Scientists worldwide are already using artificial intelligence to sort through huge amounts of data, suggesting that the future of astronomy belongs to AI.
Category: robotics/AI – Page 829
Machine Learning in the Search for Agnostic Biosignatures
That looks promising. 90% accuracy isn’t bad. Now the trick is getting there though we have options on our own solar system possibly. You never know until you try. I doubt we’ll find high level life remnants but perhaps something much less like at most insect level but more likely microbial. I’m just guessing of course.
A team of scientists supported in part by NASA have outlined a simple and reliable method to search for signs of past or present life on other worlds that employs machine learning techniques. The results show that the method can distinguish both modern and ancient biosignatures with an accuracy of 90 percent.
The method is able to detect whether or not a sample contains materials that were tied to biological activity. What the research team refers to as a “routine analytical method” could be performed with instruments on missions including spacecraft, landers, and rovers, even before samples are returned to Earth. In addition, the method could be used to shed light on the history of ancient rocks on our own planet.
The team used molecular analyses of 134 samples containing carbon from abiotic and biotic sources to train their software to predict a new sample’s origin. Using pyrolysis gas chromatography, the method can detect subtle differences in a sample’s molecular patterns and determine whether or not a sample is biotic in origin. When testing the method, samples originating from a wide variety of biotic sources were identified, including things like shells, human hair, and cells preserved in fine-grained rock. The method was even able to identify remnants of life that have been altered by geological processes, such as coal and amber.
A new AI lie detector can reveal its “inner thoughts”
“Wish I had this to cite,” lamented Jacob Andreas, a professor at MIT, who had just published a paper exploring the extent to which language models mirror the internal motivations of human communicators.
Jan Leike, the head of alignment at OpenAI, who is chiefly responsible for guiding new models like GPT-4 to help, rather than harm, human progress, responded to the paper by offering Burns a job, which Burns initially declined, before a personal appeal from Sam Altman, the cofounder and CEO of OpenAI, changed his mind.
“Collin’s work on ‘Discovering Latent Knowledge in Language Models Without Supervision’ is a novel approach to determining what language models truly believe about the world,” Leike says. “What’s exciting about his work is that it can work in situations where humans don’t actually know what’s true themselves, so it could apply to systems that are smarter than humans.”
Exclusive: ChatGPT-owner OpenAI is exploring making its own AI chips
SAN FRANCISCO/WASHINGTON, Oct 5 (Reuters) — OpenAI, the company behind ChatGPT, is exploring making its own artificial intelligence chips and has gone as far as evaluating a potential acquisition target, according to people familiar with the company’s plans.
The company has not yet decided to move ahead, according to recent internal discussions described to Reuters. However, since at least last year it discussed various options to solve the shortage of expensive AI chips that OpenAI relies on, according to people familiar with the matter.
These options have included building its own AI chip, working more closely with other chipmakers including Nvidia and also diversifying its suppliers beyond Nvidia (NVDA.O).
Northrop Grumman to join Voyager Space commercial space station project
LOS ANGELES — Northrop Grumman will drop plans to develop its own commercial space station and instead assist a competing effort led by Voyager Space, the companies announced Oct. 4.
Under the new partnership, the companies will cooperate on the development of fully autonomous docking systems for Northrop’s Cygnus cargo spacecraft, allowing it to dock with Voyager’s Starlab space station. The companies also said they will “further explore opportunities to strengthen the development of Starlab” that could include Northrop providing engineering design services for that station. Ars Technica first reported about a potential partnership between the companies.
“This collaboration is a major step forward for the Starlab program,” said Dylan Taylor, chairman and chief executive of Voyager Space, in a statement. “Northrop Grumman’s technical capability and proven success in cargo resupply services will play a pivotal role as we accelerate Starlab’s development.”
