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Category: computing – Page 284

The Professions of the Future (1)

We are witnessing a professional revolution where the boundaries between man and machine slowly fade away, giving rise to innovative collaboration.

Photo by Mateusz Kitka (Pexels)

As Artificial Intelligence (AI) continues to advance by leaps and bounds, it’s impossible to overlook the profound transformations that this technological revolution is imprinting on the professions of the future. A paradigm shift is underway, redefining not only the nature of work but also how we conceptualize collaboration between humans and machines.

As creator of the ETER9 Project (2), I perceive AI not only as a disruptive force but also as a powerful tool to shape a more efficient, innovative, and inclusive future. As we move forward in this new world, it’s crucial for each of us to contribute to building a professional environment that celebrates the interplay between humanity and technology, where the potential of AI is realized for the benefit of all.

Continue reading “The Professions of the Future (1)” | >

I built my own 16-Bit CPU in Excel

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I designed my own 16-Bit Computer in Microsoft Excel without using Visual Basic scripts, plugins, or anything other than plain Excel. This system on a spreadsheet is based off of a custom Instruction Set Architecture that has a total of 23 instruction mnemonics and 26 opcodes.

The main design of the CPU is broken into a fetch unit, control unit, arithmetic logic unit, register file, PC unit, several multiplexers, a memory control unit, a 128KB RAM table, and a 128×128 16-color display.

Try it out down below:
https://github.com/InkboxSoftware/excelCPU

This video was sponsored by Brilliant.
computer chip by MITHUN T M from Noun Project.
Memory by Alvida from Noun project.
Calculator by Uswa KDT from Noun Project.

Finding and Erasing Quantum Computing Errors in Real-Time

With a quick pulse of light, researchers can now find and erase errors in real time.

Researchers have developed a method that can reveal the location of errors in quantum computers, making them up to ten times easier to correct. This will significantly accelerate progress towards large-scale quantum computers capable of tackling the world’s most challenging computational problems, the researchers said.

Led by Princeton University ’s Jeff Thompson, the team demonstrated a way to identify when errors occur in quantum computers more easily than ever before. This is a new direction for research into quantum computing hardware, which more often seeks to simply lower the probability of an error occurring in the first place.

Elon Musk’s Neuralink implants brain chip in first human

Jan 29 (Reuters) — The first human patient has received an implant from brain-chip startup Neuralink on Sunday and is recovering well, the company’s billionaire founder Elon Musk said.

“Initial results show promising neuron spike detection,” Musk said in a post on the social media platform X on Monday.

Spikes are activity by neurons, which the National Institute of Health describes as cells that use electrical and chemical signals to send information around the brain and to the body.

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