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#viral #shorts #short #latestnews #technology #aitechnology #ai #2023 #artificialintelligence #2050 #machinelearning #ml #nlp #deeplearning #robotics #computervision #everyone Artificial Intelligence (AI) can be categorized into several types based on their functionality, capabilities, and applications. Here are some of the most common categories of AI: 1. Rule-based AI: Rule-based AI, also known as expert systems, is designed to emulate the decision-making abilities of a human expert in a specific domain. It uses a set of predefined rules and logical deductions to arrive at conclusions. 2. Machine Learning (ML): Machine learning is a type of AI that allows machines to learn from data and improve their performance without being explicitly programmed. It is based on algorithms that can identify patterns and relationships in data and use them to make predictions or decisions. 3. Deep Learning (DL): Deep learning is a type of machine learning that uses artificial neural networks (ANNs) to process and analyze large amounts of data. It is particularly effective at tasks that involve pattern recognition, such as image and speech recognition. 4. Natural Language Processing (NLP): NLP is a type of AI that allows machines to understand and interpret human language. It is used in applications such as language translation, chatbots, and voice assistants. 5. Robotics: Robotics is a type of AI that involves the creation of machines that can perform tasks autonomously or with minimal human supervision. It is used in applications such as manufacturing, healthcare, and exploration. 6. Cognitive Computing: Cognitive computing is a type of AI that aims to emulate the human thought process, including reasoning, learning, and problem-solving. It combines various AI technologies, such as NLP, machine learning, and computer vision, to create intelligent systems that can interact with humans in a natural way. 7. Computer Vision: Computer vision is a type of AI that enables machines to interpret and understand visual data from the world around them. It is used in applications such as image recognition, object detection, and autonomous vehicles. Liking our videos is a great way to show your support and let us know that you're enjoying the content we create. Sharing our videos on your social media platforms is a fantastic way to help us reach a wider audience and connect with more people who might be interested in what we have to offer. Finally, subscribing to our channel is the best way to stay up-to-date with our latest videos and content. You'll never miss out on a new upload, and you'll be part of a community that shares your interests and passions.

#technology #science #aitechnology #ai #viral #shortvideo #latestnews #truthgpt #chatgpt #openai #latest #artificialintelligence #google #microsoft #tesla #twitter #elonmusk #spacex #space Elon Musk reportedly planning to launch AI rival to ChatGPT maker Elon Musk plans artificial intelligence start-up to rival OpenAI TIMESTAMPS: 00:00 Intro 00:43 X.AI Formation 00:59 Name of Twitter Changed to XCorp 01:09 GPU Processors Technology 02:02 Criticism on OpenAI 02:29 Truthgpt New AI Venture ► Subscribe: / @AIFuture007 Elon Musk seeks to hire engineers, attract investors and acquire chips needed to build large language model. He is developing plans to launch a new artificial intelligence start-up to compete with ChatGPT-maker OpenAI, as the billionaire seeks to join Silicon Valley’s race to build generative AI systems. The Tesla and Twitter chief is assembling a team of artificial intelligence researchers and engineers, said people familiar with the tech entrepreneur’s plans. Musk is also in discussions with a number of investors in SpaceX and Tesla about putting money into his new venture, said a person with direct knowledge of the talks. “A bunch of people are investing in it . . . it’s real and they are excited about it,” the person said. Musk incorporated a company named X.AI on March 9, according to Nevada business records. He is the company’s only director, its secretary is listed as Jared Birchall, the ex-Morgan Stanley banker who manages Musk’s wealth. Musk recently changed the name of Twitter to X Corp in company filings, as part of his plans to create an “everything app” under the brand “X”. For the new project, Musk has secured thousands of high-powered GPU processors from Nvidia, said people with knowledge of the move. GPUs are the high-end chips required for his aim to build a large language model — AI systems capable of ingesting enormous amounts of content and producing humanlike writing or realistic imagery, similar to the technology that powers ChatGPT. The speed with which Musk is moving will raise eyebrows in some corners of the AI community after he led a letter, cosigned by thousands of other tech figures, calling for a pause on development of GPT-style models over safety concerns. The billionaire’s potential entry to the hot generative AI market will add yet another venture to his diverse portfolio of responsibilities and investments. This includes running Twitter and Tesla, as well as founding SpaceX, his $137bn rocket maker, Neuralink, a neurotechnology researcher, and The Boring Company, a tunnelling start-up. Musk is recruiting engineers from top AI labs including DeepMind, according to those with knowledge of his plans, who said he began to explore the idea of a rival company earlier this