Latest news with #GigaChat
Techday NZ
07-08-2025
- Health
- Techday NZ
GigaChat AI assistant achieves 93% accuracy in medical diagnoses
SberHealth's GigaChat-powered artificial intelligence assistant has demonstrated a diagnostic accuracy rate of 93% during recent tests conducted by the Artificial Intelligence Research Institute (AIRI). The experiment involved the AI healthcare assistant, which is based on the GigaChat neural network model, diagnosing 30 real clinical cases that were randomly selected from the New England Journal of Medicine. These cases varied in complexity, and the testing methodology used was similar to an experiment conducted by Microsoft to verify its own AI diagnostic orchestrator, MAI-DxO. According to AIRI, the SberHealth system established correct diagnoses in 28 out of 30 cases, while a comparable foreign solution recorded an 85% accuracy rate. The AI assistant operated with limited initial data, receiving only the patient's gender, age and symptoms before interacting through simulated doctor-patient dialogues. It followed a sequence of requesting additional clinical tests, imaging, or consultation information as needed to make diagnoses. The median number of dialogue turns between the AI and the simulated patient was three, indicating a relatively high speed of decision-making. Sergey Zhdanov, Director of the Healthcare Industry Centre at Sberbank, said: "The experiment demonstrated that our technology is not only competitive but also sets new standards in medical diagnostics worldwide. We observe how multi-agent architecture speeds up and enhances the diagnostic process. It's particularly important that the system exhibits flexibility: it revises hypotheses, requests additional data, and even responds to the emotional presentation of clinical scenarios. In the future, this opens up opportunities for interdisciplinary care teams, with AI serving as a reliable assistant to physicians." During the experiment, each clinical case was labelled by level of difficulty. The AI system was able to successfully identify and diagnose several rare conditions, including Whipple disease, which it recognised in one step, aceruloplasminemia, identified in six moves, and rasburicase-induced methemoglobinemia. The assistant's performance was characterised by several features, according to researchers. It typically completed diagnoses in three moves, deployed logical reasoning, and handled both rare and complex pathologies. The system was also noted for its ability to blend clinical accuracy with a dialogue logic that could adapt effectively to different presentation styles, which included effectively responding to emotional cues in simulated scenarios. Ivan Oseledets, Chief Executive Officer of AIRI, commented: "Today, multi-agent systems are capable of confidently identifying rare, masked pathologies that go beyond typical emergency department algorithms. Can a medical AI assistant adjust its hypothesis in time, discarding the most probable but incorrect pathway? The AI assistant proved it could, doing so faster than anticipated by a seasoned observer with 15 years of medical experience." The researchers at AIRI described the experiment as exploratory and indicated that further development is planned. They have proposed expanding the sample size by incorporating additional cases from other medical journals to investigate the capabilities of the assistant more widely. The system's potential uses were not limited solely to practical medicine but also extended to the area of physician training, where it could offer realistic simulations of complex clinical cases. The GigaChat-based assistant is a product of cooperation between AIRI and SberMedAI. Since its introduction, it has been piloted in the SberHealth app and has already been used over 160,000 times in real conditions to assist people seeking medical support. Follow us on: Share on:
Al-Ahram Weekly
25-06-2025
- Entertainment
- Al-Ahram Weekly
Mariinsky Theatre premieres world's first opera made with help of AI - Sponsored
Within the framework of the St. Petersburg International Economic Forum (SPIEF), the Mariinsky Theatre hosted the premiere of the mystic opera Mandragora on the New Stage, the first musical performance in the world to be completed with the use of neural network technologies. Based on the idea of Peter Tchaikovsky and Sergey Rachinsky, the work was recreated and completed by Peter Dranga and neural networks from Sberbank. The libretto was finalized by GigaChat, the musical fabric by SymFormer, and Kandinsky created visual and scenic solutions. All artificial intelligence solutions were implemented under artistic control and with deep respect for the style of the era. German Gref, President, Chairman of the Management Board of Sberbank: "Mandragora is a collaboration between a large number of people: our wonderful musician and composer Peter Dranga, the brilliant maestro Valery Gergiev and, of course, the artists of the Mariinsky Theatre. And all this is implemented together with artificial intelligence, which saves a huge amount of time. Imagine how long it takes to arrange a score for a large symphony orchestra. This is not the composers' favorite work, because it takes up years of their lives. And thanks to artificial intelligence, a person can focus on creativity — the realization of what is inside him. And artificial intelligence can be a very powerful helper and inspiration." Pеter Dranga, composer, Merited Artist of the Russian Federation: "We have a very interesting story of interaction, when artificial intelligence offers options, helps to refine, speeds up the process and makes it even more interesting. And this is by no means a competition, but an absolute collaboration. I think it will help us all a lot in the future. And our opera should change not only our characters, but also everyone around who watched it. Because people always do certain things in the name of something. They are growing spiritually. The opera is about that. And everything happens inside the head that you will see on stage. This is the personification of Mandragora herself." The performance involved more than 170 artists, including the Grand Symphony Orchestra and soloists. The central scenic image is a giant head, inside which fantastic worlds unfold with the help of video mapping. Follow us on: Facebook Instagram Whatsapp Short link:
