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The company also says that it can prove to be equally useful in the open seas, where it can help in ISR, search and rescue, and other missions.

“Imagine, I can upload the mission in a second, throw it from here, forget about it, and it will strike a high-value target (HVT) 40 miles away – fast, accurate, and quiet,” said Alexander Balan, XDown founder, in a post on LinkedIn.

XDown estimates that the cost of the PSK will be fairly competitive, making it a lucrative offering for the US armed forces. The price and its formal launch date is yet to be announced.

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DNA (deoxyribonucleic acid), the molecular “blueprint” carrying the genetic instructions that influence the growth, development, reproduction and predispositions of individual humans, can undergo different types of mechanical stress inside cells. For instance, it can be twisted or stretched, impacting its overall structure and dynamics.

Researchers at the University of York recently explored how DNA behaves under torsion and tension using molecular dynamics simulations. These atomic-scale simulations yielded interesting new findings, which were published in a paper in Physical Review Letters.

“I have always been interested in studying how DNA behaves inside the cell,” Dr. Agnes Noy, senior author of the paper, told Phys.org. “We are used to thinking of DNA as a relaxed ‘perfect’ , but the reality is far from that. Inside cells, DNA is under/overtwisted, resulting in the formation of ‘supercoiled’ loops, resembling what can happen to long cords or garden hoses in our homes.”

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Anders discusses his optimism about AI in contrast to Eliezer Yudkowsky’s pessimism.

#AGI #Optimism #pdoom.

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Professor Graham Oppy discusses the Turing Test, whether AI can understand, whether it can be more ethical than humans, moral realism, AI alignment, incoherence in human value, indirect normativity and much more.

Chapters:
0:00 The Turing test.
6:06 Agentic LLMs.
6:42 Concern about non-anthropocentric intelligence.
7:57 Machine understanding & the Chinese Room argument.
10:21 AI ‘grokking’ — seemingly understanding stuff.
13:06 AI and fact checking.
15:01 Alternative tests for assessing AI capability.
17:35 Moral Turing Tests — Can AI be highly moral?
18:37 Philosophy’s role in AI development.
21:51 Can AI help progress philosophy?
23:48 Increasing percision in the language of philosophy via technoscience.
24:54 Should philosophers be more involved in AI development?
26:59 Moral realism & fining universal principles.
31:02 Empiricism & moral truth.
32:09 Challenges to moral realism.
33:09 Truth and facts.
36:26 Are suffering and pleasure real?
37:54 Signatures of pain.
39:25 AI leaning from morally relevant features of reality.
41:22 AI self-improvement.
42:36 AI mind reading.
43:46 Can AI learn to care via moral realism?
45:42 Bias in AI training data.
46:26 Metaontology.
48:27 Is AI conscious?
49:45 Can AI help resolve moral disagreements?
51:07 ‘Little’ philosophical progress.
54:09 Does the human condition prevent or retard wide spread value convergence?
55:04 Difficulties in AI aligning to incoherent human values.
56:30 Empirically informed alignment.
58:41 Training AI to be humble.
59:42 Paperclip maximizers.
1:00:41 Indirect specification — avoiding AI totalizing narrow and poorly defined goals.
1:02:35 Humility.
1:03:55 Epistemic deference to ‘jupiter-brain’ AI
1:05:27 Indirect normativity — verifying jupiter-brain oracle AI’s suggested actions.
1:08:25 Ideal observer theory.
1:10:45 Veil of ignorance.
1:13:51 Divine psychology.
1:16:21 The problem of evil — an indifferent god?
1:17:21 Ideal observer theory and moral realism.

See Wikipedia article on Graham Oppy: https://en.wikipedia.org/wiki/Graham_… https://twitter.com/oppygraham #AI #philosophy #aisafety #ethics Many thanks for tuning in! Please support SciFuture by subscribing and sharing! Have any ideas about people to interview? Want to be notified about future events? Any comments about the STF series? Please fill out this form: https://docs.google.com/forms/d/1mr9P… Kind regards, Adam Ford

x: https://twitter.com/oppygraham.

#AI #philosophy #aisafety #ethics.

Continue reading “Philosophy of Artificial Intelligence — Graham Oppy” | >

“While some may suggest that a standalone quantum computer is still years away, the commercial opportunities from this breakthrough are here and now,” said Dr. Thomas Ehmer from the Healthcare business sector of Merck KGaA, Darmstadt, Germany. “The generation of meaningful synthetic data, specifically when you do not have many training data, is nontrivial and we see it as a new era for AI unlocked by quantum technologies. The Helios system, launching later this year will hopefully enable AI to be used in unprecedented ways and unlocking transformative potential across industries.”

Gen QAI leverages the unique capabilities of quantum computing to explore data complexities far beyond what classical computing systems and GPUs can handle. Quantinuum is collaborating with industry partners on Generative AI projects that harness the power of quantum computing in sectors such as automotive, pharmaceuticals and materials science. In the coming months, Quantinuum will share results from ongoing collaborations, showcasing the groundbreaking potential of quantum-driven advancements in Generative AI.

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Physicists have performed a simulation they say sheds new light on an elusive phenomenon that could determine the ultimate fate of the universe.

Pioneering research in around 50 years ago proposed that the universe may be trapped in a false —meaning it appears stable but in fact could be on the verge of transitioning to an even more stable, true vacuum state.

While this process could trigger a catastrophic change in the universe’s structure, experts agree that predicting the timeline is challenging, but it is likely to occur over an astronomically long period, potentially spanning millions of years.

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An international team of researchers, led by physicists from the University of Vienna, has achieved a breakthrough in data processing by employing an “inverse-design” approach. This method allows algorithms to configure a system based on desired functions, bypassing manual design and complex simulations. The result is a smart “universal” device that uses spin waves (“magnons”) to perform multiple data processing tasks with exceptional energy efficiency.

Published in Nature Electronics, this innovation marks a transformative advance in unconventional computing, with significant potential for next-generation telecommunications, computing, and neuromorphic systems.

Modern electronics face critical challenges, including high energy consumption and increasing design complexity. In this context, magnonics—the use of magnons, or quantized spin waves in —offers a promising alternative. Magnons enable efficient data transport and processing with minimal energy loss.

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