It looked like a recipe for disaster. So, when his country's swimmers were being accused of doping earlier this year, one Chinese official cooked up something fast. He blamed it on contaminated noodles. In fact, he argued, it could have been a culinary conspiracy concocted by criminals, whose actions led to the cooking wine used to prepare the noodles being laced with a banned heart drug that found its way into an athlete's system. This theory was spelled out to international anti-doping officials during a meeting and, after weeks of wrangling, finally made it into the thousands of pages of data handed over to the lawyer who investigated the case involving 23 Chinese swimmers who had tested positive for that same drug. The attorney, appointed by the World Anti-Doping Agency, refused to consider that scenario as he sifted through the evidence. In spelling out his reasoning, lawyer Eric Cottier paid heed to the half-baked nature of the theory. "The Investigator considers this scenario, which he has described in the conditional tense, to be possible, no less, no more," Cottier wrote. Even without the contaminated-noodles theory, Cottier found problems with the way WADA and the Chinese handled the case but ultimately determined WADA had acted reasonably in not appealing China's conclusion that its athletes had been inadvertently contaminated. Critics of the way the China case was handled can't help but wonder if a wider exploration of the noodle theory, details of which were discovered by The Associated Press via notes and emails from after the meeting where it was delivered, might have lent a different flavor to Cottier's conclusions. "There are more story twists to the ways the Chinese explain the TMZ case than a James Bond movie," said Rob Koehler, the director general of the advocacy group Global Athlete. "And all of it is complete fiction." In April, reporting from the New York Times and the German broadcaster ARD revealed that the 23 Chinese swimmers had tested positive for the banned heart medication trimetazidine, also known as TMZ. China's anti-doping agency determined the athletes had been contaminated, and so, did not sanction them. WADA accepted that explanation, did not press the case further, and China was never made to deliver a public notice about the "no-fault findings," as is often seen in similar cases. The stock explanation for the contamination was that traces of TMZ were found in the kitchen of a hotel where the swimmers were staying. In his 58-page report, Cottier relayed some suspicions about the feasibility of that chain of events — noting that WADA's chief scientist "saw no other solution than to accept it, even if he continued to have doubts about the reality of contamination as described by the Chinese authorities." But without evidence to support pursuing the case, and with the chance of winning an appeal at almost nil, Cottier determined WADA's "decision not to appeal appears indisputably reasonable." A mystery remained: How did those traces of TMZ get into the kitchen? Shortly after the doping positives were revealed, the Institute of National Anti-Doping Organizations held a meeting on April 30 where it heard from the leader of China's agency, Li Zhiquan. Li's presentation was mostly filled with the same talking points that have been delivered throughout the saga — that the positive tests resulted from contamination from the kitchen. But he expanded on one way the kitchen might have become contaminated, harkening to another case in China involving a low-level TMZ positive. A pharmaceutical factory, he explained, had used industrial alcohol in the distillation process for producing TMZ. The industrial alcohol laced with the drug "then entered the market through illegal channels," he said. The alcohol "was re-used by the perpetrators to process and produce cooking wine, which is an important seasoning used locally to make beef noodles," Li said. "The contaminated beef noodles were consumed by that athlete, resulting in an extremely low concentration of TMZ in the positive sample. "The wrongdoers involved have been brought to justice." This new information raised eyebrows among the anti-doping leaders listening to Li's report. So much so that over the next month, several emails ensued to make sure the details about the noodles and wine made their way to WADA lawyers, who could then pass it onto Cottier. Eventually, Li did pass on the information to WADA general counsel Ross Wenzel and, just to be sure, one of the anti-doping leaders forwarded it, as well, according to the emails seen by the AP. All this came with Li's request that the noodles story be kept confidential. Turns out, it made it into Cottier's report, though he took the information with a grain of salt. "Indeed, giving it more attention would have required it to be documented, then scientifically verified and validated," he wrote. Neither Wenzel nor officials at the Chinese anti-doping agency returned messages from AP asking about the noodles conspiracy and the other athlete who Li suggested had been contaminated by them. Meanwhile, 11 of the swimmers who originally tested positive competed at the Paris Games earlier this year in a meet held under the cloud of the Chinese doping case. Though WADA considers the case closed, Koehler and others point to situations like this as one of many reasons that an investigation by someone other than Cottier, who was hired by WADA, is still needed. "It gives the appearance that people are just making things up as they