Lifeboat Foundation

Article by John Gao, President of 5.5G Domain, Huawei

As industries increasingly lean on new digital technologies to streamline operations, digital twins are being used by business to generate complete and dynamic overviews of their assets and their processes. The Internet of Things (IoT) is key to realizing this vision. Following 80 years of development, RFID technology, which offers low cost and zero power consumption, is currently the most widely used technology in the retail and logistics industries that enables this. However, this technology application scenarios are limited. It is hampered by the very short distance it can transmit its signal, is relatively expansive to integrate and is not very advanced when it comes to automation.

By reducing costs and the need for labor, a passive IoT solution could make sensor networks far more economically viable. Passive IoT technologies could support two key IoT application scenarios and disrupt current logistics best practice and business operations. Passive IoT technologies could make sensor networks far more economically viable, while dramatically increasing the efficiency of warehouse stocktaking and other industrial processes by tracking hundreds of thousands of items over a 200m2 area in real time.

Exclusive: party calls for developers without a licence to be barred from working on advanced AI tools.

Biologists are finally beginning to corral molecules, cells and whole organisms to carry out complex computations. These living processors could find use in everything from smart materials to new kinds of artificial intelligence.

By Edd Gent

Interested in thinking about how AI and accelerating technological change is changing our way of life? I talk about stuff like that every day:

http://goatfury.substack.com.

Join me to stand against the ever-shorter attention spans that modern social media encourages. Let’s think together.

Continue reading “GoatFury’s FutureScape” »

Will the emergence of AI personal assistants end ‘search’ and other ways we access the Internet? Bill Gates believes so.

Artificial intelligence (AI) systems have long drawn inspiration from the intricacies of the human brain. Now, a groundbreaking branch of research led by Columbia University in New York seeks to unravel the workings of living brains and enhance their function by leveraging advancements in AI.

Designated by the National Science Foundation as one of seven universities serving as the headquarters for a new national AI research institute, Columbia University received a substantial $20 million grant to bolster the AI Institute for Artificial and Natural Intelligence (ARNI). ARNI is a consortium comprising educational institutions and research groups, with Columbia at the helm. The overarching goal of ARNI is to forge connections between the remarkable progress achieved in AI systems and the ongoing revolution in our understanding of the brain.

Richard Zemel, a professor of computer science at Columbia, explained that the aim is to foster a cross-disciplinary collaboration between leading AI and neuroscience researchers, yielding mutual benefits for AI systems and human beings alike. Zemel emphasized that the exchange of knowledge flows in both directions, with AI systems drawing inspiration from the brain while neural networks in turn bear loose resemblances to its structure.

A leading expert in artificial intelligence warns that the race to develop more sophisticated models is outpacing our ability to regulate the technology. Critics say his warnings overhype the dangers of new AI models like GPT. But MIT professor Max Tegmark says private companies risk leading the world into dangerous territory without guardrails on their work. His Institute of Life issued a letter signed by tech luminaries like Elon Musk warning Silicon Valley to immediately stop work on AI for six months to unite on a safe way forward. Without that, Tegmark says, the consequences could be devastating for humanity.

#ai #chatgpt #siliconvalley.

Continue reading “Max Tegmark interview: Six months to save humanity from AI? | DW Business Special” »

One novel approach — that some experts say could actually work — is to use metadata, watermarks, and other technical systems to distinguish fake from real. Companies like Google, Adobe, and Microsoft are all supporting some form of labeling of AI in their products. Google, for example, said at its recent I/O conference that, in the coming months, it will attach a written disclosure, similar to a copyright notice, underneath AI-generated results on Google Images. OpenAI’s popular image generation technology DALL-E already adds a colorful stripe watermark to the bottom of all images it creates.

“We all have a fundamental right to establish a common objective reality,” said Andy Parsons, senior director of Adobe’s content authenticity initiative group. “And that starts with knowing what something is and, in cases where it makes sense, who made it or where it came from.”

In order to reduce confusion between fake and real images, the content authenticity initiative group developed a tool Adobe is now using called content credentials that tracks when images are edited by AI. The company describes it as a nutrition label: information for digital content that stays with the file wherever it’s published or stored. For example, Photoshop’s latest feature, Generative Fill, uses AI to quickly create new content in an existing image, and content credentials can keep track of those changes.

The material can self-heal in just 24 hours when warmed to 158°F or in about a week at room temperature.

Stanford professor Zhenan Bao and his team have invented a multi-layer self-healing synthetic electronic skin.

This is according to a report by Fox News published on Friday.

Continue reading “Scientists invent self-healing robot skin that mimics the real thing” »