year in response to the rapid progress of OpenAI. Musk has brought on Igor Babuschkin, a former DeepMind employee, and roughly half a dozen other engineers. The Information previously reported Babuschkin’s early talks with Musk. The new company would allow Musk to take on OpenAI, the Microsoft-backed group that he co-founded in 2015. He left the board three years later amid clashes with its management, including over attitudes to AI safety, according to two people who were involved in OpenAI at the time. Shortly afterwards, the organisation morphed into a for-profit start-up and raised a $1bn investment from Microsoft. Since then, Musk has become increasingly vocal in his fears of broader existential threats from AI systems. He has also publicly criticised OpenAI for becoming, in his view, less transparent and too commercially minded in its pursuit of advanced AI. Musk is particularly concerned about the threat of models such as GPT-4, OpenAI’s latest release, to spew falsehoods and show political bias. During a Twitter Spaces interview this week, Musk was asked about a Business Insider report that Twitter had bought as many as 10,000 Nvidia GPUs, “It seems like everyone and their dog is buying GPUs at this point,” Musk said. “Twitter and Tesla are certainly buying GPUs.” People familiar with Musk’s thinking say his new AI venture is separate from his other companies, though it could use Twitter content as data to train its language model and tap Tesla for computing resources. When Musk left OpenAI in 2018, the public explanation for the split was that he wanted to focus on Tesla, which was also investing heavily in AI. Liking our videos is a great way to show your support and let us know that you're enjoying the content we create. Sharing our videos on your social media platforms is a fantastic way to help us reach a wider audience and connect with more people who might be interested in what we have to offer. Finally, subscribing to our channel is the best way to stay up-to-date with our latest videos and content. You'll never miss out on a new upload, and you'll be part of a community that shares your interests and passions.

#technology #latestnews #tesla #space #elonmusk #innovation #viral #viralvideo #shorts #short #trending Tesla, the electric car maker, has announced price hikes in several markets, including the U.S. and China, following several cuts earlier this year. The price increases are attributed to the rising costs of raw materials and the ongoing global chip shortage, which has impacted the auto industry. KEY POINTS * Tesla increased the price of vehicles including its Model 3 and Model Y in the U.S., China, Canada, and Japan. * In China, Tesla’s Model 3 now costs 231,900 Chinese yuan ($33,549.86), up from the previous price of 229,900 yuan, according to the company’s website. * In the U.S., the Model 3 and Model Y series of cars now cost $250 more. The Model 3 starts at $40,240, while the Model Y is priced at $47,240. * However, the price of Tesla’s vehicles remains lower than at the start of the year due to several rounds of price cuts across the world. Tesla hiked the price of several cars in key markets, including the U.S. and China, after a number of cuts this year. Elon Musk’s electric vehicle company increased the price of vehicles including its Model 3 and Model Y in the U.S., China, Canada, and Japan. In China, Tesla’s Model 3 now costs 231,900 Chinese yuan ($33,549), up from the previous price of 229,900 yuan, according to the company’s website Tuesday. The Model Y is also 2,000 yuan higher at 263,900 yuan, while the long-range and performance editions of the car are also priced 2,000 yuan higher. In the U.S., the Model 3 and Model Y series of cars now cost $250 more. The Model 3 starts at $40,240, while the Model Y is priced at $47,240. Tesla also hiked the price of some of its cars in Japan and Canada. Despite the rises, the price of Tesla’s vehicles remains lower than at the start of the year due to several rounds of price cuts across the world, including in China and Europe, in an effort to stoke demand. Tesla CEO Musk signaled in April on an earnings call that the automaker will be targeting larger volumes of sales versus higher margins but said he expects the company “over time will be able to generate significant profit through autonomy.” Tesla adjusts its prices frequently to react to market conditions. Other electric carmakers are watching Tesla’s pricing strategy closely, with some analysts suggesting the U.S. firm has sparked a price war with its cuts. Not all automakers are being drawn into price cuts, however. William Li, CEO of Chinese upstart Nio, told CNBC last month that the company will keep its prices high. Tesla’s price reductions this year have come amid an uncertain macroeconomic environment and concerns that consumers will cut back on large ticket purchases like cars. But Tesla is also facing heightened competition from traditional automakers like Ford in the U.S., and EV companies like Nio, Xpeng and Warren Buffet-backed BYD in China. Conclusion: Tesla's recent price hikes in the U.S., China, and other markets reflect the ongoing challenges faced by the auto industry, particularly the impact of rising raw material costs and the global chip shortage. However, Tesla remains committed to making its cars more affordable over time and investing in increasing its production capacity and developing new technologies to stay ahead of the competition.

