#AI_applications

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https://electronicsbuzz.in/asrock-launches-intel-core-ultra-200s-for-edge-ai/

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A new board of directors is currently being formed Sam Altman will return to the post of CEO of OpenAI after a coup attempt and his removal from this position a few days ago. Former President Greg Brockman, who resigned in protest of Altman's ouster, will also return. The company said it has an "agreement in principle" to bring back Altman along with a new board of directors consisting of Bret Taylor, Larry Summers and Adam D'Angelo. D'Angelo was on the old board of directors that fired Altman on Friday. [caption id="attachment_84151" align="aligncenter" width="750"] OpenAI[/caption] Sam Altman to return as OpenAI CEO after controversial firing All key parties confirmed that they had reached an agreement. Altman said that “everything I have done over the past few days has been aimed at maintaining the unity of this team and its mission.” One of OpenAI's other major investors, Thrive Capital, called Altman's return "the best thing for the company, its employees, those who use its technology, and the world at large." “OpenAI has the potential to become one of the most influential companies in the history of computing,” said Thrive partner Kelly Sims. “Sam and Greg are deeply committed to company integrity and have an unmatched ability to inspire and lead. We are thrilled that they will be returning to the company they founded and helped build into what it is today.” It was previously reported that 96% of OpenAI employees signed a letter saying they could leave and join Sam Altman at Microsoft unless the startup's board resigns and brings back the ousted CEO along with co-founder and former president Greg Brockman.

[electronicsbuzz]

https://electronicsbuzz.in/asrocks-4x4-box-ai300-series-amd-ryzen-ai-power/

[electronicsbuzz]

https://electronicsbuzz.in/upmem-selects-semidynamics-risc-v-ai-ip-for-large-language-model-application/

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Eureka teaches more effectively than a human Well, the moment has come when artificial intelligence began to train robots. Nvidia has developed an AI agent called Eureka, which can teach robots complex motor skills. [caption id="attachment_72735" align="aligncenter" width="780"] artificial intelligence[/caption] For example, Eureka taught a robotic hand pen spinning—quickly juggling the handle with its fingers. Of course, a virtual model of the robotic arm was trained, but that doesn't matter. In total, Nvidia's AI agent taught the robots nearly 30 different tasks, including opening cabinet doors, throwing and catching a ball, and so on. Some of these actions may seem very simple, but this is only because we know how to do them automatically and without thinking. https://youtu.be/sDFAWnrCqKc Eureka relies on the GPT-4 language model. Training took place in the Nvidia Isaac Gym physics simulation application. Reinforcement learning has made impressive advances over the past decade, but many challenges still exist, such as reward design, which remains a trial-and-error process. Eureka is the first step towards developing new algorithms that combine generative and reinforcement learning techniques to solve complex problems Artificial intelligence has been created that trains robots. It is important to note that the efficiency of Nvidia's AI agent is very high. The press release said that Eureka's reward programs, which allow robots to learn through trial and error, outperform programs written by experts on more than 80% of tasks. This results in an average increase in bot performance of over 50%. The AI ​​agent uses the GPT-4 language model and generative AI to write code that rewards robots for reinforcement learning. It doesn't require task-specific prompts or predefined reward templates and easily incorporates people's feedback to change rewards to produce results that more closely align with the developer's vision. Using GPU-accelerated simulation in Isaac Gym, Eureka can quickly assess the quality of large batches of reward candidates for more efficient training. Eureka then compiles a summary of key statistics from the training results and instructs the language model to improve the generation of reward functions. Thus, AI improves itself. He has taught all kinds of robots - quadrupeds, bipeds, quadcopters, dexterous robots, manipulator cobots, and others - to perform a variety of tasks

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For example, she works at Stable Diffusion At the moment, artificial intelligence is practically not involved in Windows, except for the integration of the GPT language model. However, firstly, there are already AMD processors with a dedicated unit for working with AI, and similar ones are being prepared by Intel, secondly, according to rumors, Windows 12 will be built around AI. And now it is reported that ordinary users will get their hands on accelerators for AI from Nvidia, only in software form.  [caption id="attachment_71051" align="aligncenter" width="780"] Nvidia AI[/caption] The power of Nvidia AI accelerators is now on Windows. The company announced that its TensorRT-LLM library, which improves inference performance for the latest large AI language models, is now available for Windows. TensorRT-LLM allows you to significantly speed up your work with AI.   In particular, in Stable Diffusion in the popular web interface of the Auto1111 distribution, Nvidia's development speeds up AI by almost half. As a result, with this improvement, the RTX 4090 is seven times faster than the Apple M2 Ultra. This will only work on a GeForce RTX video card, but for Nvidia, this is quite logical. The company is thus “transforming” its gaming adapters into accelerators for AI.

