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HPI-MIT’s joint design research effort fosters formidable teams.

The recent ransomware attack on ChangeHealthcare underscores the disruptive nature of supply chain attacks. Such attacks are becoming increasingly prominent and often target large corporations through the small and medium-sized vendors in their corporate supply chains. Researchers from Massachusetts Institute of Technology (MIT) and Hasso Plattner Institute (HPI) in Potsdam, Germany, are investigating different organizational…

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A Comprehensive, Step-by-Step Manual on Utilizing Microsoft Copilot

Microsoft Copilot is an artificial intelligence (AI) assistant designed to enhance user interaction with technology. Initially, it was exclusively available within Bing search, but the assistant is now featured in various Microsoft products. Microsoft Copilot is powered by OpenAI’s GPT-4 model, effectively answering users' questions and summarising internet data. Users can operate Copilot by typing…

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LinkedIn and HubSpot: A Revolutionary Collaboration for Marketing Professionals

This blog details the integration of LinkedIn and HubSpot, both leaders in professional networking and customer relationship management, respectively. Both companies have integrated, thereby providing marketers with an efficient way to manage and execute LinkedIn advertising campaigns through the HubSpot platform. This strategic alliance enhances customer insights as it combines LinkedIn's rich demographic data with…

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Creating Your Marketing Plan in New York Using AI Intelligence

If you're a business owner or marketer based in New York City, you're probably aware of the immense opportunities the market presents - and also the cut-throat competition. Thriving in such an environment requires a robust, smart, and efficient approach, particularly concerning your marketing strategy. Robotic Marketer assists businesses in such challenging environments with artificial…

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How a Marketing Specialist Utilizes ChatGPT, Grok, Gemini, Jasper.io, and Robotic Marketer

Navigating the landscape of artificial intelligence (AI) in marketing can be challenging, given the myriad of platforms and marketing technologies available. As AI continues to disrupt traditional marketing strategies, marketing professionals must keep up with the pace and adopt AI tools that best align with their campaign objectives. Here we explore the unique strengths of…

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Item#37 – Terminating Drones, Deceptive Audio, and Enigmatic Artificial Intelligence

This week's AI news roundup covers a broad range of stories, from a mysterious chatbot's brief appearance, AI safety efforts, and digital music generation, to the potential for AI-powered search platforms and autonomous killer robots. The unnamed chatbot, dubbed 'gpt2-chatbot,' surfaced on the LMSYS Chatbot Arena, impressing users with its performance that seemed to surpass that…

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Optimizing Repeated Preferences to Enhance Reasoning Tasks in Language Models

Iterative preference optimization methods have demonstrated effectiveness in general instruction tuning tasks but haven't shown as significant improvements in reasoning tasks. Recently, offline techniques such as Discriminative Preference Optimization (DPO) have gained popularity due to their simplicity and efficiency. More advanced models advocate the iterative application of offline procedures to create new preference relations, further…

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Interpretability and Precision in Deep Learning: A Fresh Phase with the Introduction of Kolmogorov-Arnold Networks (KANs)

Multi-layer perceptrons (MLPs), also known as fully-connected feedforward neural networks, are foundational models in deep learning. They are used to approximate nonlinear functions and despite their significance, they have a few drawbacks. One of the limitations is that in applications like transformers, MLPs tend to control parameters and they lack interpretability compared to attention layers.…

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Assessing LLM Reliability: Findings from VISA Team’s Study on Harmoniticity Analysis

Large Language Models (LLMs) have become crucial tools for various tasks, such as answering factual questions and generating content. However, their reliability is often questionable because they frequently provide confident but inaccurate responses. Currently, no standardized method exists for assessing the trustworthiness of their responses. To evaluate LLMs' performance and resilience to input changes, researchers…

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Key Laws and Frameworks Governing Artificial Intelligence (AI)

The rapid growth of artificial intelligence (AI) technology has led numerous countries and international organizations to develop frameworks that guide the development, application, and governance of AI. These AI governance laws address the challenges AI poses and aim to direct the ethical use of AI in a way that supports human rights and fosters innovation. One…

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