The James Webb Space Telescope has discovered a massive chain of 20 galaxies in the early universe, raising questions about the formation of the largest structures in the cosmos.
Artificial Intelligence.
Thought Is the New Currency.
Unearthing extraordinary riches from our “cognitive cache” through AI.
Investors are always looking for the next great breakthrough in technology. As computers are indispensable tools for managing everything from finance to healthcare and smart cities, it only makes sense to look at the next stage of development and A-rated quantum computing stocks.
Quantum computing is still in its early stages, but companies are already making inroads. Zapata surveyed executives at 300 companies with revenues of $250 million and computing budgets over $1 million. Of those, over two-thirds spent more than $1 million annually to develop quantum computing applications.
Quantum computer stocks represent companies trying to revolutionize cryptography, optimization, drug discovery and artificial intelligence. It holds promise for solving complex problems currently infeasible for classical computers due to their exponential time requirements.
An advancement in neutron shielding, a critical aspect of radiation protection, has been achieved. This breakthrough is poised to revolutionize the neutron shielding industry by offering a cost-effective solution applicable to a wide range of materials surfaces.
A research team, led by Professor Soon-Yong Kwon in the Graduate School of Semiconductors Materials and Devices Engineering and the Department of Materials Science and Engineering at UNIST has successfully developed a neutron shielding film capable of blocking neutrons present in radiation. This innovative shield is not only available in large areas but also lightweight and flexible.
The team’s paper is published in the journal Nature Communications.
In Pennsylvania and elsewhere, A.I. is being applied to the nation’s aging infrastructure. Is that wise?
Large Language Models (LLMs) have shown great capabilities in various natural language tasks such as text summarization, question answering, generating code, etc., emerging as a powerful solution to many real-world problems. One area where these models struggle, though, is goal-directed conversations where they have to accomplish a goal through conversing, for example, acting as an effective travel agent to provide tailored travel plans. In practice, they generally provide verbose and non-personalized responses.
Models trained with supervised fine-tuning or single-step reinforcement learning (RL) commonly struggle with such tasks as they are not optimized for overall conversational outcomes after multiple interactions. Moreover, another area where they lack is dealing with uncertainty in such conversations. In this paper, the researchers from UC Berkeley have explored a new method to adapt LLMs with RL for goal-directed dialogues. Their contributions include an optimized zero-shot algorithm and a novel system called imagination engine (IE) that generates task-relevant and diverse questions to train downstream agents.
Since the IE cannot produce effective agents by itself, the researchers utilize an LLM to generate possible scenarios. To enhance the effectiveness of an agent in achieving desired outcomes, multi-step reinforcement learning is necessary to determine the optimal strategy. The researchers have made one modification to this approach. Instead of using any on-policy samples, they used offline value-based RL to learn a policy from the synthetic data itself.
New process returns original quantum entanglement after certifying it, removing onerous “trusted source” requirement.
Is reality indistinguishable from information? Is consciousness a self-aware, self-modifying information field? Does information have intrinsic meaning? How does meaningfulness arise? How do sentient and non-sentient entities differ in the way they perceive and process information?…
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Could information be the stuff of which everything is made? Information seems so abstract, not a substance or a thing, so how could it be the building blocks of reality? There are ways and reasons how information can literally be reality, some scientists claim, and their ideas are revolutionary.
