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Over the next 3 to 5 years you will see more and more in tech (medical/ bio, chip/ semiconductors, software, AI, services, platform, etc.) adopting QC in their nextgen products and services. We’re (as in Vern B. — D-Wave co-founder and CEO terms) in the Era of Quantum Computing. I highly urge techies to learn about QC so that you remain relevant.

Google is being driven by need to prevent the NSA from breaking into its system to access confidential personal data of its millions of users. On the other hand, the NSA is bent on cracking the tough encryption systems Google and other tech firms use to shield their information from them. Quantum computers will attain this aim for both Google and the NSA.

Google recently said it’s gotten closer to building a universal quantum computer. A team of Google researchers in California and Spain has built an experimental prototype of a quantum computer that can solve a wide range of problems and has the potential to be scaled up to larger systems.

The Google prototype combines the two main approaches to quantum computing. One approach constructs the computer’s digital circuits using quantum bits or qubits in specific arrangements geared to solve a specific problem. The other approach is called adiabatic quantum computing (AQC).

Continue reading “Google and NSA Competing to Build World’s Most Powerful Quantum Computer” | >

Nice.

Scientists have designed new energy-carrying particles that improve the way electrons are transported and could be used to develop new types of solar cells and miniaturized optical circuitry.

The work of researchers at the University of California (UC) San Diego, MIT, and Harvard University has synthetically engineered particles called “topological plexcitons,” which can enhance a process known as exciton energy transfer, or EET.

It’s a problem scientists have been working on for years but it’s been tricky due to the short-ranged nature of EET, which is on the scale of only 10 nanometers, or 100 millionth of a meter, according to researchers. Moreover, the energy quickly dissipates as the excitons interact with different molecules.

Continue reading “New Energy-Carrying Particles Help Advance Solar-Cell Development” | >

Excellent article on iPS. Imagine many of us in our lives have designed or researched and develop new technologies or solutions to solve a specific set of problems or to address a specific set of opportunities; and ended up to our surprise to take in a different direction. This is one of those stories.

Induced pluripotent stem cells were supposed to herald a medical revolution. But ten years after their discovery, they are transforming biological research instead.

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There’s a saying among futurists that a human-equivalent artificial intelligence will be our last invention. After that, AIs will be capable of designing virtually anything on their own — including themselves. Here’s how a recursively self-improving AI could transform itself into a superintelligent machine.

When it comes to understanding the potential for artificial intelligence, it’s critical to understand that an AI might eventually be able to modify itself, and that these modifications could allow it to increase its intelligence extremely fast.

Once sophisticated enough, an AI will be able to engage in what’s called “recursive self-improvement.” As an AI becomes smarter and more capable, it will subsequently become better at the task of developing its internal cognitive functions. In turn, these modifications will kickstart a cascading series of improvements, each one making the AI smarter at the task of improving itself. It’s an advantage that we biological humans simply don’t have.

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List of the who’s who are leading some of key bio programs around nextgen bio/ living cell technologies.

According to GEN’s experts, synthetic biology isn’t yet plug-and-play, but cellular processes are being engineered into biosensing systems as well as biologics production. Soon, for tasks from theranostics to regenerative medicine, “there will be a synbio app for that.”

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