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Artificial Intelligence

Top AI Profile Picture Creators: Utilizing AI for Professional Resume Pictures

Artificial intelligence (AI) has become an integral part of many industries, including recruitment. On one hand, this technology helps recruiters scan applications more efficiently. On the other hand, job seekers can use AI to enhance their resumes and even their application photos. Several AI tools available can transform a casual selfie to a professional headshot suitable…

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Understanding GPT-4o: Its Functionality, Usage, and Cost aspect.

OpenAI has made strides in artificial intelligence development with its latest model, Generative Pre-trained Transformer 4 Omni (GPT-4o). Unlike its predecessors, this model is the first designed to offer effective interface through voice and video, revolutionizing how users interact with AI. GPT-4o can process and generate both text and images and makes use of tone…

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FinRobot: A Unique Open-Source AI Entity Platform Backing Numerous Financially Focused AI Agents Operated by LLMs.

Artificial intelligence (AI) has reshaped multiple industries, including finance, where it has automated tasks and enhanced accuracy and efficiency. Yet, a gap still exists between the finance sector and AI community due to proprietary financial data and the specialized knowledge required to analyze it. Therefore, more advanced AI tools are required to democratize the use…

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Optimized Hardware-Software Collaboration for AI through In-Memory Computing and Hardware-Neural Architecture Search Enhancement

Artificial Intelligence (AI) and complex neural networks are growing rapidly, necessitating efficient hardware to handle power and resource constraints. One potential solution is In-memory computing (IMC) which focuses on developing efficient devices and architectures that can optimize algorithms, circuits, and devices. The explosion of data from the Internet of Things (IoT) has propelled this need…

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OmniGlue: The Initial Image Matching Tool Created with a Central Focus on Generalizability

Local feature image matching techniques often fall short when tested on out-of-domain data, leading to diminished model performance. Given the high costs associated with collecting extensive data sets from every image domain, researchers are focusing on improving model architecture to enhance generalization capabilities. Historically, local feature models like SIFT, SURF, and ORB were used in…

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Premier AI Courses offered by Amazon/AWS

The rise of Artificial Intelligence (AI) is being tapped into by various enterprises, thanks to the innovation it presents. AWS (Amazon Web Services) offers substantial AI solutions and services, and carries a series of courses to enhance an individual's aptitude in such technologies. This report uncovers the leading AI courses by AWS that instill learners…

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A fresh method enables AI chatbots to engage in conversation throughout the entire day without experiencing a system failure.

Researchers from MIT and other institutions have proposed a solution to the challenge of AI systems losing the context of conversation in extended dialogues. Large language models such as ChatGPT, which enable the functioning of chatbots, often struggle to retain information from long conversations, resulting in rapid performance deterioration. The team has developed a method…

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This small, secure identification marker can verify the authenticity of nearly everything.

Researchers at MIT have developed a new cryptographic ID tag that is cheaper, smaller, and more secure than traditional radio frequency tags (RFIDs). Initially, the researchers developed a tiny tag using terahertz waves, which offered improved security over RFIDs. However, this tag shared a vulnerability with RFID tags: a counterfeiter could peel off the tag…

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The new model highlights medicines that are not advisable to be combined.

Scientists from MIT, Brigham and Women’s Hospital, and Duke University have developed a method to track how oral drugs pass through the human digestive tract. This research is considered key as it can help predict potential drug interactions which improve patient treatment. The research used a combination of tissue models and machine learning algorithms. Oral…

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