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AI and Tech Empowering a New Generation of Traders

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Artificial intelligence is no longer just a buzzword in finance — it’s the beating heart of the next generation of trading. But here’s the truth: the smartest algorithm in the world is only as powerful as the hardware it runs on. That’s where Marlinn Group is making its mark, bringing together bleeding-edge infrastructure and proprietary AI models to power its Marlinn Aggregator Pricing Bot (MAPB).

Hardware Meets Trading Intelligence

At the core of MAPB sits a custom AI stack built on:

NVIDIA Blackwell B200 & AMD MI300X GPUs — delivering the ultra-fast compute power needed to run transformer models in real time.

32TB LPDDR6 RAM & Intel Xeon Max CPUs — enabling parallel analysis of thousands of blockchain events per second.

Sub-microsecond execution relays via EigenLayer and Flashbots — ensuring trades settle faster than the competition.

This is not abstract capability — it’s raw horsepower that directly translates into profitable trades. While Nvidia’s own stock hovers around $172–174 per share, reflecting the global demand for AI infrastructure, Marlinn is putting that hardware to work in a way few others can: turning compute into capital.

MAPB in Action: Use Cases That Matter

Predicting the Future, Not Just the Present

Through its Quantum Predictive Mempool Intelligence, MAPB forecasts upcoming mempool patterns — not just pending transactions, but likely clusters of behavior. For traders, that means seeing the market’s next move before it happens.

Cross-Chain Capital Flow Without Friction

With its Autonomous Capital Routing Engine (ACRE), MAPB pulls liquidity across multiple blockchains in real time. Zero-knowledge bridges and Layer-2 rollups ensure trades execute atomically, without the risk of slippage or failed swaps.

Gas Efficiency as an Edge

Gas wars are often the difference between profit and loss. MAPB’s Neural Gas Fee Intelligence (NGFI) analyses congestion, validator behaviour, and time-of-day cycles, recalibrating fees at millisecond latency. Traders pay less, execute faster, and keep more of their profit.

Security That Evolves With the Threats

Why This Matters for Traders

Marlinn has already demonstrated MAPB’s consistency with a record of 98.2% profitable trades, and scalability that can cover 5–7.5% of the entire decentralized market trading volume. Combined with fast revenue distribution to account holders and fully auditable on-chain records, MAPB offers not just technology — but trust.

Riyan Verma, Marlinn’s Technology Director, sums it up best:

“The extraordinary gains in AI today aren’t possible without high-throughput infrastructure. Our integration of Blackwell, MI300X, and LPDDR6 memory empowers MAPB to predict, execute, and secure trades in ways the mainstream hasn’t seen yet. This is how we turn cutting-edge technology into real, measurable advantage for traders.”

The Future of AI in Trading

For Marlinn, this isn’t about chasing hype. It’s about building the blueprint for tomorrow’s financial infrastructure — where foresight, velocity, and security define profitability. In a world where milliseconds separate winners from losers, MAPB and its AI-driven hardware backbone are empowering a new generation of traders to stay ahead of the curve.

MAPB doesn’t just detect arbitrage; it defends itself. With the Zero-Knowledge Frontrun Shield (ZK-FS), proprietary trade logic is protected from competitors, while Self-Healing Smart Contracts patch vulnerabilities in real time, keeping capital safe.

Media Contact
Company Name: Marlinn Group
Contact Person: Media Manager
Email: Send Email
Country: United States
Website: www.marlinn.io



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AI anxiety: How technology is turning travel into a trap — and what you can do about it – Santa Fe New Mexican

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AI anxiety: How technology is turning travel into a trap — and what you can do about it  Santa Fe New Mexican



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AI technology targets traffic safety, aims to reduce 40,000 annual U.S. roadway deaths

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AI technology is being used all around us to help bolster safety, and a recent innovation is aiming to help prevent traffic accidents.

“It really is one of the biggest crises in the U.S., to see 40,000 people a year dying on our roadways,” Vice President of Rekor Systems Paul Zamsky said.

SEE ALSO | Schools across the nation looking into AI to boost security, prevent mass shootings

Rekor Systems was founded in 2017, with the goal of using AI and roadway data to make drivers safer.

“Detecting where crashes have happened without having to wait for a 911 call or identifying the areas that are riskier so that we could identify potential preventative measures and work with agencies to help prevent crashes from happening,” Zamsky said.

Zamsky said the technology has been out in pilot form for a few years now across the USA, and said it is more than just using historic data of crash hot spots.

“There’s weather, there’s contextual driving behavior like are you swerving, accelerating, decelerating, is there an event happening, is there construction happening,” he said.

Data from cars helps the company identify risky roadways and possible solutions. Zamsky said all the data they do get is anonymous and in an aggregated fashion; he said the car acts almost as a virtual sensor.

“That enables us really to see what is happening on the road without having to have physical infrastructure, millions of dollars of hardware and cameras and everything put on the side of the road to be able to understand those roadways,” Zamsky said.



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AI technology targets traffic safety, aims to reduce 40,000 annual U.S. roadway deaths

Published

on


AI technology is being used all around us to help bolster safety, and a recent innovation is aiming to help prevent traffic accidents.

“It really is one of the biggest crises in the U.S., to see 40,000 people a year dying on our roadways,” Vice President of Rekor Systems Paul Zamsky said.

SEE ALSO | Schools across the nation looking into AI to boost security, prevent mass shootings

Rekor Systems was founded in 2017, with the goal of using AI and roadway data to make drivers safer.

“Detecting where crashes have happened without having to wait for a 911 call or identifying the areas that are riskier so that we could identify potential preventative measures and work with agencies to help prevent crashes from happening,” Zamsky said.

Zamsky said the technology has been out in pilot form for a few years now across the USA, and said it is more than just using historic data of crash hot spots.

“There’s weather, there’s contextual driving behavior like are you swerving, accelerating, decelerating, is there an event happening, is there construction happening,” he said.

Data from cars helps the company identify risky roadways and possible solutions. Zamsky said all the data they do get is anonymous and in an aggregated fashion; he said the car acts almost as a virtual sensor.

“That enables us really to see what is happening on the road without having to have physical infrastructure, millions of dollars of hardware and cameras and everything put on the side of the road to be able to understand those roadways,” Zamsky said.



Source link

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