#SnapdragonSummit.

[phonemantra-blog]

Tech enthusiasts eagerly await the next generation of flagship smartphones, and Xiaomi is at the forefront of the conversation with whispers surrounding the upcoming Xiaomi 15 series. While official details remain under wraps, leaks, and rumors have begun to paint a picture of what to expect from this highly anticipated device. Let's delve into the current speculations regarding the Xiaomi 15's launch timeline, potential specifications, and its place within the competitive landscape. Xiaomi 15 A Familiar Launch Window: Mid-October Beckons According to prominent leakster Digital Chat Station, the Xiaomi 15 is likely to arrive in mid-October 2024. This aligns with the release schedule of its predecessor, the Xiaomi 14 series, which launched in October 2023 with a subsequent global launch in Q1 of 2024. Following this pattern, the global launch of the Xiaomi 15 series is expected to take place sometime in Q1 of 2025. Snapdragon 8 Gen 4: Powering the Next Frontier The most exciting rumor surrounding the Xiaomi 15 series revolves around its potential processor. Leaks suggest that the Xiaomi 15 and 15 Pro might be the first smartphones to boast the Qualcomm Snapdragon 8 Gen 4 chip. This aligns with earlier reports from Yogesh Brar, a notable tech leaker, who hinted at an exclusive deal between Xiaomi and Qualcomm for the initial launch of the Snapdragon 8 Gen 4. The official unveiling of this next-generation processor is anticipated during the Snapdragon Summit in October 2024. The Snapdragon 8 Gen 4 is expected to feature Qualcomm's custom Oryon CPU, promising enhanced performance, particularly in the Neural Processing Unit (NPU) department. This translates to potential improvements in AI-powered features like image processing, natural language recognition, and on-device machine learning tasks. A Glimpse into Potential Specifications While confirmed details remain scarce, leaks offer an early glimpse into the Xiaomi 15's potential specifications: Display: A 6.36-inch flat display with a 1.5K resolution (2500 x 1200 pixels) is rumored, along with an adaptive refresh rate of 120Hz for smooth visuals. Additionally, the display might reach a peak brightness of 1400 nits, ensuring excellent visibility even in bright environments. Camera: The primary camera sensor might be a 50MP unit, though details regarding the overall camera system remain unconfirmed. Further information on secondary lenses and functionalities is likely to emerge closer to the launch date. It's important to remember that these specifications are based on leaks and rumors. Official confirmation from Xiaomi is necessary to verify the accuracy of these details. The Competitive Landscape: A Snapdragon Showdown The Xiaomi 15 isn't the only contender vying for dominance in the high-end smartphone market. Both OnePlus and iQOO are also rumored to be launching flagship devices powered by the Snapdragon 8 Gen 4. This sets the stage for an exciting competition, with each manufacturer striving to outdo the others with innovative features, optimized performance, and compelling user experiences. The Xiaomi 15 - A Promising Horizon While shrouded in a veil of speculation, the Xiaomi 15 series paints a promising picture of the future of flagship smartphones. With the potential of being the first to harness the power of the Snapdragon 8 Gen 4 and boasting a sleek display and a capable camera (based on leaks), the Xiaomi 15 has the potential to be a frontrunner in the upcoming tech race. As more information surfaces in the coming months, a clearer picture of this exciting device will emerge. FAQs Q: When will the Xiaomi 15 be released? A: Based on leaks, the Xiaomi 15 is expected to launch in mid-October 2024. However, this information is not officially confirmed by Xiaomi. Q: What processor will the Xiaomi 15 use? A: Rumors suggest that the Xiaomi 15 and 15 Pro might be the first smartphones equipped with the Qualcomm Snapdragon 8 Gen 4 processor.

[shanahazuki]

@miketlse es el mago detrás de esta foto, con un smartphone que tiene un procesador Snapdragon me tomo esta fabulosa foto para un artículo de @snapdragonofficial que podrás ver en el link que aparece en mi descripción . . @miketlse is the magician behind this photo, with a smartphone that has a Snapdragon processor I take this fabulous photo for an article by @snapdragonofficial that you can see in the link that appears in my description . . #SnapdragonInsiders #SnapdragonSummit @snapdragon_latam (en Maui) https://www.instagram.com/p/ClndaZ0un1D/?igshid=NGJjMDIxMWI=

[govindhtech]

On-Device AI Magic: Unlock Advanced Strategies

Advanced strategies for rapid, accurate, and efficient on-device generative AI models

With generative AI use rising at historic rates and compute needs rising, on-device AI processing is crucial. The first Android phone-based Stable Diffusion demo was shown at MWC 2023. Much development has been achieved since then.

