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The company already has a robot disinfector and a robot sommelier, but they are not like people Sberbank is planning to produce its own humanoid robots, Stanislav Kuznetsov, deputy chairman of the bank’s board of directors, told reporters about this during events dedicated to the opening of the Manzherok resort. He also noted that the company plans to become a leader in this area, despite the fact that Western companies are currently leading in this segment. [caption id="attachment_85251" align="aligncenter" width="780"] humanoid robots[/caption] “We are focused on leadership in this direction,” Sber is working on creating humanoid robots We confirm that Sberbank has developed its own anthropomorphic robots. Western companies are the first there now, but we are focused on leadership in this direction. Sberbank has its own Robotics Center, whose task is “to create robots and other cyber-physical systems using artificial intelligence to solve the business problems of Sber and its clients.” The bank has already presented a disinfectant robot for automatic disinfection of offices, medical institutions, hotels and other premises, as well as a sommelier robot, which is designed for the presentation and sale of wines. But these robots are not humanoid.

But you need two video cards Nvidia DLSS and AMD FSR upscalers have their own variants of frame generation technology, which work differently and are available on different video cards. But it turns out that these technologies can be made to work together. The authors from QuasarZone decided to check whether it would be possible to make the HR generation technologies of two companies work on one PC, and it turned out that it would work. But only in a very specific way, and the results are ambiguous. Frame generation technologies in Nvidia DLSS 3 and AMD FSR 3 forced to work […]

But you need two video cards Nvidia DLSS and AMD FSR upscalers have their own variants of frame generation technology, which work differently and are available on different video cards. But it turns out that these technologies can be made to work together. [caption id="attachment_85199" align="aligncenter" width="780"] Nvidia DLSS 3 and AMD FSR 3[/caption] The authors from QuasarZone decided to check whether it would be possible to make the HR generation technologies of two companies work on one PC, and it turned out that it would work. But only in a very specific way, and the results are ambiguous. [caption id="attachment_85200" align="aligncenter" width="780"] Nvidia DLSS 3 and AMD FSR 3[/caption] Frame generation technologies in Nvidia DLSS 3 and AMD FSR 3 forced to work together This all works thanks to the fact that AMD has an AFMF generator built into the driver, otherwise it probably would not have been possible to implement the idea. However, the system must still have two different 3D maps. In this case, the authors of the idea used the RTX 4090 and RX 6600. The game (in this case, several projects, including Cyberpunk 2077) was rendered on an RTX 4090 card. It also allowed DLSS 3 to be activated with frame generation. Next, the RX 6600, to which the monitor is connected, comes into operation. Technically it is used for image output, but the AMD driver allows you to improve performance through AFMF before outputting the image. That is, the AMD frame generator adds frames to a picture that the Nvidia generator had previously added frames to. At the same time, productivity increases greatly. Almost three times the original value and twice the value obtained after the generator in DLSS 3. This implementation, surprisingly, does not cause any special technical problems. Is it possible that the 1% Low indicator may even decrease in a number of games, although in Cyberpunk it has increased. In addition, it is worth remembering that AFMF technology turns off as soon as the player starts moving the camera quickly, but in quiet modes it automatically turns back on. Unfortunately, the authors did not pay attention to image quality, which is very important, given two technologies for completing frame drawing.

Jensen Huang expressed commitment to the Chinese market Nvidia CEO Jensen Huang believes that the United States is still far from independence in the semiconductor manufacturing market. According to Huang, it will be another 10 to 20 years before the United States stops being dependent on Taiwanese and Chinese chip makers. Of course, this is provided that all these years the country’s course will be aimed at getting rid of this very dependence. The head of Nvidia thinks so The United States has been working for quite some time to open chip production factories within the country, but it cannot be […]

Jensen Huang expressed commitment to the Chinese market Nvidia CEO Jensen Huang believes that the United States is still far from independence in the semiconductor manufacturing market. [caption id="attachment_85069" align="aligncenter" width="780"] Nvidia[/caption] According to Huang, it will be another 10 to 20 years before the United States stops being dependent on Taiwanese and Chinese chip makers. Of course, this is provided that all these years the country’s course will be aimed at getting rid of this very dependence. The head of Nvidia thinks so The United States has been working for quite some time to open chip production factories within the country, but it cannot be said that very many of these factories have already been built there. Huang also noted that, despite US sanctions, Nvidia will continue to work with the Chinese market, as it is simply the largest. Let us remind you that yesterday it became known that instead of the banned RTX 4090, the company will create GeForce RTX 4090 D (Dragon) especially for China .