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A new artificial intelligence-based system automatically detects and classifies supernovae without human intervention. This allows you to significantly speed up the process of studying supernova explosions and eliminate possible errors The Bright Transient Survey Bot (BTSbot) system, developed by an international project, automates the entire process of searching for new supernovae throughout the celestial sphere. This not only significantly speeds up the process of analyzing and classifying new candidates, but also eliminates human error. Over the past six years, people have spent about 2,200 hours visually assessing and classifying supernova candidates. Now, with an online tool, researchers will be able to redirect valuable time to other responsibilities to accelerate the pace of discovery. “For the first time, AI observed, then identified and interacted with the telescope to confirm the discovery of a supernova. This is an important step forward, as further improvements to the models will allow robots to identify specific subtypes of stellar flares. Removing human labor from this process gives the research team more time to analyze and develop new hypotheses to explain the origins of the observed outbreaks,” said Adam Miller of Northwestern University, who led the work. [caption id="attachment_68111" align="aligncenter" width="780"] artificial intelligence[/caption] BTSbot is an artificial intelligence that successfully detects and classifies supernovae “This greatly simplifies large supernova studies, helping us better understand the life cycles of stars and the origins of elements created by supernovae, such as carbon, iron, and gold,” added Nabil Rehemtullah of Northwestern University, who collaborated with Miller on the code. Today, humans work together with robotic systems to detect and analyze supernovae. First, robotic telescopes take pictures of the same areas of the sky over and over again, looking for new sources that were not present in previous images. Then, when telescopes discover a new object, people take matters into their own hands. “Automated software provides a list of flare candidates that humans screen and perform spectroscopic observations. We can only determine whether a candidate is truly a supernova by studying its spectrum, which reveals the elements present in it. There are robotic telescopes that can collect spectra, but this is often done by humans operating the spectrograph telescopes,” Miller said. The researchers developed BTSbot to remove the need for human intervention from this process. Rehemtullah trained a machine learning algorithm on more than 1.4 million historical images from nearly 16,000 sources, including verified supernovae, exploding variable stars, variable stars, and exploding galaxies.

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800 million rubles will go to small businesses Chairman of the Government of the Russian Federation Mikhail Mishustin said that the authorities have allocated additional funds for the development of artificial intelligence technologies. Most of the funds will go to grants to small businesses. “This year we will additionally allocate almost 1.2 billion rubles to support artificial intelligence. And the majority, about 800 million rubles, is earmarked for grants to small businesses - developers of products and services based on artificial intelligence,” said Mikhail Mishustin. This year, at least 16 companies should receive assistance, which will be able to use these funds to implement their solutions. [caption id="attachment_64660" align="aligncenter" width="600"] Artificial Intelligence[/caption] Mishustin confirmed the allocation of an additional billion for AI Another 250 billion rubles will be spent on the formation and updating of data sets in demand in commercial circulation from government systems, as well as the infrastructure for accessing them: “Such data sets can become the basis for machine learning for organizations in key sectors of the economy and contribute to their digital transformation because these organizations need to rely on high-quality and accessible data.” In addition, it is planned to finance a new wave of research centers in the field of artificial intelligence: “All this creates additional opportunities for launching new promising domestic solutions in such a significant sector, which is especially important in conditions of external pressure and for achieving technological independence.”