Harnessing AI & Longevity Science — A Blueprint for Lifespan Extension (Tina Woods)
Tina Woods, serving as Healthy Longevity Champion for the National Innovation Center for Aging, sets forth her vision for a blueprint for healthy longevity for all. Her emphasis is on reaping the “longevity dividend” and achieving five additional years of healthy life expectancy while reducing health and wellbeing inequality. Woods elaborates on the role of emerging technologies like AI, machine learning, and advanced data analysis in comprehending and influencing biological systems related to aging. She also underscores the crucial role of lifestyle changes and the consideration of socio-economic factors in increasing lifespan. The talk also explores the burgeoning field of emotion AI and its application in developing environments for better health outcomes, with a mention of “Longevity Cities,” starting with a trial in Newcastle. In closing, Woods mentions the development of a framework for incentivizing businesses through measurement of their contribution to health in three areas: workforce health, consumer health through products and services, and community health. Woods envisions a future where businesses impacting health negatively are disincentivized, and concludes with the hope that the UK’s healthy longevity innovation mission can harness longevity science and data innovation to improve life expectancy.
00:00:00 — Introduction, National Innovation Center for Aging.
00:00:56 — Discussion on stagnating life expectancy and UK’s life sciences vision.
00:03:50 — Technological breakthroughs (including AI) in analyzing biological systems.
00:06:22 — Understanding what maintains health & wellbeing.
00:08:30 — Hype, hope, important of purpose.
00:10:00 — Psychological aging and “brain capital.“
00:13:15 — Ageism — a barrier to progress in the field of aging.
00:15:46 — Health data, AI and wearables.
00:18:44 — Prevention is key, Health is an asset to invest in.
00:19:13 — Longevity Cities.
00:21:19 — Business for Health and industry incentives.
00:23:13 — Closing.
About the Speaker:
Tina Woods is a social entrepreneur and system architect with a focus on health innovation at the intersection of science, technology, policy, and investment. She is the Founder and CEO of Collider Health and Business for Health, driving systemic change for better health through these platforms. She contributes to key UK health strategies and initiatives, like UKRI’s Healthy Ageing Industrial Strategy, and served as the Healthy Longevity Champion for the National Innovation Centre for Ageing. Woods has made significant contributions to AI in health and care, co-leading the Quantum Healthy Longevity Innovation Mission and authoring the book, “Live Longer with AI.” Previously, she served as the director of the All Party Parliamentary Group for Longevity secretariat. Woods is also the CEO & Founder of Collider Science, a social enterprise that encourages young people’s interest in science and technology. She holds a degree in genetics from Cornell University and an MBA from Bayes Business School in London.
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Generative AI Is Revolutionizing Music: The Vision For Democratizing Creation
For me, one of the most exciting aspects of the recent wave of generative AI technology is the democratizing impact it has on creativity. We’ve seen how anyone can use tools like ChatGPT or Midjourney to express their ideas with words or pictures. And the way we create and listen to music is about to be turned on its head, too.
Loudly is a generative AI-driven music platform that aims to allow anybody to “create, customize and discover music.” Recently, I was joined by founder and CEO Rory Kenny for my podcast, covering a number of topics that I personally find fascinating.
Does AI threaten human creativity by ushering in a future where all of our art and entertainment is conjured up from… More.
Explore how Loudly, an innovative AI-driven music platform, is revolutionizing and democratizing music creation, enabling users to craft unique soundtracks.
The Amazing Ways Chinese Tech Giant Alibaba Uses Generative Artificial Intelligence
Not to be outdone in the generative artificial intelligence (AI) race, China-based tech giant Alibaba has recently unveiled a number of its own tools and models. Its flagship is its ChatGPT challenging large language model (LLM) called Tongyi Qianwen — cited as one of the largest and most powerful generative chatbots produced so far.
Alibaba is best known in the West as an e-commerce titan, in many ways analogous to Amazon. Like that US company, it’s also a global leader in cloud services provided through its subsidiary Alibaba Cloud.
Its dominance across retail and web services means it is well-positioned to create apps enabling its business customers to launch their own generative AI… More.
Discover how Alibaba is revolutionizing the generative AI landscape with its powerful chatbot, Tongyi Qianwen, exploring unique applications.