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The Creative, Occasionally Messy World of Textual Data
This article discusses the emergence of large language models in the field of natural language processing (NLP) and the innovative ways in which they are being used. It highlights various applications such as text-to-image and text-to-speech, as well as techniques like prompt engineering and knowledge graph augmentation. The article also mentions other recent standout articles…
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Learn AI for Free: 10 Best AI Courses to Take Right Now (2023)
Artificial intelligence (AI) is revolutionizing various industries and daily life. Learning about AI is essential for professionals in many fields, and luckily, there are free resources available online. This article presents the top five free AI courses in 2023, covering topics such as AI in software testing, generative AI, machine learning, AI chatbots, and machine…
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Microsoft Creates Custom AI Chips
Microsoft has introduced two new chips, the Azure Maia AI Accelerator and the Azure Cobalt CPU, as part of its efforts to enhance AI infrastructure. The chips have been carefully designed to cater to the growing demand for AI applications. These chips will initially be deployed in Microsoft’s datacenters and will power internal services like…
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AI’s Proactive Role in Outsmarting Corruption in Government
Synthetic data and generative AI, specifically Generative Adversarial Networks (GANs), can be used to address government corruption and systemic bias. AI systems trained on synthetic data can identify patterns of corruption and detect suspicious behavior. GANs generate synthetic data that is realistic and can be used to train AI models. Although there are ethical and…
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Google DeepMind wants to define what counts as artificial general intelligence
Google DeepMind researchers have proposed a new definition and taxonomy for artificial general intelligence (AGI). The team outlines five ascending levels of AGI, ranging from emerging to superhuman. They emphasize that AGI must be both general-purpose and high-achieving, capable of learning, assessing performance, and requesting assistance. The researchers also stress the importance of measuring AGI…
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Advanced Dimensionality Reduction Models Made Simple
Discover cutting-edge Dimensionality Reduction techniques to enhance the performance of your Machine Learning models. Find more detailed information on this topic in the Towards Data Science article.
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Improving the Strava Training Log
This article discusses how marathon runners’ training patterns can be visualized using Strava, Python, and Matplotlib.
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Is This the Solution to P-Hacking?
E-values are proposed as a superior alternative to p-values. This article explores their advantages and benefits in statistical analysis.
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Transforming the future of music creation
Introducing our latest music generation model and two innovative AI experiments, expanding creative possibilities.
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Technique enables AI on edge devices to keep learning over time
Researchers from MIT, the MIT-IBM Watson AI Lab, and elsewhere have developed PockEngine, an on-device training method that enables deep-learning models to efficiently adapt to new sensor data. The technique significantly speeds up on-device training, performing up to 15 times faster, without sacrificing accuracy. PockEngine also reduces the amount of memory required for fine-tuning. The…