Google Ads Introduces New Masthead Format Requirements Page

Google will launch a new consolidated resource on Oct. 3, called “Masthead format requirements.” This new page will streamline all requirements for masthead ads across YouTube and Google TV, providing a centralized reference point for advertisers. Why we care. While the specific requirements for YouTube masthead ads remain unchanged, this move to consolidate guidelines into…

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CrisperWhisper: A Breakthrough in Speech Recognition Technology with Enhanced Timestamp Precision, Noise Robustness, and Accurate Disfluency Detection for Clinical Applications

  Accurately transcribing spoken language into written text is becoming increasingly essential in speech recognition. This technology is crucial for accessibility services, language processing, and clinical assessments. However, the challenge lies in capturing the words and the intricate details of human speech, including pauses, filler words, and other disfluencies. These nuances provide valuable insights into…

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Google Ads unveils advanced performance planner for YouTube campaigns

Google Ads launched advanced “Performance Planner” plans, now including tailored strategies for YouTube campaigns, with a focus on Demand Gen for both Action and Awareness goals. Why we care. These new plans allow advertisers to better align their full marketing strategy with campaign goals, offering customizable options for budget, ad format, buying method, and campaign…

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Microsoft Advertising September product roundup

Microsoft Advertising rolled out several updates this September, building on recent advancements in AI and retail media. Following August’s highlights on Joint Business Plans and AI-driven insights, these new features are designed to make advertising more efficient, relevant, and accessible. Key updates: Enhanced Display and Video Ads: Starting this month, advertisers can access new bidding…

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Enhancing Machine Learning ML Education Through No-Code AI: Integrating Lightweight AI Tools in Non-Technical Higher Education Programs

  Integrating No-Code AI in Non-Technical Higher Education: Recent developments in ML underscore its ability to drive value across diverse sectors. Nevertheless, incorporating ML into non-technical academic programs, such as those in social sciences, presents challenges due to its usual ties with technical fields like computer science. To overcome this barrier, a case-based approach utilizing…

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