Month: September 2023
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Machine Learning for Mergers and Acquisitions Analysis
M&A is a high-stakes, complex arena in which companies make strategic choices to grow, diversify, or gain an edge. The quality of the analysis conducted during due diligence, and after merger integration is often what determines whether an M&A deal will be successful. Artificial intelligence (AI), and machine learning, (ML), have become indispensable tools for this…
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Invention for System and Method for Machine Learning Model Determination and Malware Identification
Invented by Scott B. Miserendino, Robert H. Klein, Ryan V. Peters, Peter E. Kaloroumakis, BluVector Inc The market for System and Method for Machine Learning Model Determination and Malware Identification is experiencing significant growth as organizations increasingly rely on advanced technologies to combat the rising threat of malware attacks. With the proliferation of digital devices…
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Types of AI Technologies for Patent Drafting
Artificial Intelligence has already revolutionized the legal industry, and it will continue to do this in the future. AI will have a major impact on the legal services of patent drafting. Patent drafting can be a time-consuming and complex process. It involves researching prior art and understanding complex technical concepts. AI can help patent agents and attorneys in…
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Invention for Audit Machine Learning Models against Bias
Invented by Marisa Affonso Vasconcelos, Carlos Henrique Cardonha, International Business Machines Corp The market for audit machine learning models against bias is rapidly growing as organizations recognize the importance of fair and unbiased decision-making processes. Machine learning algorithms have the potential to revolutionize various industries, but they also have the inherent risk of perpetuating biases…
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Invention for Distributed Machine Learning in an Information Centric Network
Invented by Satish Chandra Jha, S M Iftekharul Alam, Ned M. Smith, Intel Corp The market for Distributed Machine Learning in an Information Centric Network In recent years, the field of machine learning has seen significant advancements, with applications ranging from natural language processing to image recognition. However, as the amount of data being generated…
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Invention for Machine Learning assisted image prediction
Invented by Carlos E. GUESTRIN, Leon A. GATYS, Shreyas V. JOSHI, Gustav M. LARSSON, Kory R. WATSON, Srikrishna Sridhar, Karla P. VEGA, Shawn R. Scully, Thorsten Gernoth, Onur C Hamsici, Apple Inc The market for machine learning-assisted image prediction has seen significant growth in recent years. With the advancement of technology and the increasing availability…
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Machine Learning for Trademark Infringement Analysis
Trademark infringement is a serious concern for businesses. It can lead to loss of revenue, damage to reputation, and legal disputes that are costly and time-consuming to resolve. AI-powered tools can help lawyers identify potential trademark infringement. By monitoring online platforms, e-commerce websites, and social media, these systems can flag instances of unauthorized use of…
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Invention for System and Method for Inspecting a Rail Using Machine Learning
Invented by David Henry Gilbert, SPERRY RAIL HOLDINGS Inc The market for the system and method for inspecting a rail using machine learning is rapidly growing as the demand for efficient and accurate rail inspection solutions continues to rise. Railways are a critical mode of transportation, and ensuring their safety and reliability is of utmost…
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Invention for Machine learning systems that protect data privacy
Invented by Lichao Sun, Caiming Xiong, Jia Li, Richard Socher, Salesforce Inc The market for machine learning systems that protect data privacy has been rapidly growing in recent years. With the increasing amount of data being generated and collected by organizations, there is a growing need for robust systems that can ensure the privacy and…
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Invention for Machine learning based content delivery
Invented by Blair Livingstone Hotchkies, Bradley Scott Bowman, Paul Christopher Cerda, Min Chong, Anthony T. Chor, Leo Parker Dirac, Kevin Andrew Granade, Udip Pant, Sean Michael Scott, Amazon Technologies Inc The market for machine learning-based content delivery has witnessed significant growth in recent years. As technology continues to advance, businesses are increasingly relying on machine…