Let’s Get Small! Nanoeconomics to Address Economic Welfare Loss
Much like Alice in Alice in Wonderland, who drank from the “Drink Me” bottle and shrank to explore a world she couldn’t access before, nanoeconomics invites us to t...
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Sentiment analysis at scale: Applying NLP to multi-lingual and domain-specific texts
Introduction Sentiment analysis, also known as opinion mining, is a powerful concept in the Natural Language Processing (NLP) technique that interprets and classifies emo...
Computing: Evaluating self-driving cars, robots and AGI with signals—as the benchmark
If any process is [almost] completely predictable [or say routine enough], it is probably guaranteed that machines will outperform humans, implying that machines often ha...
Driving Relevant GenAI / LLM Outcomes with Contextual Continuity
As GenAI tools like ChatGPT become increasingly popular for problem-solving and decision-making, users often face a critical challenge: navigating the vast expanse of kno...
Internet, safety research: Instant model for AI alignment
AI does not have moments. AI uses digital memory. When the memory is used to result in intelligence, there is no possibility for instantaneous permanence—with a likelih...
Samsung and Apple’s knowledge-centric approaches to secure, personalized AI on phones
Image by David from Pixabay Mobile phones make it possible to secure and manage personal data on-device, which opens up a novel opportunity for both phone owners and devi...
Selecting the right model to maximize AI training efficiency
Unlock AI training efficiency: Learn to select the right model architecture for your task. Explore CNNs, RNNs, Transformers, and more to maximize performance....
Generative AI for product design: From ideation to launch, faster & smarter
Generative AI is transforming the landscape of product development by enabling designers across various industries, such as furniture, fashion, and automotive, to push bo...
AI-powered digital twins predict weather disasters
As climate change worsens, severe weather events are becoming increasingly common. Consequently, it’s never been more important to predict and respond effectively to th...
Why AI in QA isn’t quite ready yet
AI isn’t just the next big thing; it’s here now, and whoever isn’t using it is missing out.Our clients often ask about AI tools in our development process, but find...