The US battery industry is facing a significant downturn, with many companies failing and investors pulling back. This shift has major implications for the country's ability to compete in the global market and develop electric vehicles and other technologies that rely on advanced batteries.
E.SUN Bank and IBM are developing an AI governance framework for banking to address the challenges of managing AI systems in a way that meets legal and risk rules. The framework will provide clearer guidelines on how AI can be used within a bank and help to mitigate the risks associated with AI depl
An AI legal platform startup has reached a valuation of $5.5 billion, reflecting a boom in the market for legal AI platforms and agents. The rapid growth of this startup indicates a rising demand for AI-powered legal solutions, which can help streamline legal processes and improve efficiency.
Large Language Models (LLMs) are being explored for their potential applications in financial markets, including data analysis, risk assessment, and portfolio management. The use of LLMs in financial markets could lead to increased efficiency and accuracy, allowing for better decision-making and pot
The assumption that AGI must be multimodal is being challenged, with recent models defying basic intuitions about human intelligence. The success of these models is largely due to their ability to scale, rather than being thoughtful solutions to the problem of intelligence.
Adobe Research has made a breakthrough in video world models by using state-space models to unlock long-term memory, addressing a significant bottleneck in current models. This advancement has the potential to enable agents to plan and reason in dynamic environments, paving the way for more advanced
MIT researchers have introduced SEAL, a framework that enables large language models to update their own weights, bringing us closer to self-improving AI. This development has significant implications for the future of AI research and its applications.
The economics of multi-agent AI is a key factor in the financial viability of business automation workflows, with organisations facing constraints such as thinking tax and context explosion. Careful consideration of these economics is crucial for efficient, effective, and profitable multi-agent AI s
Meta has acquired Moltbook, an AI agent social network, to expand its AI capabilities. The deal is expected to drive innovation in AI agent development and enhance Meta's presence in the AI market.
