Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 431

A new kind of transistor allows AI hardware to remember and process information more like the human brain does.

By Anna Mattson

Artificial intelligence and human thought both run on electricity, but that’s about where the physical similarities end. AI’s output arises from silicon and metal circuitry; human cognition arises from a mass of living tissue. And the architectures of these systems are fundamentally different, too. Conventional computers store and compute information in distinct parts of the hardware, shuttling data back and forth between memory and microprocessor. The human brain, on the other hand, entangles memory with processing, helping to make it more efficient.

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The platform’s ability to interface with a variety of data sources and observability tools makes it a versatile solution for businesses operating in diverse IT environments, whether on-premises, in the cloud, or in hybrid settings. By serving as an intelligence layer that rationalizes data from multiple observability and infrastructure sources, Flip AI simplifies the workload for IT operations teams and supports more efficient operational practices.

This innovative use of LLMs for operational efficiency in IT environments presents a significant advancement in observability, offering enterprises a powerful tool to enhance system reliability and performance while reducing the economic impact of downtime.

As LLMs continue to evolve, their integration into observability tools is transforming the landscape of infrastructure and workload observability. The immediate benefits of improved performance monitoring and security are just the beginning.

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They’ll be kind, supportive, empathetic.

DeepMind cofounder and Microsoft AI CEO Mustafa Suleyman took the stage at TED2024 last week to lay out his vision for an AI-driven future. And according to the AI boss, if you really want to grasp how impactful AI might be to the human species, it might be useful to think of AI as another “species” entirely.

“I think AI should best be understood as something like a new digital species,” Suleyman — who left the Google-owned DeepMind lab in 2022 — told the crowd.

“Now, don’t take this too literally,” he admonished, “but I predict that we’ll come to see them as digital companions, new partners in the journeys of all our lives.”

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In line with that ambition, Samsung on Tuesday said it has begun mass-producing high-performance memory chips, like HBM3E 8H (8-layer) DRAM, as well as V9 NAND chips, typically used in enterprise servers, AI and cloud devices. The company said it also intends to produce HBM3E 12H (12-layer) chips in the second quarter of this year.

Samsung is the world’s largest memory chip maker and competes with Micron and SK Hynix, a Korean memory chip maker, in the market for HBM chips. Micron kicked off its mass production of 8-layer HBM3E semiconductors in February, and last month at Nvidia’s GTC 2024, SK Hynix said it had also started mass producing HBM3E chips.

As for its foundry business, Samsung said its development of 3-nanometer and 2-nanometer AI chips is “progressing smoothly.”

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