go along on this, and hoping the story just goes away," Koehler said. "Which clearly it has not."This report is from today's CNBC Daily Open, our international markets newsletter. CNBC Daily Open brings investors up to speed on everything they need to know, no matter where they are. Like what you see? You can subscribe here . Philadelphia news 24/7: Watch NBC10 free wherever you are Inflation in October ticked up The personal consumption expenditures price index for October ticked up 0.2% on the month and 2.3% on a 12-month basis, according to the U.S. Commerce Department on Wednesday. Core inflation rose 0.3% on the month and showed an annual reading of 2.8%, higher than September's 2.7%. All figures were in with Dow Jones consensus estimates. U.S. markets break rally U.S. stock markets fell on Wednesday , with the S&P 500 snapping its seven-day winning streak. Bond prices rose as Treasury yields slipped . The pan-European Stoxx 600 lost 0.19% . Shares of Just Eat Takeaway dropped 2.7% after the Anglo-Dutch delivery firm said it will delist from the London Stock Exchange next month. Bitcoin rebounded Bitcoin rose 5.4% to $96,169.36 as of Thursday morning, bouncing back from a weekly low of around $90,700. Notably, the movement of bitcoin moved in opposite directions from U.S. indexes, which fell on Wednesday. "The bitcoin bull market has legs," Alex Thorn, head of firmwide research at Galaxy Digital, wrote in a report Wednesday. Tariffs on Europe's auto industry? It's likely the euro zone is worried that U.S. President-elect Donald Trump will soon announce tariffs on the bloc's auto industry . "The industry is linked eventually to the steel industry and the chemical industry, so it is the full supply chain that's involved here," said Rico Luman, senior sector economist for transport and logistics at Dutch bank ING. [PRO] Magnificent financial stocks Despite the market chatter about the "Magnificent Seven" bag of stocks, financial stocks have been the best-performing group so far in 2024. Within that sector, there is a corner that might do exceptionally well . In preparation for a heavy meal of turkey and stuffing and pumpkin pie, investors in the U.S. kept their trading appetite light. The SPDR S&P 500 , an exchange-traded fund that tracks the broad-based index, traded around 22.6% fewer shares than its 30-day average. So even though the S&P fell 0.38% to break its seven-day winning streak and the Dow Jones Industrial Average slid 0.31%, those moves don't seem to be a sell-off sparked by mass panic. Instead, traders appear to be giving thanks to the year's rally in Big Tech stocks by taking profit on them, which caused the Nasdaq Composite to drop a relatively steeper 0.6%. The fact that inflation in the U.S., on an annualized basis, ticked up by 0.1 percentage point from the previous month didn't seem to faze investors much either, probably because it wasn't an unexpected increase. In fact, traders boosted their bets that the U.S. Federal Reserve will lower rates by 25 basis points at its December meeting. The market is pricing in a 64.7% chance of that happening, higher than the 55.7% of a week ago, according to the CME FedWatch tool . "Today's data shouldn't change views of the likely path for disinflation, however bumpy," said David Alcaly, lead macroeconomic strategist at Lazard Asset Management. Echoing his views, Scott Helfstein, Global X's head of investment strategy, says he thinks the Fed "can eat turkey and watch football for a day knowing that they are close to full employment with price stability." Investors can also throw themselves into the festivities. More than three-quarters of stocks in the S&P are above their 200-day moving average, suggesting a steady upward trend and a market "still solid," according to Chris Verrone, head of the technical and macro research at Strategas. That's plenty of things to be grateful for this Thanksgiving. — CNBC's Jeff Cox, Scott Schnipper, Alex Harring and Sean Conlon contributed to this report.
Amazon’s early Black Friday deals are live, and the best ones are flying off the shelves. With big discounts on tech, home essentials, and more, these early drops give you a head start—and savvy shoppers are already cashing in. Want to beat the Black Friday madness? Here’s what to snag before it sells out. 53% off a soothing muscle & joint cream If you deal with occasional muscle and joint aches, it may be time to join the 74,000 Amazon reviewers who have found relief with this soothing cream from Penetrex. The non-greasy formula features actives like arnica, boswellia serrata, and vitamin B6 to help relieve discomfort when applied as instructed. You can even combine it with heat or ice therapy when needed. Best of all, it doesn't have any strong odor or cause a burning sensation like some other topical relief creams. 64% off a 6-pack of foldable storage bags Pack up all of last season's clothes in an instant with this set of storage bags. 