Izzzzzzzzzzy
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HOW DARE YOU, DAMN YOU MISOGYNIST. NOT IM MY FORUM YOU DONT
BRN Discussion Ongoing
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Sirod69
bavarian girl ;-)
AI and the global energy transition
CAROLE NAKHLEThe Fourth Industrial Revolution – artificial intelligence in particular – has the potential to solve some of the current conundrums of the green transition.
- AI could help solve issues in implementing green technologies
- Governments are rushing to invest in AI energy applications
- Unforeseen challenges could emerge along the way
AI in the spotlight
- An AI Index analysis of legislative records on AI in 25 countries shows that the number of bills containing “artificial intelligence” that were passed into law grew from just 1 in 2016 to 18 in 2021. Spain, the UK, and the U.S. passed the highest number of AI-related bills in 2021 with each adopting three.
- The number of AI patents filed in 2021 is more than 30 times higher than in 2015, showing a compound annual growth rate of 77%.
- A study by PricewaterhouseCoopers and Microsoft estimates the potential contribution to the global economy by 2030 from AI to be $15.7 trillion. AI can help deliver a global reduction in emissions of up to 4 percent by 2030 compared to business as usual.
- In September Saudi Aramco launched the “Global AI Corridor,” a $250 million project “designed to develop and commercialize complex AI solutions, train Saudi talent, support Saudi start-ups, and together with a global partner build a local AI ecosystem.”
- TotalEnergies partnered with Google Cloud to develop AI solutions to explore and assess oil and gas fields faster and more effectively.
Is AI the key to the green energy transition? – GIS Reports
Many countries are starting to include AI in a broad range of applications to implement their national green energy strategy.
www.gisreportsonline.com
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Close it’s Linda Blurrrrr.
Sirod69
bavarian girl ;-)
Samsung Unveils Vision for the Future of AI at Samsung AI Forum 2022
on November 8, 2022A host of world-renowned academics, researchers from Samsung Electronics and industry experts will come together to share their insights on the future of artificial intelligence at Samsung AI Forum 2022.
Samsung Unveils Vision for the Future of AI at Samsung AI Forum 2022
A host of world-renowned academics, researchers from Samsung Electronics and industry experts will come together to share their insights on the future of
Neuromorphia
fact collector
Last edited:
Fox151
Regular
Maybe we need to give the accountants a gig every now and again so they consider generating some news (and money) as well as cool tech..
Google Pixel 7 Unblur function?????
Fact Finder
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Anyone know if the symbols above the mobile phone are Korean, Japanese or Taiwanese:
Regards
FF
AKIDA BALLISTA
Regards
FF
AKIDA BALLISTA
alwaysgreen
Top 20
Would love to see BRN jump 2475%
alwaysgreen
Top 20
I'm fairly certain Tensor does not incorporate Akida unfortunately.
Sirod69
bavarian girl ;-)
MediaTek: Dimensity 9200 features new Arm cores and ray tracing
8.11.2022 11:11 Nicolas La Rocco
With the Dimensity 9200, MediaTek is the first provider of a flagship SoC that uses Arm's new CPU cores and their new ray-tracing GPU. The chip, manufactured in the second generation TSMC N4, is ahead of Qualcomm, who are planning an announcement for next week, and should appear in the first smartphones by the end of 2022.
The new top model from MediaTek is called Dimensity 9200 and replaces the previous flagships Dimensity 9000 and Dimensity 9000+ (test).
Faster and more economical thanks to TSMC N4P
The biggest innovation of the system-on-a-chip is the use of Arm's latest IP, which the company presented in June of this year. In the Dimensity 9200, a single Cortex-X3 with a maximum of 3.05 GHz works as the prime core, while three Cortex-A715 with up to 2.85 GHz the performance and four Cortex-A510 refresh with up to 1.8 GHz that Form efficiency clusters. ComputerBase's coverage of the Arm Tech Day provides all the details about the new editions.
Compared to US media such as Android Police, MediaTek specifies 10 to 12 percent more raw power for the Dimensity 9200 with 25 percent less consumption compared to the Dimensity 9000. According to a first data sheet (PDF), the chip is manufactured in the "second generation" TSMC N4 alias N4P.
RAM changes to LPDDR5X-8533
For RAM, MediaTek goes from the dual interface that supports LPDDR5-6400 and LPDDR5X-7500 to LPDDR5X-8533, achieving a 14 percent higher bandwidth.
