Articles for tag: artificial intelligence, circular economy, electronic waste, environmental impact, generative AI, large language models, Sustainability

November 8, 2024

Generative AI’s rapid growth may lead to millions of tons of electronic waste, exacerbating environmental challenges without sustainable solutions.

Artificial intelligence is advancing quickly, learning to imitate human-like conversations, create art, and even replicate video games. However, a recent study warns that this rapid growth could contribute to a significant increase in electronic waste, with projections suggesting an additional 1.2 to 5 million metric tons by 2030 due to generative AI technologies. The study ...

November 3, 2024

Market News

The rise of AI agents enhances LLMs, overcoming limitations and paving the way towards advanced artificial general intelligence.

Discover how intelligent agents are transforming the use of large language models (LLMs) in various industries. While LLMs serve as vast knowledge sources, they have limitations in reasoning and real-time data access. Intelligent agents help overcome these challenges by providing tools, memory, and reasoning capabilities, making them adept at handling complex tasks. For example, in ...

October 30, 2024

Market News

AI audio transcription tools revolutionize reporting, yet their limitations spark concerns over accuracy and depth in complex analysis.

As AI tools for audio transcription become increasingly advanced, they offer significant benefits to reporters, enabling them to process large volumes of audio quickly and accurately. This technology, while a boon for efficiency, poses challenges for those in the transcription profession. While AI can automate transcription, journalists still face the complex task of analyzing millions ...

October 29, 2024

Market News

Google’s tests reveal Intel’s CPUs can efficiently run AI models, challenging the dominance of high-cost GPUs in enterprise AI workloads.

Most Generative AI models currently rely on GPUs or specialized accelerators, but recent findings suggest CPUs can also perform effectively for enterprise AI tasks. Google has tested Intel’s 4th-Gen Xeon processors, revealing that they can achieve reasonable latency when running large language models, like Llama 2, at 16-bit precision. The tests showed a time of ...