Lifeboat Foundation

As investors are pouring billions of dollars into AI companies, analysts are starting to become wary of an “AI bubble” that’s forming.

A research team led by Prof. Kwon Hyuk-jun of the DGIST Department of Electrical Engineering and Computer Science has developed a next-generation AI semiconductor technology that mimics the human brain’s efficiency in AI and neuromorphic systems.

Combinatorial optimization problems (COPs) have applications in many different fields such as logistics, supply chain management, machine learning, material design and drug discovery, among others, for finding the optimal solution to complex problems. These problems are usually very computationally intensive using classical computers and thus solving COPs using quantum computers has attracted significant attention from both academia and industry.

Over the past decade, organic luminescent materials have been recognized by academia and industry alike as promising components for light, flexible and versatile optoelectronic devices such as OLED displays. However, it is a challenge to find suitably efficient materials.

To address this challenge, a joint research team has developed a novel approach combining a machine learning model with quantum-classical computational molecular design to accelerate the discovery of efficient OLED emitters. This research was published May 17 in Intelligent Computing.

The optimal OLED emitter discovered by the authors using this “hybrid quantum-classical procedure” is a deuterated derivative of Alq₃ and is both extremely efficient at emitting light and synthesizable.

Amazon is betting big on Anthropic even as it plans to compete with it.

According to insiders, Microsoft and OpenAI are planning to build a $100 billion supercomputer called “Stargate” to massively accelerate the development of OpenAI’s AI models, The Information reports.

Microsoft and OpenAI executives are forging plans for a data center with a supercomputer made up of millions of specialized server processors to accelerate OpenAI’s AI development, according to three people who took part in confidential talks.

The project, code-named “Stargate,” could cost as much as $100 billion, according to one person who has spoken with OpenAI CEO Sam Altman about it and another who has seen some of Microsoft’s initial cost estimates.

In the future we will rely ever more on Artificial Intelligence to run our civilization, but what role will AI and computers playing in governing?

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AI smart assistant gadgets are starting to pop up. What could AI tech do in the future when we give it more autonomy and make it do things instead of us?

French software start-up Spare Parts 3D (SP3D) has launched the beta program of Théia, its new digital tool that can automatically create 3D models from 2D technical drawings.

As global geopolitical and economic factors pose challenges to supply chains, more companies are looking to digitize their inventories, allowing spare parts to be 3D printed locally and on demand. This digitization process, however, can be time-consuming and costly.

Integrating into the company’s AI-driven DigiPart software, SP3D’s new offering leverages deep learning technology to convert existing 2D drawings of spare parts into 3D printable models, reducing conversion times from days to minutes.