Immortalis-G715 supports hardware ray tracing
At the Tech Day, Arm also presented the Immortalis G715 as the company's first ray tracing GPU. Arm thus ranks behind developers such as Imagination Technologies with the CXT GPU and Samsung and AMD with the Xclipse 920 GPU based on RDNA 2. With the Immortalis-G715, Arm supports expansion stages with 10 to 16 shader cores, each of which has an RTU (Ray Tracing Unit) in its inner core for hardware-accelerated calculations of the bounding volume hierarchy.
More FPS with less consumption
MediaTek itself does not provide any information on the selected GPU configuration in the data sheet, but the note “MC11” can be found on the product page. This configuration was already in previous rumors. According to the previously published benchmarks, which were run with OpenGL ES 3.0 and 3.1 without ray tracing, the Immortalis-G715 MC11 should finish ahead of the current GPUs from Apple and Qualcomm. MediaTek itself names an increase of 32 percent with 41 percent less consumption for the GFXBench Manhattan 3.0.
For image output, MediaTek supports displays with Full HD+ at a maximum of 240 Hz, WQHD at up to 144 Hz and 5K or alternatively 2 × 2.5K at a maximum of 60 Hz - each with a dynamic refresh rate.
Dimensity 9200 is Wi-Fi 7 ready
Other features of the Dimensity 9200 include the image processor (ISP), which brings native support for RGBW sensors, videos in cinema mode, an unblur method and AI-based noise reduction. In terms of connectivity, MediaTek adorns itself with support for the new Wi-Fi 7 standard, which has not yet been fully adopted, as well as Bluetooth 5.3. A new 5G modem covers the sub-6 GHz and mmWave frequency ranges and supports dual SIM dual active.
As part of the "Dimensity Open Resource Architecture" (DORA) program, buyers of the chip can adapt it for market-specific local requirements.
www.computerbase.de
8.11.2022 11:11 Nicolas La Rocco
With the Dimensity 9200, MediaTek is the first provider of a flagship SoC that uses Arm's new CPU cores and their new ray-tracing GPU. The chip, manufactured in the second generation TSMC N4, is ahead of Qualcomm, who are planning an announcement for next week, and should appear in the first smartphones by the end of 2022.
The new top model from MediaTek is called Dimensity 9200 and replaces the previous flagships Dimensity 9000 and Dimensity 9000+ (test).
Faster and more economical thanks to TSMC N4P
The biggest innovation of the system-on-a-chip is the use of Arm's latest IP, which the company presented in June of this year. In the Dimensity 9200, a single Cortex-X3 with a maximum of 3.05 GHz works as the prime core, while three Cortex-A715 with up to 2.85 GHz the performance and four Cortex-A510 refresh with up to 1.8 GHz that Form efficiency clusters. ComputerBase's coverage of the Arm Tech Day provides all the details about the new editions.
Compared to US media such as Android Police, MediaTek specifies 10 to 12 percent more raw power for the Dimensity 9200 with 25 percent less consumption compared to the Dimensity 9000. According to a first data sheet (PDF), the chip is manufactured in the "second generation" TSMC N4 alias N4P.
RAM changes to LPDDR5X-8533
For RAM, MediaTek goes from the dual interface that supports LPDDR5-6400 and LPDDR5X-7500 to LPDDR5X-8533, achieving a 14 percent higher bandwidth.
Immortalis-G715 supports hardware ray tracing
At the Tech Day, Arm also presented the Immortalis G715 as the company's first ray tracing GPU. Arm thus ranks behind developers such as Imagination Technologies with the CXT GPU and Samsung and AMD with the Xclipse 920 GPU based on RDNA 2. With the Immortalis-G715, Arm supports expansion stages with 10 to 16 shader cores, each of which has an RTU (Ray Tracing Unit) in its inner core for hardware-accelerated calculations of the bounding volume hierarchy.
More FPS with less consumption
MediaTek itself does not provide any information on the selected GPU configuration in the data sheet, but the note “MC11” can be found on the product page. This configuration was already in previous rumors. According to the previously published benchmarks, which were run with OpenGL ES 3.0 and 3.1 without ray tracing, the Immortalis-G715 MC11 should finish ahead of the current GPUs from Apple and Qualcomm. MediaTek itself names an increase of 32 percent with 41 percent less consumption for the GFXBench Manhattan 3.0.
For image output, MediaTek supports displays with Full HD+ at a maximum of 240 Hz, WQHD at up to 144 Hz and 5K or alternatively 2 × 2.5K at a maximum of 60 Hz - each with a dynamic refresh rate.
