Results for: Machine learning

Artificial general intelligence (AGI) is a hypothetical type of AI that surpasses human intelligence and can solve problems across various domains. While AGI remains a distant goal, recent advancements in AI have sparked discussions about its potential benefits and risks, including increased resource abundance, economic growth, and the possibility of existential threats. Experts predict that AGI could emerge within the next few decades, potentially ushering in a new era of technological advancement and societal change.

A new study reveals a concerning trend: AI-generated content is dominating the internet, impacting search results and potentially harming the performance of powerful AI models like ChatGPT. The study found that a significant portion of web content is machine-translated, leading to a decline in quality and an increase in bias.

Chinese scientists have created a groundbreaking tensor processing unit (TPU) utilizing carbon nanotubes instead of traditional silicon. This innovative chip promises to significantly improve energy efficiency in artificial intelligence (AI), a crucial factor in scaling AI applications. The new TPU outperforms existing models by consuming significantly less power while delivering high performance, paving the way for a more sustainable future for AI.

Palantir Technologies, a data analytics company, has been named a leader in AI and machine learning platforms by Forrester Research. The recognition comes amidst volatility in the broader AI sector following Nvidia’s latest earnings report. While Nvidia shares experienced a dip after reporting strong revenue but declining margins, Palantir shares rose, likely benefiting from the positive Forrester report and a broader rebound in AI stocks.

Primate Labs, known for its popular Geekbench benchmark, has released Geekbench AI 1.0, a new benchmarking suite designed to test the performance of machine learning, deep learning, and AI-centric workloads across different platforms. This release comes after years of development and collaboration with industry experts, aiming to provide a reliable and relevant benchmark for evaluating AI performance.

Geoffrey Hinton, a pioneer in artificial intelligence, believes that studying artificial neural networks can reveal secrets about how human brains learn. While backpropagation, a key algorithm in AI, was once considered too complex for biological brains, recent research suggests it might play a role in human learning. This discovery could revolutionize our understanding of the brain and lead to breakthroughs in AI.

New research warns that AI systems could gradually fill the internet with incomprehensible gibberish as they rely on their own output for training data, leading to a phenomenon called ‘model collapse.’ This could occur as the internet’s finite human-generated content gets exhausted, forcing AI models to rely on their own synthetic data. Researchers demonstrate this by training a model on self-generated content, resulting in increasingly nonsensical outputs. To avoid this future, AI developers need to carefully consider the data used to train their systems, ensuring that synthetic data is designed to improve performance.

A research team from the University of Minnesota Twin Cities has developed a new AI technology called CRAM, which significantly reduces energy consumption by eliminating the need for data to travel between memory and processing units. This innovative approach could revolutionize the energy efficiency of AI workloads, addressing the growing concerns about the energy demands of powerful AI systems.

Meta’s Llama 3 405B model training took 54 days on a cluster of 16,384 NVIDIA H100 AI GPUs, facing numerous hardware challenges. The team overcame these hurdles with in-house tools and efficient strategies, achieving a 90% effective training time.

This article delves into the history of artificial intelligence, highlighting 12 crucial milestones that shaped its development. From Alan Turing’s groundbreaking paper to the emergence of powerful AI chatbots like ChatGPT, we explore the key advancements, challenges, and breakthroughs that have propelled the field forward.