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Apple has released an update to the iPad Air for 2026, now powered by the M4 processor and equipped with new proprietary connectivity chips. The new M4 chip makes the new iPad Air 2026 30 percent faster than its predecessor. The RAM was also upgraded to 12GB from 8GB, with a faster bandwidth of 120Gbps. For the specs-heads out there, the new M4 chipset consists of an 8-core CPU, 9-core GPU, and a 16-core Neural Engine that’s 3x faster than the M1. Apart from the chipset, the new Air has Apple’s N1 chip that brings the latest WiFi 7, Bluetooth 6, and Thread smart home protocol to the device. The cellular version of the tablet comes with an Apple C1X modem that offers 50% faster speeds while utilizing 30% less power. It still comes in 11-inch (28.93Wh battery) and 13-inch (36.59Wh battery) models, but still uses a dated Liquid Retina LCD panel with only a 60Hz refresh rate. On the upside, it ships with a 20W USB-C power adapter for charging. The new M4-powered iPad Air ...

Swiss company develops low energy “Biocomputer” using 16 human mini-brains

Biocomputer-Human-Mini-Brains-Swiss

If you have wondered where the concept of Artificial Intelligence originated, the answer lies in the many computer scientists who have been closely studying and attempting to imitate the human brain for years.

These computer scientists have tried to copy the structure of our brain through neural networks with amplified processing skills to come up with what we now know simply as “AI.” However, the more technology advances and the potential of AI is harnessed frequently, the more energy is consumed.

Ironically, this is when scientists return to nature where a Swiss start-up company recently launched what they dub as a “biocomputer,” one that can attach to functioning, pulsing brain cells. The company also states that it uses substantial amount of energy than traditional, bit-based computers.

FinalSpark’s (the said startup company) online platform harnesses spherical clusters of laboratory-produced human brain cells known as organoids instead of simply merging biological ideas into computing. This research in organoids is significant because it is studied at a period when artificial neural networks have gained popularity.

There is a total of 16 organoids kept within four arrangements that are then connected to eight electrodes each, as well as a microfluidics system that provides water and nutrients for the cells.

This is known as wetware computing, where researchers’ abilities are put to use to culture organoids in the lab. It’s a recent technology that lets scientists study what are technically mini replicas of various organs.

FinalSpark’s comment on their developed technology

According to the company, the brain-machine interface system bioprocessors that they are continuously developing takes up a million times less power than traditional digital processors.

Biocomputer-Human-Mini-Brains

While there are no specific numbers yet for factors such as energy usage or processing power, the research team comments that teaching just one large language model like the GPT-3 already requires 10 gigawatt hours, equivalent to 6,000 times the energy that a single European citizen consumes in a year.

On the other hand, our brain’s 86 billion neurons consume only a fraction of that same energy, a total of just 0.3 kilowatt hours per day.

Latest reports on technology also mentions the rise of the Artificial Intelligence industry and how frequent use of AI has the capacity to consume 3.5 percent of the world’s electricity by 2030. The IT industry alone has already contributed 2 percent of global CO2 emissions.

FinalSpark as not the only company returning to nature for assistance

While the Swiss corporation has developed their biocomputers, they are not entirely the first company to try harnessing mother nature in attempt to connect probes to biological systems or even program neural networks so they work on particular input-output functions upon command.

In fact, researchers from the United States also built a bioprocessor just last year that allows a computer hardware to attach to brain organoids. The system was quick to recognize speech patterns with such a bioprocessor.

At current the system serves as a way for researchers and computer scientists to perform lengthy experiments on brain organoids, just like those that have already come before it. Of course, the objective of having a new, energy-efficient computing approaches is never far from these experiments.

With the continuous experiments and development, FinalSpark can confidently say that researchers can now connect to its system remotely, with the sustainability of the mini-brains lasting up to 100 days (their electrical activity is monitored 24/7.)

A final note from the company states that, this year, the system is available for research purposes and is free for researchers to utilize to work towards the end goal.

The start-up company hopes that in the future, they can extend the capabilities of their platform to manage a wider range of experimental protocols significant and relating to wetware computing. This would include injecting molecules and drugs into organoids for testing.

We look forward to more updates on FinalSpark’s continuous efforts to achieve a perfected biocomputer and make use of mother nature balanced with the rise in technology.

Source: ScienceAlert

This article, Swiss company develops low energy “Biocomputer” using 16 human mini-brains, was originally published at NoypiGeeks | Philippines Technology News, Reviews and How to's.


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