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In conclusion, their story is a testament to the power of perseverance, the beauty of embracing change, and the transformative impact that passion and dedication can have on our lives. So here's to the couple who turned 50,000 kilograms of radishes into a symbol of resilience, innovation, and never-ending possibilities. May their story serve as a reminder that with unwavering determination and a sprinkle of creativity, anything is possible.NEW YORK , Dec. 12, 2024 /PRNewswire/ -- Report on how AI is driving market transformation - The global food service market size is estimated to grow by USD 1.07 trillion from 2024 to 2028, according to Technavio. The market is estimated to grow at a CAGR of over 5.66% during the forecast period. For comprehensive forecast and historic data on regions,market segments, customer landscape, and companies- Click for the snapshot of this report Region Outlook 1. APAC - APAC is estimated to contribute 50%. To the growth of the global market. The Food Service Market report forecasts market growth by revenue at global, regional & country levels from 2017 to 2027. The APAC region emerged as the largest geographical segment of the global food service market in 2023, accounting for a significant market share. This trend is projected to continue, with APAC expected to grow faster than the overall market during the forecast period 2024-2028. The region's dominance can be attributed to the rising employment and income levels, leading to changing consumer lifestyles. The increasing number of time-pressed consumers and the convenience factor are driving the demand for quick and easy food options. Additionally, urbanization is fueling the dependency on fast food as consumers find less time for cooking. For more insights on APAC's significant contribution along with the market share of rest of the regions and countries - Download a FREE Sample Segmentation Overview 1.1 Conventional 1.2 Centralized 1.3 Ready-prepared 1.4 Assembly-serve 2.1 Commercial 2.2 Non-commercial 3.1 APAC 3.2 North America 3.3 Europe 3.4 South America 3.5 Middle East and Africa Get a glance at the market contribution of rest of the segments - Download a FREE Sample Report in minutes! 1.1 Fastest growing segment: The conventional food service system is a time-tested approach used by many vendors in the food industry. In this system, ingredients are prepared and served on the same premises, ensuring customers freshly made meals tailored to their preferences. Depending on the food type, it is kept heated or chilled until served. This system is widely used in schools, universities, restaurants, and cafeterias, where consumers value freshly prepared food and flexible menu options. Skilled labor is employed to produce the food, and the conventional system's high-quality offerings continue to attract customers. The preference for freshly prepared meals in dining establishments is expected to fuel the growth of the conventional segment in the global food service market during the forecast period. Research Analysis The Food Service Market encompasses a wide range of establishments and services, including child care centers, restaurants, hotels, cafés, and more. Third-party providers play a crucial role in the industry, offering services such as storage, preparation, and serving to help businesses streamline their operations. Facilities must adhere to strict health and safety regulations for food handling and preparation. Distribution is another essential component, with both traditional and online options available. Restaurant operators and hotel chains partner with food delivery services like Deliveroo and strategic partnerships such as McDelivery to expand their reach. Service types vary, with full-service restaurants offering a more extensive menu and table service, while quick service restaurants focus on speed and convenience. Institutes and educational institutions also contribute significantly to the market. Market Overview The food service market encompasses a wide range of establishments and services, including third-party providers for storage, preparation, and serving in various facilities such as child care centers, restaurants, hotels, cafes, and more. Distribution plays a crucial role in ensuring the timely delivery of ingredients and finished meals. Urban areas with high population density and rising incomes have seen significant growth in the food service industry, driven by changing consumer lifestyles, digitization, and the increasing popularity of online delivery options. The market caters to various cuisines and dietary trends, such as veganism, which has led to the rise of vegan fast food and specialized food courts and malls. The industry is influenced by factors such as productivity, safety, technology, employment, health, hygiene, and e-commerce systems. Strategic partnerships between restaurant operators, hotel chains, independent business owners, and food delivery services like Deliveroo and McDelivery have become commonplace. The market is diverse, with offerings