Dimensity 9200 is Wi-Fi 7 ready
Other features of the Dimensity 9200 include the image processor (ISP), which brings native support for RGBW sensors, videos in cinema mode, an unblur method and AI-based noise reduction. In terms of connectivity, MediaTek adorns itself with support for the new Wi-Fi 7 standard, which has not yet been fully adopted, as well as Bluetooth 5.3. A new 5G modem covers the sub-6 GHz and mmWave frequency ranges and supports dual SIM dual active.
As part of the "Dimensity Open Resource Architecture" (DORA) program, buyers of the chip can adapt it for market-specific local requirements.
MediaTek: Dimensity 9200 bietet neue Arm-Kerne und Raytracing
Der Dimensity 9200 nutzt die neuen CPU-Kerne von Arm sowie deren neue Raytracing-GPU und soll Ende 2022 in ersten Smartphones erscheinen.
It s Japanese
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... and we're saying Mercedes is an EAP member?
So, apart from "Hey Mercedes" (BrainChip+SoundHound*?), there's Valeo LiDaR, radar, utrasound ... ?
Who does interior monitoring/gaze detection for Mercedes? nViso? Valeo?
Given Mercedes expressed preference for component standardization, you'd have to think that Valeo has the inside running.
* Re SoundHound: I don't think MB will throw the baby out with the bathwater, but the SoundHound Speech-to-Meaning capability can be vastly improved (5 to 10 times) by Akida. Swapping the SoundHound speech recognition function from CPU-based CNN to Akida SNN would provide such an instant improvement in response time and power saving.
https://www.soundhound.com/voice-ai...system-mbux-powered-by-houndify-9ab78a6f6fa4/
PS: @Bravo , I dips me lid to you.
Looking into the paradigm of growth (see pg. 12)it looks like 2023 would be the year of the commercialisation. This would be massive for brn too especially in 2024 where it looks like volume production starts. Wow!!!!View attachment 21546
MegaChips Quarter Results
IR Releases | MegaChips Corporation
We aim at sustainable growth through profitability and growth opportunity.www.megachips.co.jp
Why not?
alwaysgreen
Top 20
It would be amazing but I haven't seen anything that would allude to Google having incorporated Akida in their chip (Tensor 2).
That being said, the photo unblur feature is specific to Pixel 7 (which has Googles Tensor 2 chip as opposed to last years phone which has the Tensor 1 chip). So maybe Akida was implemented specifically in their new chip. I bought one in October so it will show as revenue in the half year report if it's the case.
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Thanks @Andi85
So my view is that if I was required to make an objective and logical prediction as to which mobile phone AKIDA will find its way into via MegaChips then Sony Xperia is the prime candidate.
Prophesee two lense sensor may make an appearance at the same time.
My opinion only DYOR
FF
AKIDA BALLISTA
alwaysgreen
Top 20
See below re Googles Tensor 2 chip. Forgive my lack of technical know how but it is a 4nm chip.My understanding is that Akida doesn't scale down to 4nm? Happy to be corrected.
Google Tensor G2: All the details on the Pixel 7's custom chipset
Google is hitting the custom silicon game hard! 🔥
www.androidpolice.com
Google Tensor G2: All the details on the Pixel 7's custom chipset
Google is hitting the custom silicon game hard! 🔥
www.androidpolice.com
Google Tensor G2 specifications
For those that want a table, here you go:| Dev board code name | Cloudripper |
|---|---|
| Model number | GS201, Tensor G2 |
| Cores | 2x super-big ARM Cortex-X1, 2x big A78, 4x small Cortex-A55 |
| GPU | Mali-G710 |
| Manufacturing node | 4nm Samsung PLP |
| Modem | Samsung Exynos 5300 5G |
The Tensor G2 keeps the 2+2+4 core cluster configuration that the original Tensor GS101 used, with two "super-big" cores, two more typical big cores, and four small cores. One thing that changes across generations is the frequency and one small tweak to the big clusters. The A76 cluster is replaced by an A78 cluster that's 100MHz faster at 2.35GHz. The other components remain the same, though. The X1 cluster has been bumped up by 50MHz, which gives it a frequency of 2.85GHz. This translates to a 10% to 15% better result in Geekbench, though you will be hard-pressed to notice much of this difference in real life.
Google has significantly upgraded the GPU, though. The Pixel 7 and 7 Pro are switching to the Mali-G710 GPU rather than the G78. That provides about 20% better performance and efficiency. The new GPU also helps the onboard machine-learning-focused TPU, giving it an up to 35% boost in applicable processes. The TPU is also seeing an upgrade.
