EU officials reach ‘historic’ AI regulation deal
The agreement mandates models like ChatGPT and general AI to follow transparency rules before market entry. Go to Source
Technology
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Bitcoin’s many deaths: Is crypto market past ‘point of no return?’
Bitcoin has been declared dead more times than you’d think amid downswings in the market, but it’s always managed to bounce back. Go to Source
Microsoft faces UK antitrust probe over OpenAI deal structure
The regulator’s examination will assess whether the collaboration constitutes an “acquisition of control,” implying substantial influence of one party over another. Go to Source
AI regulations in global focus as EU approaches regulation deal
Concerns over potential misuse of AI have prompted the U.S., U.K., China, and the G7 to speed up regulation of the technology, though Europe is already way ahead. Go to Source
Moody’s launches quantum-as-a-service platform for finance
The platform allows clients to compare and benchmark quantum and classical algorithms for a given task. Go to Source
IBM, Meta and others form ‘AI Alliance’ to advance AI development
In a joint statement, IBM and Meta outlined the AI Alliance’s objectives, emphasizing a commitment to safety, collaboration, diversity, economic opportunity, and universal benefits. Go to Source
ChatGPT tops Wikipedia’s most-viewed articles of 2023 list
ChatGPT achieved 49.5 million views, surpassing and outperforming notable topics like “Deaths in 2023” and sports content. Go to Source
Envision partners with HBAR and UN on new digitization platform for carbon markets
Envision blockchain along with HBAR foundation has teamed up with the UN to create a new suite of decentralized tech to streamline the complex carbon markets. Go to Source
DeepMind exec: AI assesses climate issues, falls short of full solution
Google DeepMind Climate Action Lead Sims Witherspoon suggested a strategy dubbed the “Understand, Optimize, Accelerate” framework, outlining three steps for tackling climate change with AI. Go to Source
Google DeepMind’s AI predicts 2 million novel chemical materials for real-world tech
A paper published in the science journal Nature says the AI developed by DeepMind underwent training using data sourced from the Materials Project, an international research consortium established at the Lawrence Berkeley National Laboratory in 2011. Go to Source