlemage models at higher levels (should any exist).

Memory: GDDR6 is most likely used, yet its bandwidth and capacity are unclear. Power Consumption: Designed to use less power than GPUs with higher specifications.

FAQS

What are the Battlemage G10 and G21 GPUs?

Intel is developing the Battlemage G10 and G21, next-generation GPUs that should provide notable gains in capabilities and performance over their predecessors.

What markets or segments are these GPUs targeting?

Targeting a wide range of industries, including professional graphics, gaming, and data centres, the Battlemage G10 and G21 GPUs are expected to meet the demands of both consumers and businesses.