ranging from full-service restaurants to quick service establishments, and includes institutes, retailers, providers, and franchising opportunities. The hospitality sector, including the HRI sector and tourist spending, also plays a significant role in the food service market's financial growth. The quality of food, punctuality of delivery, and plastic packaging are key concerns for consumers, while the rising trend of out-of-home food consumption and the influence of foreign investment and border closures continue to shape the industry landscape. Start exploring market insights by Download a FREE Sample Report in minutes! Key Topics Covered: 1 Executive Summary 2 Market Landscape 3 Market Sizing 4 Historic Market Size 5 Five Forces Analysis 6 Market Segmentation 7 Customer Landscape 8 Geographic Landscape 9 Drivers, Challenges, and Trends 10 Venodr Landscape 11 Vendor Analysis 11.1 McDonald's 11.2 Starbucks 11.3 Restaurant Brands International Inc 11.4 Costa Limited 11.5 Tim Hortons 11.6 Dominos 11.7 KFC Corporation 11.8 Supermac's 11.9 Jollibee 11.10 Baskin Robbins 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
AP Sports SummaryBrief at 5:15 p.m. ESTFirst and foremost, the atmosphere at Disneyland is undeniably conducive to focus and productivity. With its meticulously maintained grounds, cheerful background music, and overall sense of positivity, Disneyland provides a welcoming and refreshing environment for students to escape the monotony of traditional study spaces. The vibrant colors, stimulating visuals, and immersive storytelling found throughout the park can help stimulate the imagination and inspire new ideas.
The Giants announced four roster moves on Saturday, including activating OLB Kayvon Thibodeaux from injured reserve. In addition, New York signed QB Tim Boyle from their practice squad and officially waived QB Daniel Jones and LB Tomon Fox . Thibodeaux, 23, was selected fifth overall by the Giants in the 2022 draft. He’s in the third year of a four-year rookie deal worth $33.3 million that includes a $20 million signing bonus and is fully guaranteed. In 2024, Thibodeaux has appeared in five games for the Giants and recorded 12 tackles, three tackles for loss, and two sacks. This article first appeared on NFLTradeRumors.co and was syndicated with permission.
Deepfakes are no longer just a tool to target celebrities and politicians—-they are fast emerging as a serious threat for the general public as well. In a digital world flooded with visuals, it takes just one high-resolution photo for cybercriminals to create a deepfake. They can create very convincing fake visuals and voices, blurring the lines between reality and deception. Deepfakes are highly realistic images, videos or audio recordings that are created, edited, or generated using artificial intelligence techniques and tools that alter or replace an individual's identity within the content. They can also produce entirely original material where a person is depicted as saying or doing something they never actually did. Various methods are employed in the creation of deepfakes, including face-swapping, voice cloning, lip-syncing and emotional manipulation. Additionally, audio deepfakes utilise techniques such as speech synthesis, parody, mimicry and sound effects manipulation to enhance the realism of the altered media. Talking about how to identify or detect a deepfake, Dr Shruti Mantri, associate director of ISB Institute of Data Science (IIDS), said, "There is no definitive way to identify a fake when it comes to AI-generated content. What we can look out for is facial transformation. “Pay attention to the cheeks and forehead; does the skin appear excessively smooth or overly wrinkled and is the ageing of the skin consistent with that of the hair and eyes? Observe the eyes and eyebrows for where the shadows are placed, as deepfakes may not accurately capture natural physics. Is the shadow even there? How intense? Does it change angle with movement? Deepfakes often struggle with realistic lighting. Be aware of how well lip movements align with speech, as many deepfakes rely on lip-syncing." They are essentially AI-generated content that use deep learning algorithms to produce fake audio, video or images that appear realistic. "They are created using generative adversarial networks (GANs). They involve two neural networks: the generator, responsible for crafting fake content, and the discriminator, which evaluates the content's authenticity. While deepfakes often involve face-swapping or voice cloning, they can also manipulate body movements or fabricate entire scenarios to misrepresent someone's identity. This is why it is called 'deepfake', blending 'deep learning' and 'fake'," explained Jaspreet Bindra, founder of AI & Beyond. Bindra added that deepfakes poses significant threats and affect society. In the political realm, they can be weaponised to create false speeches or actions attributed to leaders, potentially inciting unrest or influencing election outcomes. Criminally, deepfakes are used in scams, extortion or revenge porn, which