Laser Peening System Market Forecasted for Strong Growth from 2024 to 2032TORONTO — Losses in the tech sector led Canada's main stock index lower Friday, while U.S. stock markets also fell. The S&P/TSX composite index ended down 50.42 points at 24,796.40. In New York, the Dow Jones industrial average was down 333.59 points at 42,992.21. The S&P 500 index was down 66.75 points at 5,970.84, while the Nasdaq composite was down 298.33 points at 19,722.03. The Canadian dollar traded for 69.37 cents US, compared with 69.51 cents US on Tuesday. The February crude oil contract was up 98 cents at US$70.60 per barrel and the February natural gas contract was up six cents at US$3.38 per mmBTU. The February gold contract was down US$22 at US$2,631.90 an ounce and the March copper contract was down less than a penny at US$4.12 a pound. This report by The Canadian Press was first published Dec. 27, 2024. Companies in this story: (TSX:GSPTSE, TSX:CADUSD) The Canadian Press
KNOXVILLE, Tenn. (AP) — Tennessee running back Dylan Sampson is heading to the NFL draft after leading the Southeastern Conference in rushing and setting a handful of school records. The SEC Offensive Player of the Year announced on social media his intention Friday to leave after his junior season. He helped the seventh-ranked Vols go 10-3 with a first-round loss in the College Football Playoff where Sampson was limited by an injured hamstring. Sampson thanked his family, Tennessee coaches and fans, saying he learned so much and had the chance to be part of something special. Tennessee went 3-7 in 2020, and he leaves with the Vols having won 30 games over his three seasons. "I poured my heart and soul into this program and this community," Sampson wrote. "With that being said, I will be declaring for the 2025 NFL Draft." Sampson set a school record running for 1,491 yards. He also set a program record with a league-best 22 rushing touchdowns, breaking a mark that had stood for 95 years. He was part of coach Josh Heupel's first full signing class in December 2021 out of Baton Rouge, Louisiana. He also set school records for total touchdowns scored (22), points scored (132) and consecutive games with a rushing touchdown (11). He led the SEC in nine different categories, including rushing attempts (258), rushing yards, rushing touchdowns, 100-yard rushing games with 10, averaging 114.7 yards rushing per game, points scored, points per game (10.2), all-purpose yards (1,638) and all-purpose yards per game (126.0). He finished this season tied for fifth all-time in the SEC ranks for rushing TDs in a single season with Leonard Fournette of LSU.How to protect your communications through encryption
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By KELVIN CHAN LONDON (AP) — After a sprawling hacking campaign exposed the communications of an unknown number of Americans, U.S. cybersecurity officials are advising people to use encryption in their communications. To safeguard against the risks highlighted by the campaign, which originated in China, federal cybersecurity authorities released an extensive list of security recommendations for U.S. telecom companies — such as Verizon and AT&T — that were targeted. The advice includes one tip we can all put into practice with our phones: “Ensure that traffic is end-to-end encrypted to the maximum extent possible.” End-to-end encryption, also known as E2EE, means that messages are scrambled so that only the sender and recipient can see them. If anyone else intercepts the message, all they will see is a garble that can’t be unscrambled without the key. Law enforcement officials had until now resisted this type of encryption because it means the technology companies themselves won’t be able to look at the messages, nor respond to law enforcement requests to turn the data over. Here’s a look at various ways ordinary consumers can use end-to-end encryption: Texting Officials said the hackers targeted the metadata of a large number of customers, including information on the dates, times and recipients of calls and texts. They also managed to see the content from texts from a much smaller number of victims. If you’re an iPhone user, information in text messages that you send to someone else who also has an iPhone will be encrypted end-to-end. Just look for the blue text bubbles, which indicate that they are encrypted iMessages. The same goes for Android users sending texts through Google Messages. There will be a lock next to the timestamp on each message to indicate the encryption is on. But there’s a weakness. When iPhone and Android users text each other, the messages are encrypted only using Rich Communication Services, an industry standard for instant messaging that replaces the older SMS and MMS standards. Apple has noted that RCS messages “aren’t end-to-end encrypted, which means they’re not protected from a third party reading them while they’re sent between devices.” Samsung, which sells Android smartphones, has also hinted at the issue in a footnote at the bottom of a press release last month on RCS, saying, “Encryption only available for Android to Android communication.” Chat apps To avoid getting caught out when trading texts, experts recommend using encrypted messaging apps. Privacy advocates are big fans of Signal, which applies end-to-end encryption on all messages