#latestnews #technology #science #ai #aitechnology #viral #reels #shorts #shortvideo When historians look back on this year, events like the collapse of Liz Truss’s government and the congressional investigation into the Jan. 6, 2021 attack on the US Capitol may arguably pale in comparison to what the Biden administration announced on Oct. 7. At least that’s what Lawrence Summers said. Speaking about the powerful wave of US restrictions on China’s semiconductor industry and its technological ambitions more broadly, the former Treasury Secretary and paid Bloomberg TV contributor noted: “That’s really a seismic change in policy—when it becomes an objective of the US to slow the growth in a quite-general way of another country.” Building on moves made by the Trump administration to target specific Chinese tech champions (such as Huawei Technologies Co.), President Joe Biden’s team announced a swath of restrictions on the export of some types of chips, and a tightening in rules on the sale of semiconductor manufacturing equipment to any Chinese company. This week in the New Economy * Europe’s auto industry is growing anxious over Chinese competition. * Kenya wants China to extend payment terms on $5 billion of debt. * Xi Jinping must finally show what third term will look like. * Hong Kong inflation hits highest since 2015 as economy reopens. * Lula seeks crucial votes amid Brazil supporters of ex-rival Tebet. The US-China rift over technology can arguably be traced to a plan Beijing laid out seven years ago, dubbed “Made in China 2025.” It’s a vast blueprint for Chinese enterprises to become globally competitive in 10 industries, en route to becoming globally dominant later in this century. Chinese leader Xi Jinping underscored his continuing ambition at this month’s Communist Party Congress, where he called for redoubled efforts to “win the battle in key core technologies.” China has indeed become an increasing threat to US leadership in technological fields, triggering the Biden administration’s current defensive crouch. The new initiatives by Washington have three main effects, according to an analysis by the Fathom China Team at research group Gavekal Dragonomics: They bar Chinese access to “essential machines, parts and maintenance engineers” for making chips beyond a sophistication level going back to 2014. They block Chinese companies from buying software tools needed in designing chips, and from making chips in “third-party foundries that use US-origin technology.” All Chinese customers, not just the military, are barred from the advanced chips used in the most complex operations, such as machine-learning and supercomputing. How exactly this heightening tech war plays out is uncertain. The industry has developed over decades of untrammeled globalization. During that time, US firms pioneered new designs, Taiwan Semiconductor Manufacturing Co. made them and Dutch company ASML Holding NV dominated chip-making equipment. Japanese companies provided vital specialty chemicals while China did the packaging, assembly and testing. Industry experts highlight that developing cutting-edge chip production will be an immense challenge for China, and that the US effort to cut off Chinese buyers will eventually prove hugely damaging to western companies. But modern industrial history suggests China will prevail in terms of the competition. For example, Chinese companies are now global champions of high-speed rail, having picked up the technology they needed in the wake of initial construction by foreign companies including Europe’s Siemens AG and Alstom SA. “These products are technologies—they’re not magic. And the Chinese task is to reinvent a lot of existing wheels,” Dan Wang, a China tech analyst at Gavekal Dragonomics, told Bloomberg. The measures will “probably accelerate China’s self sufficiency in a lot of different technologies over the longer-term.” So there’s a case that the latest US moves ultimately amount to an attempt to preserve a market for western companies—years or decades before Chinese competitors leverage the world’s biggest domestic market to push rivals aside. After all, allowing markets to take their course meant that the US—home to once legendary innovation hub Bell Labs—ended up without its own 5G vendor, as Huawei competes with Nordic champs Ericsson AB and Nokia Oyj. It also underscores the potential need for the US to follow up on sparking innovation on the homefront. The so-called CHIPS and Science Act that Biden signed in August was a step forward. But more surely will be required.