Ukrainian Drone Operator: See Mom, Those Videogames Were Useful after All

A man checks the debris next to a damaged office building in the Moscow City following a reported Ukrainian drone attack in Moscow, Russia, August 1, 2023. (Reuters)
A man checks the debris next to a damaged office building in the Moscow City following a reported Ukrainian drone attack in Moscow, Russia, August 1, 2023. (Reuters)
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Ukrainian Drone Operator: See Mom, Those Videogames Were Useful after All

A man checks the debris next to a damaged office building in the Moscow City following a reported Ukrainian drone attack in Moscow, Russia, August 1, 2023. (Reuters)
A man checks the debris next to a damaged office building in the Moscow City following a reported Ukrainian drone attack in Moscow, Russia, August 1, 2023. (Reuters)

The four propellers hum like a bee, the black drone zips into the air. Mykhailo, a 25-year-old Ukrainian soldier, stands under a tree surveying the whizzing landscape through his goggles, steering with fingertips on the remote.

"Every time I put on my goggles and take the joystick, I think about my mother telling me those video games won't do me any good," he says with a smile.

"Well, if this isn't useful, then what is?"

Drones have played a central role in the Russia-Ukraine war, deployed by both sides. There are big drones that can fly hundreds of miles, some that hover over the battlefield taking pictures and others that carry weapons to drop on targets.

But there may be no more characteristic weapon of this war than the tiny, inexpensive "first-person view" (FPV) drones, designed to crash straight into a target on the battlefield, steered by a pilot wired into a virtual reality headset.

It is a constant game of cat and mouse against enemy troops, who try to interfere with remote signals using electronic warfare (EW) systems, said Mykhailo, who did not give a surname and uses the military call sign "Joker".

"You cannot work from the same position many times, because the enemy reacts to it, turns on the EW, jams our drones," he explained in between test flights of a new batch of drones received by his unit in southern Ukraine's frontline Zaporizhzhia region.

"We need to constantly look for new positions, where to fly from, and for new targets."

Unlike other drones that can be sent up and monitored, the FPV drones never simply hover; they are always flying fast and looking forward. Their cameras don't even point downwards.

"The pilot must always be in full control of the drone, of its flight," Mykhailo says. "It can attack at speed, from height, in various ways - each pilot flies the drone in his own style - but it always attacks at speed."



Google Adds SandboxAQ's Quantitative AI Models to Cloud Offerings

The logo of Google is seen outside Google Bay View facilities during the Made by Google event in Mountain View, California, US August 13, 2024. REUTERS/Manuel Orbegozo/File photo
The logo of Google is seen outside Google Bay View facilities during the Made by Google event in Mountain View, California, US August 13, 2024. REUTERS/Manuel Orbegozo/File photo
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Google Adds SandboxAQ's Quantitative AI Models to Cloud Offerings

The logo of Google is seen outside Google Bay View facilities during the Made by Google event in Mountain View, California, US August 13, 2024. REUTERS/Manuel Orbegozo/File photo
The logo of Google is seen outside Google Bay View facilities during the Made by Google event in Mountain View, California, US August 13, 2024. REUTERS/Manuel Orbegozo/File photo

Quantum startup SandboxAQ said its large quantitative models (LQMs) will be available on Google Cloud, the company told Reuters on Tuesday, as cloud providers look to AI tech to fuel growth.

LQMs are designed to handle large-scale numerical datasets, perform complex calculations and statistical analysis, and can be used to develop sophisticated financial models or to automate trading strategies.

The partnership will make it easier for enterprises to use Google Cloud to develop its LQMs and deploy them, allowing Sandbox, a firm spun off from Google-parent Alphabet in 2022, to expand the distribution of its platform to a larger pool of potential customers.

"More than 80% of the economy is run by math and quantitative relationships. And that's where quantitative AI really shines, and it's very complementary to language models," CEO SandboxAQ, Jack Hidary said.

This is the first time Sandbox will have its models available on a third-party platform.

The Palo Alto-based startup secured $300 million in a funding round last month, boosting its valuation to $5.6 billion and was backed by investor firms including Fred Alger Management, T. Rowe Price, and Breyer Capital.

SandboxAQ said its models are used in sectors such as life sciences, financial services and navigation.

Google has been intensifying its efforts in quantum computing and announced in December that it had made significant progress by developing a new generation of quantum chips, overcoming a major challenge in the field.

Microsoft also touted the potential of quantum computing earlier this month and unveiled its "Quantum Ready program", while Nvidia's CEO Jensen Huang said the technology's practical use was likely two decades away.