After Snapdragon Summit 2023, we exhibited some stunning On-Device AI demonstrations on Snapdragon 8 Gen 3 Mobile Platform smartphones and Snapdragon X Elite Platform computers.they will show you how Qualcomm AI Research uses sophisticated methodologies and full-stack On-Device AI optimizations to make on-device generative AI demo experiences quick and efficient.

Effective On-Device AI via knowledge distillation and quantization-aware training

Knowledge distillation and quantization helped us shrink, speed up, and improve models.

Knowledge distillation is a transfer learning strategy that trains a smaller “student” model to replicate a bigger “teacher” model with high accuracy. Matching model logits transfers instructor model representation to student and minimizes distillation loss. Knowledge distillation provides a smaller model for quicker inference without using the teacher’s training process.

Quantization decreases weight parameter and activation calculation bit accuracy. They developed basic methods to decrease quantization errors, many of which are available in the AI Model Efficiency Toolkit (AIMET) on the Qualcomm AI Stack and GitHub. Post-training quantization needs no training but may not reach the requisite accuracy at certain bit precisions. Quantization-aware training simulates quantization during fine-tuning to decrease loss and improve model accuracy.

Creating the quickest phone Stable Diffusion      

Our Stable Diffusion implementation ran in under a second at Snapdragon Summit. We accomplished it how? As its name says, Stable Diffusion creates visuals using reverse diffusion conditioned on the input prompt. The bottleneck must be found to speed it up.

The largest component model in the Stable Diffusion architecture is the UNet, which is repeated multiple times to denoise the picture until the output image is formed. Image quality sometimes requires 20 or more processes. UNet repetition is the computing bottleneck. Our system improvements reduced denoising calculations.

Our study used knowledge distillation, guidance conditioning, and step distillation to create an efficient UNet. We saved computation by pruning the attention blocks in the first layer of the UNet, and knowledge distillation restored model accuracy. Knowledge distillation again reduced the number of stages by teaching the student model to match a teacher’s correctness, which takes several steps.

Results: quick, high-quality picture production

We created the quickest phone diffusion-based text-to-image generation by combining these methods. Running on a Snapdragon 8 Gen 3 phone, we got a 9x speedup against the baseline Stable Diffusion and over 25x faster than at MWC 2023.

As seen in the photos above, CLIP and FID perceptual metrics and qualitative findings were encouraging for image quality. Generating high-quality photos in under a second improves user experience and expands generative AI application cases.

Fastest phone Llama 2-7B ever    

To optimize a big language model (LLM) like Llama 2, find its bottlenecks. Since LLMs are autoregressive, their output values rely on their past values, hence processing must be sequential.

LLMs create one token every inference, which is a linguistic unit like words, numerals, and punctuation. Each response token is generated using all LLM parameters. Llama 2-7B requires seven billion parameters to create each token, which requires a lot of bandwidth to read these weights for calculations. In addition, LLMs must create several tokens for chatbot answers such a few words in seconds.

So, LLMs are bandwidth constrained rather than computation limited since memory bandwidth is the barrier. This inspired us to find the finest device LLM acceleration methods. Knowledge distillation, quantization-aware training, and speculative decoding lowered memory bandwidth.

We optimized full-stack AI for fast Llama 2 via knowledge distillation, quantization-aware training, and speculative decoding.

Quantization-aware knowledge distillation training

To compress the model by 4x, we want Llama 2’s parameters to be 4-bit integer (INT4). It was trained using floating-point 16 (FP16 Quantizing to an INT4 model might be difficult if post-training quantization is inaccurate or the training pipeline (e.g., data or incentives) is unavailable for quantization-aware training.

We solve these problems using quantization-aware training and knowledge distillation to create an accurate and compact INT4 model. Perplexity, a traditional LLM generation capacity measure, dropped by less than 1%, while reasoning test accuracy dropped by less than 1%.

Speculation decoding

Since LLMs are memory limited, we may employ speculative decoding to speed up token rate by trading compute for memory bandwidth, enhancing user experience. Speculative decoding uses a draft model, which is much smaller than the high-accuracy target model, to swiftly and consecutively create speculative tokens, which the original target model checks and corrects.

Consider a draft mechanism that creates three speculative tokens consecutively. The target model then processes all three speculative tokens in one model pass (a batch), reading model parameters just once. Token acceptance is determined by the goal model. Due to LLMs’ memory constraints, speculative decoding may speed them faster.

Our implementation of speculative decoding on a phone using the Llama 2-7B Chat model was the first. Optimising Llama 2-7B using speculative decoding and other research methods allowed Snapdragon 8 Gen 3 phones to talk at 20 tokens per second.

The quickest Llama 2-7B on a phone was accomplished, showcasing communication with a device-only AI helper.

Continuously improving on-device generative AI

The edge of AI processing is gaining importance to scale. On-device AI is essential for hybrid and global generative AI. Processing will be shared between cloud and edge devices based on device capabilities, privacy and security needs, performance requirements, and business models.