Techday NZ
24-06-2025
- Entertainment
- Techday NZ
Artificial intelligence helps create world's first opera at Mariinsky
The Mariinsky Theatre in St. Petersburg has staged the world's first opera created with the assistance of artificial intelligence, premiering the mystical work Mandragora as part of the Stars of the White Nights Music Festival. Opera and technology The performance marks a milestone in the intersection of art and technology, with the opera being based on an original concept by Peter Tchaikovsky and Sergey Rachinsky. The work was completed through the combined efforts of composer Peter Dranga and neural networks developed by Sberbank. Artificial intelligence systems played a role throughout the creative process: GigaChat finalised the libretto, SymFormer contributed to the musical composition, and Kandinsky provided the visual and scenic design. All technological contributions were overseen to maintain adherence to the intended artistic style. The premiere of Mandragora was scheduled to coincide with the 185th anniversary of Tchaikovsky's birth. The opera's unveiling in St. Petersburg holds particular significance, given that the city is where Tchaikovsky lived and worked, and where the original production was intended to be staged. The production is now set to become part of the Mariinsky Theatre's official repertoire for the 2025-2026 season. Collaboration and creative control German Gref, President and Chairman of the Management Board at Sberbank, reflected on the collaborative nature of the opera's creation and the advantages of integrating AI technologies into artistic projects. Mandragora is a collaboration between a large number of people: our wonderful musician and composer Peter Dranga, the brilliant maestro Valery Gergiev and, of course, the artists of the Mariinsky Theatre. And all this is implemented together with artificial intelligence, which saves a huge amount of time. Imagine how long it takes to arrange a score for a large symphony orchestra. This is not the composers' favorite work, because it takes up years of their lives. And thanks to artificial intelligence, a person can focus on creativity — the realisation of what is inside him. And artificial intelligence can be a very powerful helper and inspiration. The conductor, Artistic Director, and General Director of the Mariinsky and Bolshoi Theatres, Valery Gergiev, commented on the balance between human creativity and technological innovation in the staging of the opera. Today, we have a determined attempt with our great friends from Sberbank to make a new stage version, featuring not only human talent, but also artificial intelligence. Recently, the latest technologies have been performing on the stages of world theaters, including Russia. An incredible number of interesting things has already been done in the world, and in the world of opera and ballet, using new technologies for real without breaking the natural connection with the creative work on which it is superimposed is the most difficult thing. We hope that our bold move will be received with interest. Composer and Merited Artist of the Russian Federation, Peter Dranga, described the collaborative process and emphasised the spirit of cooperation between human and artificial intelligence in developing the piece. "We have a very interesting story of interaction, when artificial intelligence offers options, helps to refine, speeds up the process and makes it even more interesting. And this is by no means a competition, but an absolute collaboration. I think it will help us all a lot in the future. And our opera should change not only our characters, but also everyone around who watched it. Because people always do certain things in the name of something. They are growing spiritually. The opera is about that. And everything happens inside the head that you will see on stage. This is the personification of Mandragora herself." International production The debut of Mandragora comprised more than 170 artists, featuring the Grand Symphony Orchestra and celebrated soloists. The stage design centred around a giant head, serving as a canvas for video mapping and the presentation of imaginative visual worlds. Direction was led by Ilya Ustyantsev, with costumes by Sergey Novikov and set design by Alexander Kudryavtsev. Other contributors included Alexander Sivaev for lighting, Murad Ibatullin for 3D graphics, Boris Tsibisov for mapping, and Maxim Kozlov as head of production. The project is international in scope, involving soloists, choirs, and orchestras who frequently perform on prominent stages throughout Europe and Asia. Alina Chertash and Vasily Ladyuk, both acclaimed and decorated in international competitions, performed the lead roles. Oversight for the production's technological and promotional aspects was provided by Sber Metaverse Tech and Sber Marketing, respectively.