#Artificial_Intelligence.#computer_hardware #CUDA_cores #data_centers #deep_learning #Gaming #Gaming_Graphics #GPU #GPU_architecture #graphics_cards #graphics_processing_unit #graphics_technology #nvidia #nvidia_geforce #Nvidia_Quadro #Nvidia_Titan #technology_company

In monetary terms Nvidia is today’s largest semiconductor manufacturer based on revenue and profit. We already talked about this the other day, and now another visual graph has appeared demonstrating the rapid success of the company. This is a graph of the revenue of data center chip companies. As you can see, Nvidia became the first here too, with a huge gap from its competitors, and the turning point occurred only at the beginning of this year. Nvidia is turning into a monster. Before this, for several years (actually much longer, this data is just not on the graph), the leader was Intel, which […]

In monetary terms Nvidia is today's largest semiconductor manufacturer based on revenue and profit. We already talked about this the other day, and now another visual graph has appeared demonstrating the rapid success of the company. [caption id="attachment_84806" align="aligncenter" width="780"] Nvidia[/caption] This is a graph of the revenue of data center chip companies. As you can see, Nvidia became the first here too, with a huge gap from its competitors, and the turning point occurred only at the beginning of this year. Nvidia is turning into a monster. Before this, for several years (actually much longer, this data is just not on the graph), the leader was Intel, which accounted for 45% to 60% of revenue or more. At the same time, Intel's share gradually decreased, while the shares of Nvidia and AMD, on the contrary, grew. However, in 2023, due to the AI boom, Nvidia's share rose sharply, while the shares of AMD and Intel fell sharply. This does not mean that companies began to earn less - AMD is actively increasing sales of server CPUs, but Nvidia's growth is so great that the shares of AMD and Intel have actually decreased. [caption id="attachment_84807" align="aligncenter" width="780"] Nvidia[/caption] Today we already said that in the last quarter alone, Nvidia sold about half a million H100 and A100 accelerators and sales will only grow in the near future.

The largest customers bought 150,000 H100 adapters each In recent months, we’ve seen a lot of news about how Nvidia is selling its AI accelerators left and right, especially the most powerful H100. But only now has it become known how many of these adapters were actually sold. According to Omdia, Nvidia managed to sell almost half a million H100 and A100 accelerators in the third quarter alone. There is no data on the sales ratio of these models, but probably the main emphasis now is on the H100. Nvidia sells half a million H100 and A100 accelerators per quarter In the […]

The largest customers bought 150,000 H100 adapters each In recent months, we've seen a lot of news about how Nvidia is selling its AI accelerators left and right, especially the most powerful H100. But only now has it become known how many of these adapters were actually sold. [caption id="attachment_84778" align="aligncenter" width="780"] Nvidia[/caption] According to Omdia, Nvidia managed to sell almost half a million H100 and A100 accelerators in the third quarter alone. There is no data on the sales ratio of these models, but probably the main emphasis now is on the H100. Nvidia sells half a million H100 and A100 accelerators per quarter In the current quarter, analysts expect that Nvidia will be able to sell more than half a million of these accelerators. If you look at the chart only for the H100, you can see that by the end of the entire current year, Nvidia is expected to supply about 650,000 of these adapters to its largest customers alone. [caption id="attachment_84779" align="aligncenter" width="780"] Nvidia[/caption] Moreover, the demand is so great that now the waiting time for deliveries reaches 52 weeks, that is, a whole year! You can also see that the largest buyers of the H100 are Microsoft and Meta*, each of which purchased approximately three times as many accelerators as its closest competitors such as Google, Amazon, Oracle and Tencent. * The Meta company is recognized as extremist in Russia and is banned.

Earlier, OpenAI announced a temporary suspension of registration of users of the paid subscription ChatGPT Plus While the public is excitedly watching the unfolding drama with the dismissal and return of Sam Altman, the OpenAI team made a pleasant announcement for its fans. As reported in the OpenAI blog, the ChatGPT Voice service has become available free of charge to all users. [caption id="attachment_84350" align="aligncenter" width="780"] ChatGPT Voice[/caption] ChatGPT Voice has become available to everyone for free OpenAI explains: Download the app on your phone and tap the headphones icon to start a conversation. It's worth noting that ChatGPT Voice itself is nothing new. The service has been running since September 2023 and offers a truly enjoyable experience with artificial intelligence. This is in many ways similar to a conversation with a virtual assistant, but the communication takes place in a more “live” format. However, until now, ChatGPT Voice was only available to paid subscription users. And now users of the ChatGPT app for iOS and Android will be able to use this feature without any problems, even without a paid subscription

#Artificial_Intelligence.#ChatGPT_Voice #language_model #natural_language_processing #openai #text_to_speech #virtual_assistant #voice_synthesis

Accelerators for AI Nvidia has published a report on the results of the third quarter of the 2024 financial year. As expected, the next quarter was very successful for the company. Revenue rose to a company record of $18.12 billion, which is three times more than a year ago! Operating profit increased by 1633%, to $10.4 billion, and net profit grew by 1259%, while net profit itself was $9.24 billion. Is Nvidia no longer a gaming graphics card company? Of course, such a breakthrough is due almost entirely to computational accelerators. This is clearly seen in the report: the Data Center division brought […]

