The U.S. Army recently tested an M1 Abrams tank equipped with artificial intelligence (AI) target identification and firing system. The AI system was developed by General Dynamics Land Systems and consists of sensors, computers, algorithms, and other components to detect, identify, and fire at targets quickly and …
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Advanced AI-driven competitive intelligence tools have emerged as a game changer in the fight for market dominance. Touched by AI Competitive Intelligence (TCI) helps companies stay ahead of their competition by providing data-driven insights into product trends, customer preferences, and more.

TCI's proprietary …

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MIT recently announced the launch of its new NoAI program, a type of artificial intelligence (AI) course designed to teach students about the implications of AI and how to use it responsibly. The program consists of four classes that explore topics such as ethical AI design and implementation, data privacy, AI bias, …
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AI technologies are becoming increasingly popular and powerful, but they come with a caveat: it can be difficult to trust them. A recent example of this was when Microsoft's Bing search engine was found to have been providing inaccurate answers to questions related to the Holocaust. While this has sparked debate on the …
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Donald Knuth is one of the most celebrated and influential figures in computer science. In a recent interview, he discussed his thoughts on machine learning and the meaning of life. He believes that machine learning can be used to unlock the potential of human intelligence, using it as a tool to better understand the …
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The article, entitled "A Meta-analysis of the Global Distribution of Soil Bacteria," examines the diversity and abundance of bacterial species in different types of soils across the world. Using a database of soil samples from more than 1,000 sites worldwide, researchers found that bacterial communities …
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The article by Lilian Weng explores the challenges and strategies for training large language models. Weng examines how increasing model size can have a positive effect on accuracy, but also leads to a rise in training complexity and difficulty. She explains that one of the primary factors affecting model size is the …
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Self-Attention from Scratch is a tutorial by Sebastian Raschka, published on February 28, 2023. The tutorial explains the concept of self-attention and provides an implementation from scratch using Python and NumPy. Self-attention is a powerful technique in the world of deep learning and natural language processing …
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Artificial Narrow Intelligence (ANI) is a type of AI that focuses narrowly on one specific task or set of tasks. It has limited capabilities and requires programming to complete its tasks, but it is still considered “intelligent” because it has the capacity to learn and adapt over time.

ANIs are used in a variety of …

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This article discusses a hybrid approach to natural language processing (NLP) that combines recurrent neural networks and transformers. Specifically, the authors propose a model called HybridNet, which combines Transformer layers with an RNN encoder-decoder architecture. This model is demonstrated on a variety of NLP …
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