Meta AI’s Scalable Memory Layers: The Future of AI Efficiency and Performance

Artificial Intelligence (AI) is evolving at an unprecedented pace, with large-scale models reaching new levels of intelligence and capability. From early neural networks to today’s advanced architectures like GPT-4, LLaMA, and other Large Language Models (LLMs), AI is transforming our interaction with technology. These models can process vast amounts of data, generate human-like text, assist…

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The Role of AI in Gene Editing

Artificial intelligence is making waves across industries, but its impact is higher in some sectors than others. Medicine and other sciences stand to gain much from this technology, thanks to their data-heavy work and demand for speed and accuracy. In these fields, gene editing is a particularly promising use case for AI. The practice of…

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Israel’s Trojan Horse: How Ghana’s Pegasus Purchase Ignites Privacy Concerns Across Africa

In the shadowy world of international espionage and digital surveillance, few names evoke as much controversy as Israel’s NSO Group and its infamous Pegasus spyware. As Ghana joins the ranks of African nations that have acquired this powerful tool, questions arise about the implications for privacy, democracy, and Israel’s role in shaping the continent’s digital…

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Is There a Clear Solution to the Privacy Risks Posed by Generative AI?

The privacy risks posed by generative AI are very real. From increased surveillance and exposure to more effective phishing and vishing campaigns than ever, generative AI erodes privacy en masse, indiscriminately, while providing bad actors, whether criminal, state-sponsored or government, with the tools they need to target individuals and groups. The clearest solution to this…

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The Emergence of Self-Reflection in AI: How Large Language Models Are Using Personal Insights to Evolve

Artificial intelligence has made remarkable strides in recent years, with large language models (LLMs) leading in natural language understanding, reasoning, and creative expression. Yet, despite their capabilities, these models still depend entirely on external feedback to improve. Unlike humans, who learn by reflecting on their experiences, recognizing mistakes, and adjusting their approach, LLMs lack an…

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Enhancing the Accuracy of AI Image-Editing

Although Adobe’s Firefly latent diffusion model (LDM) is arguably one of the best currently available, Photoshop users who have tried its generative features will have noticed that it is not able to easily edit existing images – instead it completely substitutes the user’s selected area with imagery based on the user’s text prompt (albeit that…

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Making Professional Development More Accessible for SMBs

Training employees on new skills is tough for small businesses. Most businesses have no shortage of ideas on how owners and managers can help their team improve performance and learn skills, but small businesses are usually not built with professional development in mind. The core business comes first, as it should; and there is unlikely…

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Will AI Replace CG Artists? Recruiters Say “No!”

The rapid rise of AI has made a lot of people nervous. In 2022, we all were already stressed by COVID and the tsunami of mass layoffs it caused. So, the emergence of a new technology offering to automate human work in almost all digital industries didn’t add confidence in the future. The Game Development…

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