The G2 is again paired with a Samsung-made modem, this time around, the Exynos S5300 5G. Mobile connectivity was poor on the Pixel 6 series and one of the biggest gripes many owners had with it. Based on initial reports from Pixel 7 owners, the situation is greatly improved with the new modem.
Overall, this small upgrade compared to the first-gen Tensor might be disappointing on paper, but it could make a lot of sense in the performance-to-power usage ratio. Newer processors are found to improve performance at the cost of energy consumption, so sticking with the older generation might leave more room for better efficiency. It also helps that Google has experience with this setup for a whole generation, making it simpler to optimize the system further. This is somewhat reminiscent of the company sticking with the same camera for multiple generations of Pixel phones, improving how the software interacts with the hardware with each iteration.
Thanks ag,See below re Googles Tensor 2 chip. Forgive my lack of technical know how but it is a 4nm chip.My understanding is that Akida doesn't scale down to 4nm? Happy to be corrected.
Google Tensor G2: All the details on the Pixel 7's custom chipset
Google is hitting the custom silicon game hard! 🔥Google Tensor G2 specifications
For those that want a table, here you go:
The Tensor G2 is made by Samsung on its 4nm node using panel-level packaging. This is a complicated way of saying the chips are carved out of a square wafer rather than a round one, reducing waste. This likely doesn't have much impact on the chip's performance in actual devices, but it's nifty and might reduce costs. Plus, it's potentially useful when we're still in the middle of a chip shortage.
Dev board code name Cloudripper Model number GS201, Tensor G2 Cores 2x super-big ARM Cortex-X1, 2x big A78, 4x small Cortex-A55 GPU Mali-G710 Manufacturing node 4nm Samsung PLP Modem Samsung Exynos 5300 5G
The Tensor G2 keeps the 2+2+4 core cluster configuration that the original Tensor GS101 used, with two "super-big" cores, two more typical big cores, and four small cores. One thing that changes across generations is the frequency and one small tweak to the big clusters. The A76 cluster is replaced by an A78 cluster that's 100MHz faster at 2.35GHz. The other components remain the same, though. The X1 cluster has been bumped up by 50MHz, which gives it a frequency of 2.85GHz. This translates to a 10% to 15% better result in Geekbench, though you will be hard-pressed to notice much of this difference in real life.
Google has significantly upgraded the GPU, though. The Pixel 7 and 7 Pro are switching to the Mali-G710 GPU rather than the G78. That provides about 20% better performance and efficiency. The new GPU also helps the onboard machine-learning-focused TPU, giving it an up to 35% boost in applicable processes. The TPU is also seeing an upgrade.
The G2 is again paired with a Samsung-made modem, this time around, the Exynos S5300 5G. Mobile connectivity was poor on the Pixel 6 series and one of the biggest gripes many owners had with it. Based on initial reports from Pixel 7 owners, the situation is greatly improved with the new modem.
Overall, this small upgrade compared to the first-gen Tensor might be disappointing on paper, but it could make a lot of sense in the performance-to-power usage ratio. Newer processors are found to improve performance at the cost of energy consumption, so sticking with the older generation might leave more room for better efficiency. It also helps that Google has experience with this setup for a whole generation, making it simpler to optimize the system further. This is somewhat reminiscent of the company sticking with the same camera for multiple generations of Pixel phones, improving how the software interacts with the hardware with each iteration.
My "Why not?" was really aspirational rather than based on any detailed information.
There is nothing stopping Akida being made in 4 nm aside from cost. A couple of years ago 4nm was still an embryonic tech, and quite risky, when there was no reason to adopt the latest tech for Akida. 28 nm was the proven reliable tech, so Anil chose it to be sure that no complications arose from the manufacturing process, as we were running on the smell of an oily rag and flying by the seat of our pants (is that why they called it the joy stick?) at the time. Also 28 nm is more radiation proof than 4 nm, so it would have been better for our NASA relations.
But back to google,
https://www.zdnet.com/article/how-to-use-photo-unblur-on-the-google-pixel-7-series/
The latest Google Photos feature, Photo Unblur, takes to artificial intelligence to scan previously-captured images and applies a sharpening filter that magically "unblurs" the subject(s).
This is quite different from the Sony/Prophesee system which combines a DVS image with a shuttered camera image to eliminate blur on the fly.
So google uses a post-capture software to unblur, while Sony/Prophesee use an on-the-fly hardware system.
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