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Circa 2019

On February 28, at “New National Theater” in Tokyo, Professor Hiroshi Ishiguro of Osaka University announced the new model of the android “Alter” 「オルタ3」. The robot performed a fragment of the “Scary Beauty” android opera by Keiichiro Shibuya.

Alter 3 is part of a new Artificial Life (Alife) research project. The goal is to explore the future of human communication, and new forms of entertainment. Mixi Corporation, Tokyo National University, Osaka University, and Warner Music Japan Co. Ltd are behind the project.

A challenge of this research is to answer fundamental questions such as whether the robot can acquire a view of life on its own by interaction with the outside world, and through this, what is life.

The more the enterprise transitions from a mere digital organization to a fully intelligent one, the more data executives will come to realize that traditional monitoring and management of complex systems and processes is not enough.

What’s needed is a new, more expansive form of oversight – which lately has come to be known as “data observability.”

The distinction between observability and monitoring is subtle but significant. As VentureBeat writer John Paul Titlow explained in a recent piece, monitoring allows technicians to view past and current data environments according to predefined metrics or logs. Observability, on the other hand, provides insight into why systems are changing over time, and may detect conditions that have not previously been considered. In short, monitoring tells you what is happening, while observability tells you why it’s happening.

Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses.

Is GPT-3 available for free? The answer is Yes, and it is now available to all.

OpenAI recently ann ounced the expansion of its cloud-based OpenAI API service, which allows developers to create apps based on the research group’s powerful GPT-3 artificial intelligence model. Previously, developers had to sign up for a waitlist, and there was limited capacity.

“Data science is also absolutely key to our research at the Quadram Institute into the gut microbiome and its influence on human health, all of which is mediated by the complex interactions of micro-organisms, the food we eat, and the environment of the gastro-intestinal tract itself.”

E[datascientist] leverages AI and network science in order to surface scientific connections and explore multi-causal relationships, for example to better understand the microbiome. The platform also improves the digitisation, and reduces the siloisation, of legacy scientific R&D systems, which can be used in tandem with datasets from publicly available databases, all in a standardised format. In this way e[datascientist] supports the entire R&D workflow, accelerating the generation of novel insights and ultimately reducing time to market.

Eagle Genomics plans to continue to be engaged in discussions with a range of other organisations to ensure that its platform continues to become a burgeoning global life sciences knowledge discovery hub.

Is artificial superintelligence (ASI) imminent? Adam Ford will assess the evidence and ethical importance of artificial intelligence; its opportunities and risks. Drawing on the history of progress in AI and how today it surpasses peak human capability in some domains, he will present forecasts about further progress.

“Progress in AI will likely be explosive; even more significant than both the agricultural and industrial revolutions” — Adam will explore the notion of intelligence and what aspects are missing in AI now and how ‘understanding’ arises in biological intelligence and how it could be realised in AI over the next decade or two. He will conclude with takes on ideal AI outcomes and some recommendations for increasing the likelihood of achieving them.

BIO: Adam Ford (Masters of IT at RMIT) is an IEET Affiliate Scholar, a futurologist and works as a data/information architect, a data analyst and data engineer. He co-organised a variety of conferences in Australia, USA and China. Adam also convenes the global effort of ‘Future Day’ seeking to ritualize focus on the future to a specific day. He is a grass roots journalist, having interviewed many experts on the future, and is currently working on a documentary project focusing on preparing for the future of artificial intelligence.

CAMBRIDGE, Mass.—Massachusetts Institute of Technology researchers have reported a potentially significant advance with the development of microdrones, equipped with wings powered by artificial muscles in the form of elastomer-based actuators.

The development, claims MIT, could pave the way for futuristic applications, for example, swarms of the insect-sized robots that pollinate fields of crops or search for survivors buried in collapsed buildings.

Key to the innovation is a novel fabrication technique that builds actuators with a hugely extended component lifespan and increases the robot’s performance and payload compared to existing models.

Sixty-nine percent of global enterprises have already adopted or plan to adopt quantum computing in the near term, according to a new survey of enterprise leaders commissioned by Zapata Computing. The findings suggest that quantum computing is quickly moving from the fringes and becoming a priority for enterprise digital transformation, as 74% of enterprise leaders surveyed agreed that those who fail to adopt quantum computing will fall behind.

Broken down further, 29% of enterprises worldwide are now early adopters of quantum technology, while another 40% plan to follow in their footsteps in the near future. Adoption thus far is highest in the transportation sector, where 63% of respondents reported being in the early stages of quantum adoption. This may be a reaction to the ongoing supply chain crisis, which quantum could help relieve through its potential to solve complex optimization problems common in shipping and logistics.

Among early adopters, 12% expect to achieve a competitive advantage with the technology within one year, while another 41% expect an advantage within two years. The findings suggest confidence among enterprise leaders that quantum computing is no longer a distant reality, but a near-term opportunity. Machine learning in particular was cited as the top near-term use case for quantum computing.

The pace of replacing humans with robots in industries across China has been accelerating rapidly in the past couple of years, with observations on the ground suggesting that most industrial robotics and intelligent-manufacturing integrated service companies had at least doubled their annual sales in 2021.

Pandemic-led manufacturing export boom, concerns over China’s rapidly ageing society and a desire to save money have all contributed to the trend of replacing workers with machines.

I’ve posted some vids of her before. But here she says at 3:52 that she thinks stopping the aging process is farfetched.

Dr. Morgan Levine, a professor who specializes in the biology of aging, answers the internet’s burning questions about aging. Is there anyway to stop aging? Is aging a disease? Do you age slower in space? Dr. Levine answers all these questions and much more!

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