can cause severe harm to victims. On a broader scale, deepfakes erode public trust in media and individuals, blurring the distinction between reality and fabrication. This growing distrust creates an environment where truth becomes uncertain, with serious implications for democracy, governance and social stability. In Hyderabad, deepfakes are commonly used for phishing scams. Fraudsters create fake voices or automated calls to lure victims. Cases of fraud involving trading apps and stock markets, using small-scale schemes are rampant. According to Rupesh Mittal, cybercrime investigator and founder of Cyber Jagrithi, these scams often start with generating content on topics like income tax or elections. Fraudsters plant small, believable messages to gain trust, gradually leading victims to invest in trading platforms. "They use trading as an end-platform. They convince users to invest small amounts like Rs 5,000 or Rs 10,000, which they raise over time. By the time victims realise that it's a scam, days or weeks have passed, and their losses accumulate in lakhs and crores," he said. The most vulnerable individuals are in the age group 20 to 35—those who are earning well and are willing to explore new opportunities. The scams particularly target unsuspecting, innocent individuals rather than those who are more cautious or experienced. Mittal said that despite huge losses, people are hesitant to file FIRs. "Recently, a victim lost Rs 5 lakh in a stock market scam. Despite realising the fraud, she hesitated to file an FIR for fear of social stigma. Such scams rarely involve a one-time transaction. Instead, they occur over multiple payments, which also makes recovery challenging. On average, only 20 per cent of the lost amount is recoverable due to delays in reporting and the fragmented nature of the transactions," Mittal said. Beyond extortion scams, deepfakes have also been used for impersonation and harassment. For instance, women’s social media accounts are targeted, compromised, and used to post fake endorsements. In Hyderabad, however, the use of deepfakes to create pornographic content is rare. "In those cases, the motive is revenge or to create controversies," he stated. Deepfake technology operates by training GANs on extensive datasets of videos, images, and audio to mimic human expressions, movements and vocal nuances with remarkable accuracy. As the technology evolves, the fakes become increasingly difficult to distinguish from authentic content. Cyber experts combat deepfakes using advanced detection tools, blockchain-based solutions for verifying content authenticity, and digital watermarks to certify originality. "However, the battle between creators of deepfakes and those seeking to detect them is ongoing, with both sides continuously advancing their respective methods," Bindra said. Mittal mentioned that there are many open-sourced tools that are available and applications that can be downloaded from PlayStore, which help fraudsters to create fake content. Hence, controlling the use of AI is not possible. One aspect of differentiating fake content from the original involves contextual analysis, where experts assess the video's context, including its source and timing and cross-refer it with known facts or legitimate recordings. "Cyber experts combine their analytical skills and experience with technical tools to evaluate the authenticity of suspicious media. A variety of technical tools have been developed to aid in detection, leveraging AI to analyse media files for signs of manipulation, including irregularities in pixel data and audio waveforms," said Dr. Shruti Mantri. India's IT Act includes sections (66B, 66C, 66D, and 66F) that address various forms of cybercrime, such as impersonation, cheating and privacy violations. However, lack of specific provisions for AI-related crimes poses challenges. While existing laws can be interpreted to include such offences, updates are needed to explicitly address AI and deepfake misuse. "As individuals, we should avoid sharing high-resolution photos publicly; verify the authenticity of online content before reacting; be cautious with unfamiliar links or requests for personal details and rely on trusted sources for news and information," Mittal said. Look for inconsistencies in facial expressions, unnatural blinking patterns or mismatched lighting that don’t align with the environment. - Pay attention to jerky or odd body movements that seem inconsistent with normal human motion. - Check if lip movements match the spoken words accurately. Misaligned audio and visuals can be a giveaway. - Be alert for unusual voice modulation, robotic tones or inconsistencies in the audio quality that indicate possible tampering. - In images, watch for blurred edges, distorted backgrounds or strange visual glitches around the face or body. - Unrealistically smooth skin, perfectly symmetrical faces or exaggerated features indicate manipulation. - Evaluate the context of the content for inconsistencies, such as an unlikely setting or implausible actions for the person being portrayed.