They keep optimizing our solutions using full-stack On-Device AI and pushing edge technology. They have greatly enhanced edge device generative AI in less than 10 months. he will excited to push it farther and see what the ecosystem builds with it.

Read more on Govindhtech.com

[sandandjello]

What an alluring coastline. ❤️❤️ . . . . . . . . . #maui #hawaii #SnapdragonSummit #sponsoredtravel #travel #beautifulplaces #inspiringplaces #pixel4XL #googlepixel #teampixel (at Grand Wailea Maui, A Waldorf Astoria Resort) https://www.instagram.com/p/B5pESlLJY0K/?igshid=1ht5awgjcbws0

[rahul-tiwary]

Qualcomm just launched the new flagship Snapdragon 888 Plus chipset. The new 800-series chip succeeds the Snapdragon 888 and is now the manufacturer’s most powerful processor, set to be used in upcoming flagship phones. New features on the 888 Plus include a 3GHz prime CPU core, improved AI Engine and more. . . . Like ❤️ Save 🔐 Share ⬆️ and Comment 💌 . . . Do let me know what do you think in the comments below . Follow ➡️@techpix96 Follow ➡️@techpix96 Follow ➡️@techpix96 . . . #snapdragon #chipset #snapdragon888plus #snapdragon855 #snapdragon845 #snapdragonsummit #snapdragon855plus #snapdragon660 #snapdragonsnippets #snapdragon710 #snapdragon835 #snapdragon730 #snapdragon730g #snapdragonprocessor #snapdragon720g #snapdragon875 #qualcomm #qualcommsnapdragon #qualcommstadium #qualcommindia #techpix #technews #smartphones #processors #mobileprocessor #gputurbo (at New Delhi, India) https://www.instagram.com/p/CQsyNAzDAIa/?utm_medium=tumblr

[tech-preacher]

List of Snapdragon 888 mobile phones: ● Mi 11 ● Realme Race ● OPPO Find X3 ● Red Devils 6 ● Nubia Z ● ZTE Tianji Axon 30 ● OnePlus 9 (expected) ● Redmi K40 Pro (expected) ● Samsung Galaxy S21 series #snapdragonsummit #snapdragon888 #Snapdragon #Mi #Realme https://t.co/EDHEqTo2ua https://www.instagram.com/p/CIfVhrfgias/?igshid=1ofly5xlshx30

[lohar]

Repost @xataka ・・・ Con usted el nuevo y pequeñísimo Snapdragon 845 de Qualcomm. #SnapdragonSummit • • • • • #tech #technology #gadgets #instatech #device #techie #gadget #electronics #techy #computers #laptops #hack #screen #electronic #geek #nerd #smartphone #mobile #startup #socialmedia #deal #android #pc #contestalert #innovation #sweepstakes #software #developer #smallbiz (en Grand Wailea, A Waldorf Astoria Resort)

[botbitesin-blog]

Qualcomm also announced mid-range SoCs with 5G integrated. This is the Snapdragon 765 with the Snapdragon X52 5G modem integrated. Nokia, Xiaomi, Motorola and Oppo committed to launch smartphones powered by the chipset in 2020. #snapdragonsummit #qualcomm #smartphones #xiaomi #nokia #motorola #oppo #botbites #botbitesin (at India) https://www.instagram.com/p/B5o77Kdheqx/?igshid=wjrq6wv90t1t

[everytechever]

Snapdragon 8cx Gen 3 is the first 5nm chipset for Windows

The new chip will power Windows-on-ARM laptops. #SnapdragonSummit #Snapdragon #Snapdragon8cx #everytechever

Qualcomm is concentrating its efforts on other platforms at the moment. Starting with Windows-on-ARM laptops and two new chipsets for them, one for high-end devices and the other for low-cost devices that nevertheless require 5G connectivity. The high-end model is the Snapdragon 8cx Gen 3. We don’t know what CPU cores are employed here because Qualcomm is keeping hardware details under wraps. We…

[phonemantra-blog]

