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A new concept called organoid intelligence, with the aim of developing a new generation of biocomputers, has recently been detailed by a group of researchers. They want to harness advances in the reproduction of human brain cells in vitro to offer superior intelligence to the computers and smart devices of the future. This technology promises to be much more powerful and efficient than any form of artificial intelligence as we know it.

This notion of organoid intelligence is described in a paper outlining a roadmap to developing this technology published in the journal Frontiers of Science, by numerous scientists, mainly from Johns Hopkins University in Baltimore. According to them, work on cerebral organoids, derived from human stem cells, should make it possible in the relatively near future to reproduce entities endowed with memory and a genuine capacity for learning. Organoids are miniature organs grown in vitro. The term organoid intelligence (OI) encompasses all these developments, leading to a form of biological computing — or biocomputing — that leverages neurons bred in a lab. All of which is enough to make the likes of ChatGPT seem outdated already.

Complex interfaces could eventually be networked, with brain organoids connected to sensory organoids such as retinal organoids. This could, for example, lead to new therapeutic applications.

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More than 107 million science papers have just been cataloged for the public’s use thanks to a new project called The General Index.

Typically, academic studies exist behind a paywall — locking up potentially important information not only from the public but, perhaps more importantly, from other scientists.

The General Index wants to set that information free. The index acts almost like a Google search for scientific papers, but with a twist. Only snippets of the papers are provided, so it is up to users to mine the data and make sense out of it all.

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Published in the journal Quantum Science and Technology, Saleh’s research focused on a novel quantum computing technique that should — at least on paper — be able to reconstitute a small object across space “without any particles crossing.”

While it’s an exciting prospect, realizing his vision will require a lot more time and effort — not to mention next-generation quantum computers that haven’t been designed, let alone built yet. That is if it’s even possible at all.

Counterportation can be achieved, the study suggests, by the construction of a small “local wormhole” in a lab — and as the press release notes, plans are already underway to actually build the groundbreaking technology described in the paper.

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Recent research reveals that a peptide called “Nickelback” may have played a huge role in kick-starting life on earth. The substance may also serve as a clue in the long-standing search for extraterrestrial intelligence.

Nickelback Peptide Molecule

A research team from Rutgers University and the City College of New York was able to pinpoint a simple peptide protein called nickelback. While it mirrors the name of a famous Canadian rock band, the name of the peptide refers to the backbone of the protein, which consists of two atoms of nitrogen linked to a nickel atom pair and an amino acid chain.

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Driving Toward the Elimination of Cancer — Joel Greshock — VP, Oncology, Data Science & Digital Health, Janssen Pharmaceutical Companies of Johnson & Johnson.

Joel Greshock is VP, Oncology, Data Science & Digital Health, Janssen Research & Development (https://www.janssen.com/oncology/leadership-team). In this position, he is responsible for creating unique and actionable medical insights using large and increasingly available datasets. The focus of this research includes discovering novel therapeutic targets, identifying areas of unmet medical need, and enhancing clinical trial recruitment and execution.

Prior to joining Janssen R&D, Joel served as Vice President of Bioinformatics at Neon Therapeutics, Inc., where he built and managed the Data Sciences organization. At Neon, he was responsible for the design and deployment of personalized cancer therapies now under clinical evaluation.

Prior to joining Neon, Joel served as Head of Oncology Translational Informatics for Novartis, where he was responsible for the correlation of patient outcomes with molecular biomarkers, identification of mechanisms of clinical resistance and computational research for assets approaching or being evaluated in early phases of development.

Before joining Novartis, Joel assumed numerous roles for GlaxoSmithKline Oncology, which included Head of Bioinformatics. Earlier in his career, Joel was a Data Analyst at Abramson Family Cancer Research Institute at the University of Pennsylvania, where he built early generation microarray platforms and developed widely used predictive models for cancer predisposition mutations.

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We don’t learn by brute force repetition. AI shouldn’t either.

Despite impressive progress, today’s AI models are very inefficient learners, taking huge amounts of time and data to solve problems humans pick up almost instantaneously. A new approach could drastically speed things up by getting AI to read instruction manuals before attempting a challenge.

One of the most promising approaches to creating AI that can solve a diverse range of problems is reinforcement learning, which involves setting a goal and rewarding the AI for taking actions that work towards that goal. This is the approach behind most of the major breakthroughs in game-playing AI, such as DeepMind’s AlphaGo.

As powerful as the technique is, it essentially relies on trial and error to find an effective strategy. This means these algorithms can spend the equivalent of several years blundering through video and board games until they hit on a winning formula.

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

According to a report done by Surfshark VPN, out of the approximately 5 billion of internet users, over 1.6 billion of them (31% of users) use a VPN. That’s close to a fifth of the worlds population.

A VPN, or a Virtual Private Network, is a mechanism for creating a secure connection between a computing device and a computer network, or between two networks, using an insecure communication medium such as the public Internet. A VPN can extend a private network (one that disallows or restricts public access), enabling users to send and receive data across public networks as if their devices were directly connected to the private network.

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