and voice calls. The independent nonprofit group behind the app promises never to sell, rent, or lease customer data and has made its source code publicly available so that it can be audited by anyone to examine it “for security and correctness.” Signal’s encryption protocol is so reputable that it has been integrated into rival WhatsApp , so users will enjoy the same level of security protection as Signal, which has a much smaller user base. End-to-end encryption is also the default mode for Facebook Messenger , which like WhatsApp is owned by Meta Platforms. What about Telegram? Telegram is an app that can be used for one-on-one conversations, group chats and broadcast “channels” but contrary to popular perception, it doesn’t turn on end-to-end encryption by default. Users have to switch on the option. And it doesn’t work with group chats. Cybersecurity experts have warned people against using Telegram for private communications and pointed out that only its opt-in ‘secret chat’ feature is encrypted from end-to-end. The app also has a reputation for being a haven for scammers and criminal activity, highlighted by founder and CEO Pavel Durov’s arrest in France . Making calls Instead of using your phone to make calls through a wireless cellular network, you can make voice calls with Signal and WhatsApp. Both apps encrypt calls with the same technology that they use to encrypt messages. There are other options. If you have an iPhone you can use Facetime for calls, while Android owners can use the Google Fi service, which are both end-to-end encrypted. The only catch with all these options is that, as with using the chat services to send messages, the person on the other end will also have to have the app installed. WhatsApp and Signal users can customize their privacy preferences in the settings, including hiding IP address during calls to prevent your general location from being guessed. Is there a tech topic that you think needs explaining? Write to us at onetechtip@ap.org with your suggestions for future editions of One Tech Tip.Revolutionizing Style: The Impact of AI on the Fashion Market 2028 12-13-2024 07:49 PM CET | IT, New Media & Software Press release from: Data Bridge Market Research AI in Fashion Market Artificial intelligence (AI) has rapidly permeated various industries, and fashion is no exception. As a dynamic and ever-evolving sector, the fashion industry has embraced AI to enhance operations, improve customer experiences, and forecast trends. This guest post explores the overview, scope, market trends, and influencing factors of AI in the fashion market. Browse More About This Research Report @ https://www.databridgemarketresearch.com/reports/global-ai-in-fashion-market Overview The integration of AI in fashion is transforming how the industry operates. From design and manufacturing to retail and customer engagement, AI technologies are enabling more efficient and innovative processes. Machine learning algorithms, computer vision, and natural language processing are at the core of AI applications in this domain. These technologies are used to analyze vast amounts of data, automate tasks, and provide personalized experiences to consumers. AI-driven tools have proven instrumental in addressing some of the industry's key challenges. For instance, inventory management and demand forecasting have become more accurate, reducing overproduction and waste. Virtual fitting rooms and personalized styling recommendations have enhanced online shopping, bridging the gap between digital and physical retail experiences. Moreover, AI is helping fashion brands achieve sustainability goals by optimizing resource use and improving supply chain transparency. Scope The scope of AI in fashion extends across various aspects of the value chain. In design, AI-powered tools are assisting designers in creating new styles by analyzing historical data and predicting emerging trends. Generative design algorithms can produce multiple design options, allowing designers to experiment with innovative ideas. In manufacturing, AI optimizes production processes by predicting equipment failures and reducing downtime. Quality control systems powered by computer vision detect defects in materials or finished products, ensuring high standards. Robotics and AI automation are also streamlining tasks such as cutting fabrics and assembling garments. In retail, AI is transforming customer interactions. Chatbots and virtual assistants provide instant support and personalized recommendations, enhancing the shopping experience. Visual search capabilities allow customers to find products by uploading images, making the search process more intuitive. Predictive analytics is another crucial application, enabling retailers to anticipate consumer preferences and tailor marketing campaigns accordingly. The post-sale experience is also benefiting from AI. Advanced analytics help brands understand customer feedback, refine their offerings, and build loyalty programs. Additionally, AI-powered tools enable efficient returns management, minimizing costs and enhancing customer satisfaction. Market Trends Several key trends are shaping the AI-driven transformation of the fashion market: 1. Personalization: Consumers increasingly expect personalized experiences. AI analyzes individual preferences, shopping histories, and social media activity to offer tailored product recommendations. Brands are leveraging AI to create hyper-personalized marketing campaigns that resonate with their target audiences. 