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The investor should be SoftBank, they want to involve Arm in the development OpenAI is in talks with former Apple designer Jony Ive and Japanese tech giant SoftBank to fund a $1 billion project to create "the iPhone of the world of artificial intelligence," the Financial Times reported on Thursday. OpenAI is trying to build on the success of ChatGPT, and Silicon Valley is looking for the next big hardware platform after the smartphone. OpenAI CEO Sam Altman tapped Quince's company LoveFrom to develop OpenAI's first consumer device. Three sources familiar with the matter told the Financial Times. Ive founded LoveFrom in 2019 after spending two decades at Apple, where he played a key role in developing some of the company's most influential devices, such as the iPhone and iPod. [caption id="attachment_61095" align="aligncenter" width="600"] artificial intelligence[/caption] iPhone in the world of artificial intelligence. Although the project is still in its early stages, the companies have discussed many potential projects in brainstorming sessions and hope to create something that will provide a "more natural and intuitive user experience for interacting with AI." They take inspiration from how the iPhone used the touchscreen to change the way we interact with the mobile Internet. SoftBank CEO Masayoshi Son is in talks with companies to invest more than $1 billion in the venture and is discussing creating a company that would leverage the talents and technology of the three firms. Son is also insisting that chip designer Arm, which is 90% owned by SoftBank, will play a central role in the project. The Financial Times writes that the talks are very "serious" but not final, warning that no deal has yet been agreed and that any formal announcement could be months away and the product will likely take years to reach the market.

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The data limit was lifted until September 2021 The American company OpenAI has announced the release of a useful update to its generative artificial intelligence system, ChatGPT. According to the official blog, ChatGPT can search the web for the latest information, suggesting answers from “relevant and authoritative” sources. [caption id="attachment_61013" align="aligncenter" width="780"] ChatGPT[/caption] The current update of the OpenAI chatbot: ChatGPT can now “Google” in real-time The search is performed in the Microsoft Bing search engine. After receiving a response from the network, the user can click on the link and check the information provided. The feature, called Browse with Bing, is currently only available to those with Plus and Enterprise subscriptions, but the company says it will soon make it available to "all users." As the developers note, OpenAI has lifted the temporary restriction on data - previously, ChatGPT users had access to the amount of information until September 2021. Now the ChatGPT search engine can freely search for the latest information. As a reminder, OpenAI added the ability to browse websites in its iOS app ChatGPT at the end of June 2023 but quickly removed it. The reason turned out to be that users quickly found a loophole - the chatbot can be “persuaded” to provide paid content by entering the full URL.

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There are 5 voiceover options to choose from The American company OpenAI has announced the release of a major update to its generative artificial intelligence system, ChatGPT. As reported in the official blog, the company has begun introducing new voice and graphical capabilities in ChatGPT, which will allow you to conduct a simple conversation by voice or show ChatGPT what you are talking about. [caption id="attachment_59958" align="aligncenter" width="780"] ChatGPT[/caption] Simply put, ChatGPT has learned to “understand” users’ voice requests, answer them “out loud,” and also recognize images shown to it by the user. A chatbot can conduct a dialogue out loud, tell a bedtime story suggest an argument in a family dispute, and understand and explain from a picture why the grill does not start, or what can be prepared from the food in the refrigerator. There are 5 voice acting options to choose from - 2 male voices, 2 female and one neutral. Big update to OpenAI chatbot: ChatGPT can now “see, hear and speak” [caption id="attachment_59959" align="aligncenter" width="318"] ChatGPT[/caption] The introduction of innovations has already begun. Support for voice communication and image recognition will be available gradually over two weeks for users of Plus and Enterprise subscriptions. Voice will appear in apps for iOS and Android (requires activation in settings), and image recognition will appear on all platforms.

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This will mainly affect white-collar workers Generative artificial intelligence will occupy more than 2 million jobs by the end of this decade in the United States alone. [caption id="attachment_54089" align="aligncenter" width="674"] Artificial intelligence[/caption] According to Forrester analysts, by 2030 AI will replace 2.4 million jobs in the United States, with white-collar workers, that is, office workers engaged in various types of mental work, being hit the hardest. At the same time, AI will impact 11 million jobs in one way or another. By the end of the decade, artificial intelligence will replace 2.4 million jobs in the United States Overall, automation and AI systems will replace 4.9% of jobs in the United States by 2030, and 30% of them will be generated by generative artificial intelligence systems. Already this year, such AI will replace about 90,000 jobs, and this will amount to 9.3% of all jobs that will be occupied by automation systems in one form or another. Analysts note that the higher the level of education a worker has, the greater the impact generative AI will have on his or her job. Wages will see a similar trend: workers who earn less than $60,000 a year will suffer less than those who earn $90,000 or more.