For years, Android updates have been a source of frustration for users. Delays and limited support windows plagued older devices, leaving them vulnerable and lacking access to new features. However, a beacon of hope has emerged – Qualcomm, a leading mobile chipmaker, is actively working to simplify the update process for smartphone manufacturers (OEMs). This move has the potential to revolutionize the Android update landscape, ensuring a smoother and more secure experience for users. Qualcomm Steps Up The Update Quandary: Why Delays Plague Android Devices Several factors contribute to the sluggish update rollout for Android devices. One significant hurdle is the role of chipset makers like Qualcomm. When they cease supporting older models, it becomes more challenging for OEMs to deliver updates. This limitation often leaves users with outdated software, hindering performance and security. However, Qualcomm refutes the notion that they are the primary bottleneck for updates. They are actively taking steps to address the issue by collaborating with Google and OEMs. Unveiling the Solution: Code Revamp for Faster Updates The key to Qualcomm's approach lies in "changing the structure of inline code," as revealed by Chris Patrick, SVP and General Manager of Handsets at Qualcomm, in an interview with Android Authority. This cryptic statement suggests that Qualcomm is optimizing the internal code within their chips, potentially streamlining the update delivery process. While details remain scarce, the announcement hints at a fundamental shift that could significantly impact update delivery timelines. Patrick further fueled the anticipation by suggesting that more information is on the horizon, potentially arriving at major industry events like the Snapdragon Summit or IFA. A Domino Effect: Benefits for Users and Manufacturers Qualcomm's efforts extend beyond mere technical changes. The ultimate goal is to create a ripple effect that benefits the entire Android ecosystem. Streamlined updates empower OEMs to provide: Extended Support: With a simplified update process, manufacturers can offer software support for older devices for a longer duration. This translates to increased security and access to new features for users. Timely Updates: Faster update delivery translates to quicker security patches and bug fixes for users. This is critical in today's ever-evolving threat landscape. Reduced Costs: Streamlining the update process can potentially reduce development costs for OEMs, a saving that could be passed on to consumers. These benefits align perfectly with the demands of today's Android users who crave timely updates and longer support, particularly for devices powered by Qualcomm chipsets. A Collaborative Effort for a Brighter Future Qualcomm's initiative underscores the importance of collaboration in the tech industry. By working hand-in-hand with Google and OEMs, they are fostering a solution that tackles a long-standing challenge in the Android ecosystem. This collaborative approach sends a clear message – all stakeholders are invested in ensuring a more secure and up-to-date experience for Android users. Frequently Asked Questions: Q: Why are Android updates often delayed for older devices? A: Several factors contribute to delays, one of which is limited support from chipset makers like Qualcomm for older models. However, Qualcomm is actively working on solutions. Q: How will Qualcomm's efforts simplify the update process? A: The company plans to "change the structure of inline code" within their chips, potentially streamlining update delivery for OEMs. Q: What are the potential benefits of this initiative for users? A: Users can expect extended support for older devices, faster updates, and potentially lower costs for manufacturers, which could trickle down to consumers.

[shanahazuki]

Fuimos a hacer hiking en #Hawaii y tomamos fotos con nuestro celular con procesador #snapdragon8Gen1 . . #ShotOnSnapdragon #SnapdragonSummit @snapdragon_latam (en Twin Falls On The Hana Road) https://www.instagram.com/p/Ck_9tAuPMxb/?igshid=NGJjMDIxMWI=

[epicgeek]

Snapdragon Summit 2022: Snapdragon 8 Gen 2 é anunciado com suporte a ray tracing, Wi-Fi 7 e mais

Evolução do Snadpragon 8 Gen 1, nova plataforma Qualcomm chega com suporte ao Ray Tracing, modem atualizado e energeticamente mais eficiente @snapdragon_BRA #SnapdragonSummit #Snapdragon8Gen2 #Android #EpicGeek #Tech #Tecnologia

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[andru]

I miss being at the @Qualcomm #SnapdragonSummit with the homies! 😭 Rainy Seattle this, frigid MN next week! https://www.instagram.com/p/BrRfStEFF9u/

[sandandjello]

Why yes, I did buy a special checkable bag from the Chateau St. Jean Winery just so I could safely get a case home from my extended travels! Wouldn't you? 🤷🏼‍♀️ There are also two more bottles in my Level8 trunk. 🍷😉🍷 These bottles will arrive home to @kevzb7 very well-traveled; they've gone from their respective wineries to the Fairmont Sonoma Mission, to a too short overnight stay in San Francisco*, to SFO, to LAX, to OGG, to the Grand Wailea in Maui, and soon they'll go back to OGG, to DFW, SJT, and then finally home to the ranch. Worth it! 😅 *Thank you so much for sharing your space with @helenatstone and me, @tnkgrl and @deathandfood! ❤️ #travel #sponsoredtravel #sonoma #maui #mediateksummit #snapdragonsummit #headedhome (at Grand Wailea Maui, A Waldorf Astoria Resort) https://www.instagram.com/p/ClHYwtuSYKX/?igshid=NGJjMDIxMWI=

[lohar]

Good morning Maui. #SnapdragonSummit • • • • • #bw #maui #bnw #mauinokaoi #mauilife #bw_lover #monochrome #blackandwhitephotography #pic #bnw_society #bw_photooftheday #bw_society #picture #monoart #igersbnw #instablackandwhite #monochromatic #photos #travelling #photograph #insta_bw #traveler #tourism #travelingram #igtravel #traveller #tourist #instatraveling #mytravelgram (en Humuhumunukunukuapua'a)