2. Sustainability: AI plays a pivotal role in promoting sustainable practices. Predictive analytics reduces overproduction, while AI-driven supply chain management enhances transparency. Brands are also using AI to create eco-friendly designs and optimize material usage, minimizing waste. 3. Virtual and Augmented Reality: Virtual fitting rooms and augmented reality (AR) applications are revolutionizing online shopping. These tools allow customers to visualize how clothes will look and fit, reducing the likelihood of returns. 4. AI in Trend Forecasting: Predicting fashion trends has become more data-driven. AI algorithms analyze social media, runway shows, and consumer behavior to identify emerging patterns. This helps brands stay ahead of the competition and respond to market demands. 5. Enhanced Inventory Management: AI optimizes inventory levels by predicting demand with precision. This reduces stockouts and overstock situations, improving profitability and customer satisfaction. 6. Advanced Customer Service: AI-powered chatbots and virtual assistants are transforming customer service by providing instant responses and resolving queries efficiently. These tools are available 24/7, enhancing the overall customer experience. Factors Influencing AI Adoption The adoption of AI in the fashion market is driven by several factors: 1. Technological Advancements: Rapid advancements in AI technologies, including machine learning, computer vision, and natural language processing, have made these tools more accessible and effective. Cloud computing and the Internet of Things (IoT) further support AI applications by enabling real-time data analysis. 2. Consumer Expectations: Modern consumers demand seamless, personalized shopping experiences. AI helps brands meet these expectations by delivering tailored recommendations and improving online and in-store interactions. 3. Competition: The competitive nature of the fashion industry compels brands to innovate continuously. AI offers a strategic advantage by streamlining operations, enhancing customer experiences, and predicting trends. 4. Sustainability Goals: Growing awareness of environmental issues has led brands to adopt sustainable practices. AI-driven solutions help achieve these goals by optimizing resource use and minimizing waste. 5. Cost Efficiency: Although implementing AI technologies requires initial investment, the long-term cost savings are significant. AI improves efficiency, reduces errors, and enhances decision-making, resulting in higher profitability. 6. Data Availability: The fashion industry generates massive amounts of data from e-commerce, social media, and customer interactions. AI leverages this data to provide actionable insights, enabling informed decision-making. 7. Regulatory Environment: Governments and organizations are increasingly emphasizing data privacy and ethical AI practices. Compliance with these regulations is essential for brands adopting AI solutions. Conclusion AI is reshaping the fashion market by introducing innovative solutions that address industry challenges and meet evolving consumer demands. From design and manufacturing to retail and customer engagement, AI technologies are unlocking new opportunities for growth and efficiency. The trends and factors influencing AI adoption highlight its transformative potential, making it an essential tool for the future of fashion. As the industry continues to embrace AI, the possibilities for innovation and sustainability are limitless. Browse Trending Reports: https://newsasdbmr.blogspot.com/2024/12/control-valves-market-size-share-trends_13.html https://newsasdbmr.blogspot.com/2024/12/control-valves-market-size-share-trends.html https://newsasdbmr.blogspot.com/2024/12/ai-in-fashion-market-size-share-key.html https://newsasdbmr.blogspot.com/2024/12/games-streaming-market-size-share-key.html About Data Bridge Market Research: An absolute way to predict what the future holds is to understand the current trend! Data Bridge Market Research presented itself as an unconventional and neoteric market research and consulting firm with an unparalleled level of resilience and integrated approaches. We are committed to uncovering the best market opportunities and nurturing effective information for your business to thrive in the marketplace. Data Bridge strives to provide appropriate solutions to complex business challenges and initiates an effortless decision-making process. Data Bridge is a set of pure wisdom and experience that was formulated and framed in 2015 in Pune. Data Bridge Market Research has more than 500 analysts working in different industries. We have served more than 40% of the Fortune 500 companies globally and have a network of more than 5,000 clients worldwide. Data Bridge is an expert in creating satisfied customers who trust our services and trust our hard work with certainty. We are pleased with our glorious 99.9% customer satisfaction rating. Contact Us: - Data Bridge Market Research US: +1 888 387 2818 United Kingdom: +44 208 089 1725 Hong Kong: +852 8192 7475 Email: - sopan.gedam@databridgemarketresearch.com This release was published on openPR.
