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It seems that Sony is about to take place in the humanoid robot race.

On Tuesday, Sony Group Corporation, the famous Japanese electronics and media conglomerate, claimed that once it determines the best applications for humanoid robots, it can produce them swiftly. For those waiting for “real” humanoid robots for decades, such news will be a treat for their ears.

“In terms of technology, several companies in the world including this one have enough technology accumulated to make them swiftly once it becomes clear which usage is promising,” Sony Chief Technology Officer Hiroaki Kitano told Reuters in an interview.

Elon Musk’s Twitter looks to be under investigation by San Franscisco building inspectors for installing bedrooms at its headquarters.

Elon Musk seems to be getting a lot of criticism right now. Another Twitter storm is brewing over the company’s decision to put beds, nightstands, and comfortable armchairs in the Twitter headquarters in San Francisco.

According to Forbes, Musk transformed portions of Twitter’s corporate offices into beds for “hardcore” employees. Musk allegedly made a move to show his support for staff members who were so dedicated to their jobs that they were willing to sleep at work.

Thanks, Pinecone, for sponsoring this video! Click my exclusive link https://www.influencerlink.org/SHEQZ to start earning cash on Pinecone!Last Video: How We Will Build An Underground Civilization On Mars!
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Thanks for this awesome review. I’ve been trying to follow the recent papers about the unfolding stuff, and Hoel’s paper, but having read this post I feel much better about my shorthand summary: 1. Any theory that is testable will necessarily rely on measuring behavior of some system 2. Any given behavior is independent of Phi 3. Phi is not a testable value for a given theory.

Many ideas have come and gone, but Project Daedalus was a uniquely ambitious plan from the 1970s that never quite came to be.

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In the philosophy of mind, the multiple realizability thesis contends that a single mental kind (property, state, event) can be realized by many distinct physical kinds. A common example is pain. Many philosophers have asserted that a wide variety of physical properties, states, or events, sharing no features in common at that level of description, can all realize the same pain. This thesis served as a premise in the most influential argument against early theories that identified mental states with brain states (psychoneural, or mind-brain identity theories). It also served in early arguments for functionalism. Nonreductive physicalists later adopted this premise and these arguments (usually without alteration) to challenge all varieties of psychophysical reductionism. The argument was even used to challenge the functionalism it initially was offered to support. Reductionists (and other critics) quickly offered a number of responses, initially attacking either the anti-reductionist or anti-identity conclusion from the multiple realizability premise, or advocating accounts of the reduction relation that accommodated multiple realizability. More recently it has become fashionable to attack the multiple realizability premise itself. Most recently the first book-length treatment of multiple realizability and its philosophical import has appeared.

This entry proceeds mostly chronologically, to indicate the historical development of the topic. Its principle focus is on philosophy of mind and cognitive science, but it also indicates the more recent shift in emphasis to concerns in the metaphysics of science more generally. It is worth mentioning at the outset that multiple realizability has been claimed in physics (e.g., Batterman 2000), biochemistry (Tahko forthcoming) and synthetic biology (Koskinen 2019a, b). After more than fifty years of detailed philosophical discussion there still seems to be no end in sight for novel ideas about this persistent concern.

The deluge of sensors and data generating devices has driven a paradigm shift in modern computing from arithmetic-logic centric to data-centric processing. Data-centric processing require innovations at the device level to enable novel compute-in-memory (CIM) operations. A key challenge in the construction of CIM architectures is the conflicting trade-off between the performance and their flexibility for various essential data operations. Here, we present a transistor-free CIM architecture that permits storage, search, and neural network operations on sub-50 nm thick Aluminum Scandium Nitride ferroelectric diodes (FeDs). Our circuit designs and devices can be directly integrated on top of Silicon microprocessors in a scalable process. By leveraging the field-programmability, nonvolatility, and nonlinearity of FeDs, search operations are demonstrated with a cell footprint 0.12 μm2 when p.

This post is also available in: he עברית (Hebrew)

How soon will we be seeing robots walking about the street? How soon will robots join medical staff in hospitals and aid real people in life or death situations? How soon will robots replace health staff? The World Health Organization (WHO) estimates that we will see a global shortfall of 12 million health workers by 2025.

From lifting patients and delivering lab samples, to cleaning and providing companionship, care robots can help with a range of tasks across a hospital or care setting. With nurses spending up to a third of their shift on menial tasks such as collecting equipment, the expectation is that care robots will be able to take ownership of these more mundane jobs, letting health staff focus on more important tasks.