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It looked like a recipe for disaster. So, when his country's swimmers were being accused of doping earlier this year, one Chinese official cooked up something fast. He blamed it on contaminated noodles. In fact, he argued, it could have been a culinary conspiracy concocted by criminals, whose actions led to the cooking wine used to prepare the noodles being laced with a banned heart drug that found its way into an athlete's system. This theory was spelled out to international anti-doping officials during a meeting and, after weeks of wrangling, finally made it into the thousands of pages of data handed over to the lawyer who investigated the case involving 23 Chinese swimmers who had tested positive for that same drug. The attorney, appointed by the World Anti-Doping Agency, refused to consider that scenario as he sifted through the evidence. In spelling out his reasoning, lawyer Eric Cottier paid heed to the half-baked nature of the theory. People are also reading... "The Investigator considers this scenario, which he has described in the conditional tense, to be possible, no less, no more," Cottier wrote. Even without the contaminated-noodles theory, Cottier found problems with the way WADA and the Chinese handled the case but ultimately determined WADA had acted reasonably in not appealing China's conclusion that its athletes had been inadvertently contaminated. Critics of the way the China case was handled can't help but wonder if a wider exploration of the noodle theory, details of which were discovered by The Associated Press via notes and emails from after the meeting where it was delivered, might have lent a different flavor to Cottier's conclusions. "There are more story twists to the ways the Chinese explain the TMZ case than a James Bond movie," said Rob Koehler, the director general of the advocacy group Global Athlete. "And all of it is complete fiction." Something in the kitchen was contaminated In April, reporting from the New York Times and the German broadcaster ARD revealed that the 23 Chinese swimmers had tested positive for the banned heart medication trimetazidine, also known as TMZ. China's anti-doping agency determined the athletes had been contaminated, and so, did not sanction them. WADA accepted that explanation, did not press the case further, and China was never made to deliver a public notice about the "no-fault findings," as is often seen in similar cases. The stock explanation for the contamination was that traces of TMZ were found in the kitchen of a hotel where the swimmers were staying. In his 58-page report, Cottier relayed some suspicions about the feasibility of that chain of events — noting that WADA's chief scientist "saw no other solution than to accept it, even if he continued to have doubts about the reality of contamination as described by the Chinese authorities." But without evidence to support pursuing the case, and with the chance of winning an appeal at almost nil, Cottier determined WADA's "decision not to appeal appears indisputably reasonable." But how did the drugs get into the kitchen? A mystery remained: How did those traces of TMZ get into the kitchen? Shortly after the doping positives were revealed, the Institute of National Anti-Doping Organizations held a meeting on April 30 where it heard from the leader of China's agency, Li Zhiquan. Li's presentation was mostly filled with the same talking points that have been delivered throughout the saga — that the positive tests resulted from contamination from the kitchen. But he expanded on one way the kitchen might have become contaminated, harkening to another case in China involving a low-level TMZ positive. A pharmaceutical factory, he explained, had used industrial alcohol in the distillation process for producing TMZ. The industrial alcohol laced with the drug "then entered the market through illegal channels," he said. The alcohol "was re-used by the perpetrators to process and produce cooking wine, which is an important seasoning used locally to make beef noodles," Li said. "The contaminated beef noodles were consumed by that athlete, resulting in an extremely low concentration of TMZ in the positive sample. "The wrongdoers involved have been brought to justice." New information sent to WADA ... eventually This new information raised eyebrows among the anti-doping leaders listening to Li's report. So much so that over the next month, several emails ensued to make sure the details about the noodles and wine made their way to WADA lawyers, who could then pass it onto Cottier. Eventually, Li did pass on the information to WADA general counsel Ross Wenzel and, just to be sure, one of the anti-doping leaders forwarded it, as well, according to the emails seen by the AP. All this came with Li's request that the noodles story be kept confidential. Turns out, it made it into Cottier's report, though he took the information with a grain of salt. "Indeed, giving it more attention would have required it to be documented, then scientifically verified and validated," he wrote. Neither Wenzel nor officials at the Chinese anti-doping agency returned messages from AP asking about the noodles conspiracy and the other athlete who Li suggested had been contaminated by them. Meanwhile, 11 of the swimmers who originally tested positive competed at the Paris Games earlier this year in a meet held under the cloud of the Chinese doping case. Though WADA considers the case closed, Koehler and others point to situations like this as one of many reasons that an investigation by someone other than Cottier, who was hired by WADA, is still needed. "It gives the appearance that people are just making things up as they go along on this, and hoping the story just goes away," Koehler said. "Which clearly it has not." Get local news delivered to your inbox!The only qualification Trump's absurd Cabinet nominees have is blind loyalty to himNEW YORK , Dec. 4, 2024 /PRNewswire/ -- Report with market evolution powered by AI - The global generative artificial intelligence (AI) market