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IBM is building accessible, scalable quantum computing by focusing on three pillars:

**· **Increasing qubit counts.

**· **Developing advanced quantum software that can abstract away infrastructure complexity and orchestrate quantum programs.

**· **Growing an ecosystem of quantum-ready enterprises, organizations, and communities.

The next step in IBM’s goals to build a frictionless development experience will be the release of Qiskit Runtime in 2022, which will allow developers to build workflows in the cloud, offering greater flexibility. Bringing a serverless approach to quantum computing will also provide the flexibility to distribute workloads intelligently and efficiently across quantum and classical systems.

Professor Pattie Maes deep insights working with her research team of Joanne Leong, Pat Pataranutaporn, Valdemar Danry are world leading in their translational research on tech-human interaction. Their highly interdisciplinary work covering decades of MIT Lab pioneering inventions integrates human computer interaction (HCI), sensor technologies, AI / machine learning, nano-tech, brain computer interfaces, design and HCI, psychology, neuroscience and much more. I participated in their day-long workshop and followed-up with more than three hours of interviews of which over an hour is transcribed in this article. All insights in this article stem from my daily pro bono work with (now) more than 400,000 CEOs, investors, scientists/experts. MIT Media Lab Fluid Interfaces research team work is particularly key with the June 21 announcement of the Metaverse Standards Forum, a open standards group, with big tech supporting such as Microsoft and Meta, chaired by Neil Trevett, Khronos President and VP Developer Ecosystems at NVIDIA. I have a follow-up interview with Neil and Forbes article in the works. In addition, these recent announcements also highlight why Pattie Maes work is so important: Deep Mind’s Gato multi-modal, multi-task, single generalist agent foundational to artificial general intelligence (AGI); Google’s LaMDA Language Model for Dialogue Applications which can engage in free-flowing dialogue; Microsoft’s Build Conference announcements on Azure AI and OpenAI practical tools / solutions and responsible AI; OpenAI’s DALL-E 2 producing realistic images and art from natural language descriptions.

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The USB contained the home addresses and bank account details of every one of the 460,000 residents of Amagasaki, officials in the small industrial city in Japan’s Hyogo prefecture said in a statement Thursday. It also identified households receiving public assistance, they said.

Speaking at a news conference Friday, Takeuchi said the man “was in possession of his bag when he left the restaurant,” but then he “fell asleep on the street.” He woke up at 3 a.m. and went home before calling work six hours later to inform them he was taking the day off, Takeuchi added.

The most complete found in North America.


A gold miner found a mummified baby woolly mammoth in the TrÊŒondĂ«k HwĂ«chÊŒin Traditional Territory in Yukon, Canada.

According to a press release from the local government, the female baby mammoth has been named Nun cho ga by the First Nation Tr’ondĂ«k HwĂ«ch’in elders, which translates to “big baby animal” in the HĂ€n language.

Nun cho ga is the most complete mummified mammoth discovered in North America.

Merging COVID-19 + MonkeyFox +????

Martin Chartrand https://www.nbcnews.com/
/who-monkeypox-public-health



Scientists have recently reported discovering what they believe is the most massive black hole ever discovered in the early Universe.

It is 34 billion times the mass of our Sun, and it eats the equivalent of one Sun every day.

Alex SharpThe world needs to be subsidising heat pumps for the poorer regions of the world, to keep people safe.

2 Replies.

Chris BartlettThat’s alarmist, while they’re is global warming, there’s little evidence that we are yet seeing extreme weather previously unseen in Earth’s history or even during human history.

3 Replies.

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đŸ€– Officially, they’re called “lethal autonomous weapons systems.” Colloquially, they’re called “killer robots.” Either way you’re going to want to read about their future in warfare. 👇


The commander must also be prepared to justify his or her decision if and when the LAWS is wrong. As with the application of force by manned platforms, the commander assumes risk on behalf of his or her subordinates. In this case, a narrow, extensively tested algorithm with an extremely high level of certainly (for example, 99 percent or higher) should meet the threshold for a justified strike and absolve the commander of criminal accountability.

Lastly, LAWS must also be tested extensively in the most demanding possible training and exercise scenarios. The methods they use to make their lethal decisions—from identifying a target and confirming its identity to mitigating the risk of collateral damage—must be publicly released (along with statistics backing up their accuracy). Transparency is crucial to building public trust in LAWS, and confidence in their capabilities can only be built by proving their reliability through rigorous and extensive testing and analysis.

The decision to employ killer robots should not be feared, but it must be well thought-out and meticulously debated. While the future offers unprecedented opportunity, it also comes with unprecedented challenges for which the United States and its allies and partners must prepare.