AusScot Computers Services

16/10/2026

A cancer treatment invented at the University of Michigan is being hailed as one of the most significant non-invasive breakthroughs in oncology in decades.

Histotripsy uses focused ultrasound waves to mechanically destroy tumor tissue without a single incision, drug, or beam of radiation. Invented in 2002 by biomedical engineering professor Zhen Xu and her team, the method fires microsecond-long sound pulses that generate microscopic bubbles inside the tumor.

These bubbles rapidly expand and collapse, obliterating the cancer cells from the inside out through pure mechanical force.

In October 2023, the FDA approved histotripsy for liver tumors, commercialized through the U-M spinoff HistoSonics. Thousands of patients have already been treated, and clinical trials are now aggressively targeting kidney and prostate cancers.

Crucially, researchers discovered that even destroying part of a tumor triggers the body's immune system to fight off the rest.

To weaponize this technology globally, the university recently launched a $10 million Histotripsy Center.

The facility aims to expand the treatment to thyroid, pancreas, breast, brain, skin, and sarcoma cancers, while opening its equipment to global researchers for free.

Leaders believe this revolution will secure widespread approvals, transforming care for hundreds of thousands of patients within five years.

14/10/2026

The U.S. National Science Foundation is funding Nexus, a $20 million AI-focused supercomputer being built at Georgia Tech. It is designed to deliver more than 400 quadrillion operations per second, a scale comparable to billions of people performing millions of calculations each second.

Nexus will combine massive computing power with 330 TB of memory and 10 PB of flash storage to handle demanding AI and high-performance computing workloads. Researchers could use it for drug discovery, climate modeling, clean-energy research and robotics.

Unlike systems limited to major research centers, Nexus is being designed to give researchers across the U.S. access to advanced AI computing resources. The goal is to accelerate scientific discoveries by making powerful AI infrastructure available to a much wider research community.

Sources:
Georgia Tech & National Science Foundation - Nexus AI Supercomputer

12/10/2026

https://www.facebook.com/photo.php?fbid=1693086766256224&set=a.201905705374345&type=3

BREAKING: TAKE THAT! Zelenskyy publicly taunts Trump and Republicans after blowing up the Russian data centers that powers MAGA’s online hate machine!

It REALLY had to be done…

All of a sudden, social media got a LOT more friendly and traffic to right-wing sites dropped DRAMATICALLY after Ukraine blew up the Yandex data centers that powers Russia’s internet.

It turns out all of the bots that push disinformation and hate on social media depend on Russian internet to function – and they’re all silent now.

Speaking at the Warsaw Security Forum, the President of Ukraine took a victory lap and a shot across the bow at Trump and Elon Musk, who suddenly have found their social media posts are MUCH less popular than they were before.

“When we started responding to Russia’s operation against our data centers, and when our strikes reached Yandex’s data centers, it suddenly became a little easier to breathe on many social media platforms. A lot of people noticed it. There was less hate, less division, and fewer provocations.”

“Because there were fewer bots. And it’s pretty clear where those bots were coming from – if they disappeared when Yandex went offline. This proves, again and again, that Europe is not the source of the problems. Europe is not the one making everything more difficult.”

“Most importantly, we need people in America, every morning, when the day in Europe is already moving toward evening, to really see what is happening. To see the truth.”

The best part? Yandex has announced they won’t be able to repair the centers until 2028 due to chip shortages.

Ukraine has done a massive favor to the entire world by blowing up those data centers. Without the millions of bots pushing right-wing propaganda and hate speech left and right, maybe some kind of decency can be restored to our social media sites – and the flow of MAGA lies will come to a halt.

Thank you, President Zelensky! Slava Ukraini!

09/10/2026

07/10/2026

https://www.facebook.com/photo.php?fbid=1521066320053995&set=a.633699212124048&type=3

Phone scammers expecting an easy elderly target can instead spend 40 minutes talking to a grandmother who does not exist.

In November 2024, UK mobile network O2 unveiled Daisy, an AI “granny” built specifically to keep fraudsters occupied.

Her weapon is conversation.

Daisy listens to callers, turns their speech into text, generates replies through a custom language model, then answers with a synthetic voice in real time.

She stalls scammers with stories about family, knitting, her cat, and daily life, while supplying invented personal and banking details.

O2 developed the system with input from scambaiter Jim Browning and routed scam callers toward Daisy’s numbers.

Some fraudsters stayed connected for as long as 40 minutes, losing time they could have spent pursuing real people.

By 2025, Daisy had answered more than 1,000 scam calls and spent hundreds of hours tying up fraudsters.

For once, endless small talk became a cybersecurity tool.

04/10/2026

The human brain operates on roughly 20 watts despite containing about 86 billion neurons and trillions of synaptic connections. That makes it an extraordinarily energy-efficient biological computing system.

Researchers estimate that simulating a human-scale cortical model with around 20 billion neurons on an exascale supercomputer could require about 0.5 gigawatts (500 million watts) of electricity. That is roughly 25 million times the brain’s power consumption and enough electricity to power hundreds of thousands of homes.

The huge gap comes partly from how the brain processes information: neurons communicate through sparse, event-driven activity while memory and computation occur within the same interconnected biological network. Conventional computers, meanwhile, consume substantial energy moving data between separate processors and memory.

Scientists are developing neuromorphic computers inspired by the brain to narrow this efficiency gap. Technologies such as IBM’s TrueNorth and Intel’s Loihi use artificial neurons and event-driven processing, potentially paving the way for powerful AI systems that require dramatically less energy.

Source:
National Institutes of Health - NIH
Chetan Singh Thakur - Large-Scale Neuromorphic Spiking Array Processors - PMC