5 Unconventional Sources of Data for Your Next Project
When working on a project, think beyond traditional data sources. Explore unconventional options like social media and user-generated content for fresh insights.
Future News, Today
When working on a project, think beyond traditional data sources. Explore unconventional options like social media and user-generated content for fresh insights.
Intentional phone usage is a tricky habit to develop. Operating systems like iOS and Android, along with social media networks like Instagram and TikTok, have built timers, nudges, and controls…
Amazon can finally close the book on a long-running state aid saga in the European Union. The Commission confirmed Thursday it’s shuttered an investigation into whether Luxembourg, the Member State…
If someone told you a decade ago that artificial intelligence (AI) would help people write novels, poetry, or screenplays, you might have rolled your eyes. But here we are. AI…
Decarbonizing our economies in the race to fight climate change demands a wholesale overhauling of all sorts of production processes to make them as sustainable as possible. Greening chemicals, which…
Multimodal language models (LMMs) are a transformative technology that blends natural language processing with visual data interpretation. Their applications extend to multilingual virtual assistants, cross-cultural information retrieval, and content understanding.…
Image and video generation has undergone a remarkable transformation, evolving from a seemingly impossible challenge to a task nearly solved by commercial tools like Stable Diffusion and Sora. This progress…
The advent of LLMs has propelled advancements in AI for decades. One such advanced application of LLMs is Agents, which replicate human reasoning remarkably. An agent is a system that…
An African fintech that has grown on the strength of a 30,000-strong team of direct salespeople is moving into profit country by sub-Saharan country. Now, M-KOPA, the pay-as-you-go asset financing…
Transformer-based Large Language Models (LLMs) face significant challenges in efficiently processing long sequences due to the quadratic complexity of the self-attention mechanism. This will increase their computational and memory demands…