Reuters
18-06-2025
- Business
- Reuters
Russia's Sberbank plans to unveil LLM with reasoning capacity
ST PETERSBURG, June 18 (Reuters) - Russia's largest lender, Sberbank, plans to unveil a version of its Gigachat large language model (LLM) with reasoning capabilities, First Deputy CEO Alexander Vedyakhin told Reuters in an interview. "In the near future, we will release a new model. Our GigaChat will have reasoning functions, meaning it will be capable of scientific research," Vedyakhin said. "I am already testing the beta version." Such models are capable of reasoning through complex tasks and can solve more challenging problems than previous models in areas such as science, coding, and math. Global market leader OpenAI launched its reasoning LLM last September. Vedyakhin said Russia still lags behind AI leaders the United States and China by six to nine months, but language adaptation, stable performance, and the use of domestic cloud servers make Sberbank's GigaChat a preferred model for Russian corporate clients. Vedyakhin said that around 15,000 companies in Russia are already using Sberbank's GigaChat. Yandex, Sberbank's main domestic rival in artificial intelligence, said in May that its search engine now had reasoning functionality.
Yahoo
07-02-2025
- Business
- Yahoo
Advanced Micro Devices (AMD) – AI Growth Slowdown Sparks Downgrade
We recently published a list of . In this article, we are going to take a look at where Advanced Micro Devices, Inc. (NASDAQ:AMD) stands against other must-watch AI stocks dominating headlines. The artificial intelligence story continues to grow more compelling with each passing day. In the latest news, a top executive at Russia's biggest bank told Reuters that Sberbank is planning to collaborate with Chinese researchers on joint AI projects. The emergence of DeepSeek has already sparked a rout in the artificial intelligence world owing to its acclaimed cheap and efficient AI models. Ever since its emergence, the race towards AI supremacy has taken on a new turn. READ ALSO: and Russia and China have reportedly been sharing a 'no limits' strategic partnership. They have talked about cooperation in AI but nothing ever came to public knowledge before this. Sberbank, a Russian banking and financial services company headed by CEO German Gref, has since transformed itself from a former state savings bank into one of the country's leading players in artificial intelligence. The company released its GigaChat model in 2023. 'Sberbank has many scientists. Through them, we plan to conduct joint research projects with researchers from China'. Vedyakhin did not specify who the bank plans to collaborate with, in China. Regardless, a potential partnership between Russia and China over the development of AI is in the works and will be seen as a major threat to the West. This is particularly for the US which is doing everything in its power to acclaim AI supremacy. Putin has directed Sberbank to build cooperation with China and other BRICS nations in AI to encounter U.S. dominance. Similar to China, the country is currently struggling to develop domestic computing capacity as a result of sanctions restricting imports of innovations from the West. Discussing DeepSeek, Vedyakhin has noted that since the launch of its models, Sberbank has compared them to GigaChat MAX, its most advanced model. The comparison has led them to the conclusion that the Chinese rival was superior in scientific tasks, while GigaChat was on par or better in banking. 'DeepSeek has proven that even with reduced capabilities, it is possible to achieve quality on par with American models. This raises questions about the necessity of extreme investments when there are engineering innovations'. For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds. Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter's strategy selects 14 small-cap and large-cap stocks every quarter and has returned 275% since May 2014, beating its benchmark by 150 percentage points (). A close up of a complex looking PCB board with several intergrated semiconductor Micro Devices, Inc. (NASDAQ:AMD) develops semiconductors, providing processors and graphics technologies for gaming, data centers, and AI-driven high-performance computing. On February 5th, Citi analyst Christopher Danely downgraded the stock to 'Neutral' from Buy with a price target of $110, down from $175. The analyst told investors in a research note that the company reported 'decent' results propelled by higher central processing unit sales. The company didn't provide an AI revenue guidance, and it seems that its AI revenue is flat to down for the first half of 2025 with margin dilution. The firm also said that there could be an inventory build in CPUs due to the growth of Advanced Micro Devices (NASDAQ:AMD) and Intel (NASDAQ:INTC) CPUs in Q4. Due to this reason, it has lowered its estimates and downgraded the stock. 'We downgrade AMD from Buy to Neutral given slowing AI growth (lower multiple), poor leverage, and risk of an inventory correction'. Overall, AMD ranks 6th on our list of must-watch AI stocks dominating headlines. While we acknowledge the potential of AMD as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than AMD but that trades at less than 5 times its earnings, check out our report about the . READ NEXT: 20 Best AI Stocks To Buy Now and Complete List of 59 AI Companies Under $2 Billion in Market Cap Disclosure: None. This article is originally published at Insider Monkey. Sign in to access your portfolio