size is estimated to grow by USD 97.75 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 50.22% during the forecast period. Increasing demand for AI-generated content is driving market growth, with a trend towards acceleration in deployment of large language models (LLM). However, lack of quality data poses a challenge. Key market players include Accenture Plc, Adobe Inc., Alphabet Inc., Altair Engineering Inc., Amazon.com Inc., Autodesk Inc., DataRobot Inc., De Identification Ltd., Diabatix NV, Genie AI Ltd., Hexagon AB, International Business Machines Corp., LeewayHertz, Microsoft Corp., MOSTLY AI Solutions MP GmbH, nTopology Inc., NVIDIA Corp., OpenAI L.L.C., Rephrase Technologies Pvt. Ltd., and Synthesia Ltd.. AI-Powered Market Evolution Insights. Our comprehensive market report ready with the latest trends, growth opportunities, and strategic analysis- View Free Sample Report PDF Key Market Trends Fueling Growth The Generative Artificial Intelligence (AI) market is experiencing significant growth as businesses adopt AI technologies to drive solutions in various industries. Natural Language Processing (NLP) and Computer Vision are leading trends, with Generative AI gaining popularity through advancements like Generative Adversarial Networks (GANs), Transformer models, and Multimodal data processing. AI is revolutionizing Entertainment with text and image generation, summarization, and personalized content. In Healthcare, AI is transforming document generation, model architectures, and unsupervised learning techniques for text and image analysis. Entertainment, Finance, and Education industries are leveraging AI-driven solutions for content creation and customer support through conversational interfaces, intelligent virtual assistants, and conversational chatbots. Advanced algorithms like deep learning, probabilistic modeling, and iterative training techniques are powering AI applications in Robotics and Automation, Augmented Reality, and Virtual Reality. However, challenges such as model drift, inaccurate content, biased content, and inappropriate content require continuous monitoring and mitigation strategies. Data security concerns, particularly with unstructured data and personally identifiable information, necessitate tagging, encryption, and access control measures. AI ethics, machine learning techniques, and computer resources are essential considerations for businesses adopting AI. AI tools and conversational interfaces are enabling IT professionals to create virtual worlds, simulations, and game environments for various applications. In conclusion, the Generative AI market offers immense potential for businesses to innovate and create value across industries. However, it's crucial to address challenges and ethical considerations to ensure the responsible and effective implementation of AI technologies. The generative AI market has experienced notable growth with the implementation of Language Model Machines (LLMs). These models employ deep learning methods to generate text that resembles human speech. Businesses can utilize these models to automate and enhance tasks such as customer service, content creation, and data analysis. For instance, Open AI's GPT-3 language model has gained widespread recognition. It produces human-like text, making it an effective tool for companies to automate content generation, including product descriptions, news articles, and social media posts. Insights on how AI is driving innovation, efficiency, and market growth- Request Sample! Market Challenges The Generative Artificial Intelligence (AI) market is experiencing significant growth as businesses seek to leverage AI technologies for various applications. Natural Language Processing (NLP) and Computer Vision are two key areas where Generative AI, including Generative Adversarial Networks (GANs), Transformer models, and Variational Autoencoders, are making a mark. These AI-driven solutions offer text generation capabilities, summarization, personalized content, document generation, and model architectures for text, images, video, audio, and more. Entertainment and healthcare industries are major adopters, with Generative AI used for content creation, media and entertainment, and AI-driven simulations. Advanced algorithms like deep learning, neural networks, and probabilistic modeling are at the core of these applications. However, challenges persist, including model drift, inaccurate or biased content, and inappropriate content. Synthetic data management and AI ethics are crucial to address these issues. AI accelerators, computing vouchers, and IT professionals are essential to overcome the computational demands of Generative AI. Data security concerns, especially with unstructured data and personally identifiable information, require tagging and encryption methods. The future of Generative AI lies in its ability to create human-like text, power intelligent infrastructure, and provide personalized support through conversational AI and chatbots. Generative artificial intelligence (AI) can produce data for various applications, such as news articles or product descriptions. However, the quality of the generated data can be inconsistent and may not meet expectations. Inaccurate or incomplete information can be disseminated to the public through AI-generated news articles, potentially misleading readers and damaging the credibility of the news outlet. Similarly, poor-quality data used to generate product descriptions on e-commerce websites could deter