Accelerators for AI Nvidia has published a report on the results of the third quarter of the 2024 financial year. As expected, the next quarter was very successful for the company. [caption id="attachment_84342" align="aligncenter" width="780"] Nvidia[/caption] Revenue rose to a company record of $18.12 billion, which is three times more than a year ago! Operating profit increased by 1633%, to $10.4 billion, and net profit grew by 1259%, while net profit itself was $9.24 billion. Is Nvidia no longer a gaming graphics card company? Of course, such a breakthrough is due almost entirely to computational accelerators. This is clearly seen in the report: the Data Center division brought the company $14.5 billion, while the gaming division brought in only $2.9 billion. [caption id="attachment_84343" align="aligncenter" width="780"] Nvidia[/caption] Moreover, revenue from sales of gaming solutions for the year, of course, grew well, but we are still talking about 55%, while the DC division showed an almost fourfold increase.

#Artificial_Intelligence.#computing #data_centers #Gaming #GPUs #graphics_cards #nvidia #semiconductor_industry

To editors, mail service and more The creators of the MyOffice software integrated Sberbank’s GigaChat generative neural network into the ecosystem. This was reported by the company’s press service at the international conference AI Journey 2023. [caption id="attachment_84301" align="aligncenter" width="780"] GigaChat chatbot[/caption] The GigaChat chatbot from Sber was introduced into the MyOffice package The GigaChat chatbot is integrated into the MyOffice Standard document editors, Mailion corporate email and the Squadus digital workspace. The press service said: The use of GigaChat in the Mailion mail system will allow you to analyze email chains and provide the ability to draw up a checklist based on its results. The tool will help you create a short summary of what is stated in the email chain, identify the tasks that need to be completed, and distribute roles in the team. In editors, GigaChat will allow you to generate text, prepare templates for answers, and so on. Also based on GigaChat, a proprietary assistant “MyDay” is being developed - a single taskbar based on the user’s documents, letters and calendar. The general director of the company, Pavel Kalyakin, said: MyOffice sees great potential in the use of neural network models such as GigaChat. MyOffice's research in the field of artificial intelligence technologies is aimed at optimizing business processes and reducing the time spent by a typical office software user.

#AI_chat_application.#Artificial_Intelligence.#chatbot #Communication_Technology #conversational_AI #GigaChat #natural_language_processing #virtual_assistant

But you need two video cards Nvidia DLSS and AMD FSR upscalers have their own variants of frame generation technology, which work differently and are available on different video cards. But it turns out that these technologies can be made to work together. The authors from QuasarZone decided to check whether it would be possible to make the HR generation technologies of two companies work on one PC, and it turned out that it would work. But only in a very specific way, and the results are ambiguous. Frame generation technologies in Nvidia DLSS 3 and AMD FSR 3 forced to work […]

But you need two video cards Nvidia DLSS and AMD FSR upscalers have their own variants of frame generation technology, which work differently and are available on different video cards. But it turns out that these technologies can be made to work together. [caption id="attachment_85199" align="aligncenter" width="780"] Nvidia DLSS 3 and AMD FSR 3[/caption] The authors from QuasarZone decided to check whether it would be possible to make the HR generation technologies of two companies work on one PC, and it turned out that it would work. But only in a very specific way, and the results are ambiguous. [caption id="attachment_85200" align="aligncenter" width="780"] Nvidia DLSS 3 and AMD FSR 3[/caption] Frame generation technologies in Nvidia DLSS 3 and AMD FSR 3 forced to work together This all works thanks to the fact that AMD has an AFMF generator built into the driver, otherwise it probably would not have been possible to implement the idea. However, the system must still have two different 3D maps. In this case, the authors of the idea used the RTX 4090 and RX 6600. The game (in this case, several projects, including Cyberpunk 2077) was rendered on an RTX 4090 card. It also allowed DLSS 3 to be activated with frame generation. Next, the RX 6600, to which the monitor is connected, comes into operation. Technically it is used for image output, but the AMD driver allows you to improve performance through AFMF before outputting the image. That is, the AMD frame generator adds frames to a picture that the Nvidia generator had previously added frames to. At the same time, productivity increases greatly. Almost three times the original value and twice the value obtained after the generator in DLSS 3. This implementation, surprisingly, does not cause any special technical problems. Is it possible that the 1% Low indicator may even decrease in a number of games, although in Cyberpunk it has increased. In addition, it is worth remembering that AFMF technology turns off as soon as the player starts moving the camera quickly, but in quiet modes it automatically turns back on. Unfortunately, the authors did not pay attention to image quality, which is very important, given two technologies for completing frame drawing.

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