Today in AI: An AI tool that could treat cancer, an AI-led crackdown on money laundering and more


AI tool shows potential for revolutionizing brain cancer treatment, according to a recent study. The tool, known as CHARM (Cryosection Histopathology Assessment and Review Machine), utilizes image analysis to rapidly identify the genetic profile of glioma tumors. Glioma encompasses various types, including the highly aggressive glioblastoma, which, if left untreated, can result in death within six months. Statistics from the American Association of Neurological Surgeons reveal that only 17 percent of glioblastoma patients survive beyond their second year post-diagnosis. While CHARM is not as precise as existing genetic tests, it can swiftly predict a tumor’s profile, providing valuable insights for treatment decisions.

Furthermore, the banking industry is increasingly embracing AI solutions to combat money laundering. Banks are leveraging AI to monitor transactions, detect high-risk customers, conduct customer due diligence, report suspicious activities, streamline manual screening, and perform predictive analysis. In response to the Reserve Bank of India’s imposition of fines on banks for non-compliance with account opening/operation instructions and inadequate fund monitoring, financial institutions worldwide have intensified their efforts to enhance compliance measures. AI’s ability to analyze vast volumes of real-time transaction data enables the rapid identification of suspicious activities, facilitating prompt investigation and further scrutiny.

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Aihub Team

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AI for Environmental Monitoring: AI applications in monitoring and protecting the environment, including wildlife tracking and climate modeling.

AI in Cybersecurity: AI systems for threat detection, anomaly detection, and intelligent security analysis.

AI in Gaming: The use of AI techniques in game development, character behavior, and procedural content generation.

AI in Autonomous Vehicles: AI technologies powering self-driving cars and intelligent transportation systems.

AI Ethics: Ethical considerations and guidelines for the responsible development and use of AI systems.

AI in Education: AI-based systems for personalized learning, adaptive assessments, and intelligent tutoring.

AI in Finance: The use of AI algorithms for fraud detection, risk assessment, trading, and portfolio management in the financial sector.

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Computer Vision: AI systems capable of interpreting and understanding visual data.

Natural Language Processing: AI techniques for understanding and processing human language.