potential customers from making a purchase due to misleading or confusing information. It is essential to ensure the data used to train generative AI models is of high quality to produce accurate and reliable results. Insights into how AI is reshaping industries and driving growth- Download a Sample Report Segment Overview This generative artificial intelligence (ai) market report extensively covers market segmentation by 1.1 Software 1.2 Services 2.1 Transformers 2.2 Generative adversarial networks (GANs) 2.3 Variational autoencoder (VAE) 2.4 Diffusion networks 3.1 North America 3.2 APAC 3.3 Europe 3.4 South America 3.5 Middle East and Africa 1.1 Software- The generative artificial intelligence (AI) market is experiencing significant growth due to the increasing demand for software that can analyze data and produce unique outputs. One notable example is GPT-4, a deep learning-based text generator capable of creating text indistinguishable from human-written content. Businesses are utilizing this technology for content creation and customer service automation. Another application is StyleGAN, a machine learning software generating realistic human faces, benefiting the fashion and beauty industry. Several startups, like Runway, develop generative AI platforms for designers and artists. These advancements are expected to boost the market's expansion during the forecast period. Download complimentary Sample Report to gain insights into AI's impact on market dynamics, emerging trends, and future opportunities- including forecast (2024-2028) and historic data (2017 - 2021) Research Analysis The Generative Artificial Intelligence (AI) market is experiencing exponential growth due to the increasing adoption of AI technologies in various industries. Natural Language Processing (NLP) and Computer Vision are two major areas of AI that are revolutionizing how we interact with text and images. Generative AI, a subset of advanced algorithms, is leading the charge with its ability to create new content, from text to art and even music. Generative Adversarial Networks (GANs) are a popular generative AI technique that uses two neural networks to generate realistic data. Digitization and AI-driven solutions are transforming industries such as Entertainment and Healthcare, with generative AI powering personalized content and predictive analytics. Standard AI systems use machine learning, simulations, and videos to learn patterns and make decisions. Neural networks, deep learning, probabilistic modeling, and iterative training techniques are essential components of these systems. Recurrent neural networks and convolutional neural networks are advanced algorithms that enable AI to understand context and recognize patterns in data. GPT series and other generative models are creating new possibilities in text generation, while AI applications in virtual worlds and the metaverse are pushing the boundaries of creativity and innovation. IT professionals are in high demand as businesses seek to leverage these advanced technologies to gain a competitive edge. Market Research Overview The Generative Artificial Intelligence (AI) market is experiencing exponential growth, driven by advancements in AI technologies such as Natural Language Processing (NLP), Computer Vision, and Generative Adversarial Networks (GANs). These technologies enable AI-driven solutions to create and process multimodal data, including text, images, video, audio, and more. Generative AI is revolutionizing industries like Entertainment, Healthcare, and Robotics and Automation, with applications ranging from text generation and summarization to personalized content and document generation. Model architectures like Transformer models, Neuro-symbolic approaches, and Unsupervised learning techniques are pushing the boundaries of what AI can do. However, challenges such as model drift, inaccurate content, biased content, and inappropriate content require ongoing attention. AI accelerators, large language models, and training data preparation are essential components of the generative AI ecosystem. The market also includes various AI applications, standard and advanced algorithms, machine learning techniques, and neural networks like Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs). The Entertainment industry, Finance industry, Education industry, and others are leveraging generative AI for content creation, simulations, and conversational interfaces. Virtual Reality (VR) and Augmented Reality (AR) are also significant areas of application, with potential use cases in VR games, VR training simulations, and game environments. AI ethics and data security concerns are critical considerations as the market continues to evolve. Table of Contents: 1 Executive Summary 2 Market Landscape 3 Market Sizing 4 Historic Market Size 5 Five Forces Analysis 6 Market Segmentation Component Software Services Technology Transformers Generative Adversarial Networks (GANs) Variational Autoencoder (VAE) Diffusion Networks Geography North America APAC Europe South America Middle East And Africa 7 Customer Landscape 8 Geographic Landscape 9 Drivers, Challenges, and Trends 10 Company Landscape 11 Company Analysis 12 Appendix About Technavio Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios. Contacts Technavio Research Jesse Maida Media & Marketing Executive US: +1 844 364 1100 UK: +44 203 893 3200 Email: [email protected] Website: www.technavio.com/ SOURCE Technavio
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