CRYPTOCURRENCY
Stanford Unveils BEHAVIOR-1K to Train Robots for Household Chores
Stanford researchers introduced BEHAVIOR-1K, a benchmark for training robots in 1,000 household tasks, using NVIDIA's OmniGibson simulation, aiming to make robots practical for daily assistance.
Exploring Regional Innovation with a16z Crypto and Matt Clifford
a16z crypto discusses regional innovation, entrepreneurial talent, and tech trends with Matt Clifford in a special podcast episode recorded in London.
Stanford Students Utilize AI to Develop Robots for Household Chores
Stanford Ph.D. students develop AI-driven robots for household chores using NVIDIA Omniverse.
Extraterrestrial Evidence: A 15-Year Scientific Wager
Astrobiologist Schulze-Makuch and planetary scientist Ian Crawford predict technological extraterrestrial life within 15 years, highlighting rapid space exploration advancements and cosmic significance.
AI : Experts Predict Human-Level Intelligence Within Decades
A 2023 Oxford University survey forecasts a 50% chance of AI surpassing human performance in a decade, potentially reshaping jobs and industries by 2116. This rapid AI development calls for equitable access and bias mitigation.
CharacterX Raises $2.8M for AI-DrivenAI Social Networking, Led by Lightspeed
CharacterX, a Stanford-initiated decentralized AI social network, secures $2.8M funding, blending AGI and blockchain to innovate social interactions, with significant user growth and technological advancements.
Stanford's WikiChat Addresses Hallucinations Problem and Surpasses GPT-4 in Accuracy
Stanford's WikiChat elevates AI chatbot accuracy by integrating Wikipedia, addresses the inherent problem of hallucinations, significantly outperforms GPT-4 in benchmark tests.
Oxford Study Reveals "Prospective Configuration" - A Novel Brain Learning Principle Surpassing AI
Oxford University and the MRC Brain Network Dynamics Unit have discovered a new principle of brain learning called "prospective configuration," suggesting the human brain has a superior learning mechanism compared to AI systems. Future research aims to develop learning algorithms.
Stanford University's Percy Liang Spearheads AI Transparency Initiative
Stanford's Foundation Model Transparency Index highlights a significant transparency gap in AI foundation models, highlighting the need for enhanced practices and regulations.
Ford Makes NFT Entry With Trademark Applications
American automobile giant Ford Motor Company is making a grand entry into the metaverse and Web3.0 ecosystem through its targeted trademark applications.