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Get a glimpse of the future and be amazed by the technological advancements that await us in the year 2100. Our video features top 10 predictions that will shape the world of technology in the next century. From fully immersive virtual reality to advanced artificial intelligence and nanotechnology, this video is packed with exciting insights.

We’ll dive into the possibilities of space colonization and teleportation, explore the potential of augmented reality and fusion energy, and look at the rise of robot assistants and mind uploading. Get ready to be amazed by the holographic displays that will take virtual experiences to a whole new level.

This video is perfect for anyone who wants to stay ahead of the curve and be informed about the future of technology. Subscribe now and turn on the notification bell to never miss an update. Optimize your viewing experience by turning on closed captions.

Leave a comment and let us know which prediction you’re most excited about. Join the discussion and share your thoughts on the future of technology. Don’t wait, watch now!

Continue reading “The Future is Here: Top 10 Tech Predictions for 2100” | >

Generative AI represents a big breakthrough towards models that can make sense of the world by dreaming up visual, textual and conceptual representations, and are becoming increasingly generalist. While these AI systems are currently based on scaling up deep learning algorithms with massive amounts of data and compute, biological systems seem to be able to make sense of the world using far less resources. This phenomenon of efficient intelligent self-organization still eludes AI research, creating an exciting new frontier for the next wave of developments in the field. Our panelists will explore the potential of incorporating principles of intelligent self-organization from biology and cybernetics into technical systems as a way to move closer to general intelligence. Join in on this exciting discussion about the future of AI and how we can move beyond traditional approaches like deep learning!

This event is hosted and sponsored by Intel Labs as part of the Cognitive AI series.

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Deepmind’s AdA shows that foundation models also enable generalist systems in reinforcement learning that learn new tasks quickly.

In AI research, the term foundation model is used by some scientists to refer to large pre-trained AI models, usually based on transformer architectures. One example is OpenAI’s large language model GPT-3, which is trained to predict text tokens and can then perform various tasks through prompt engineering in a few-shot setting.

In short, a foundation model is a large AI model that, because of its generalist training with large datasets, can later perform many tasks for which it was not explicitly trained.

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How should we live when we know we must die? This question is posed by the first work of world literature, the Gilgamesh epic. More than 4,000 years ago, Gilgamesh set out on a quest for immortality. Like all Babylonian literature, the saga has survived only in fragments. Nevertheless, scholars have managed to bring two-thirds of the text into readable condition since it was rediscovered in the 19th century.

The Babylonians wrote in cuneiform characters on clay tablets, which have survived in the form of countless fragments. Over centuries, scholars transferred the characters imprinted on the pieces of clay onto paper. Then they would painstakingly compare their transcripts and—in the best case—recognize which fragments belong together and fill in the gaps. The texts were written in the languages Sumerian and Akkadian, which have complicated writing systems. This was a Sisyphean task, one that the experts in the Electronic Babylonian Literature project can scarcely imagine today.

Enrique Jiménez, Professor of Ancient Near Eastern Literatures at LMU’s Institute of Assyriology, and his team have been working on the digitization of all surviving cuneiform tablets since 2018. In that time, the project has processed as many as 22,000 text fragments.

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𝐈𝐝𝐞𝐚𝐥 𝐛𝐥𝐨𝐨𝐝 𝐩𝐫𝐞𝐬𝐬𝐮𝐫𝐞 𝐦𝐚𝐲 𝐫𝐞𝐦𝐨𝐝𝐞𝐥 𝐛𝐫𝐚𝐢𝐧 𝐜𝐥𝐞𝐚𝐫𝐚𝐧𝐜𝐞 𝐩𝐚𝐭𝐡𝐰𝐚𝐲𝐬 𝐥𝐢𝐧𝐤𝐞𝐝 𝐭𝐨 𝐛𝐫𝐚𝐢𝐧 𝐡𝐞𝐚𝐥𝐭𝐡, 𝐝𝐞𝐦𝐞𝐧𝐭𝐢𝐚

𝘾𝙡𝙤𝙨𝙚 𝙧𝙚𝙫𝙞𝙚𝙬 𝙤𝙛 𝙈𝙍𝙄 𝙨𝙘𝙖𝙣𝙨 𝙛𝙤𝙪𝙣𝙙 𝙢𝙤𝙧𝙚 𝙞𝙣𝙩𝙚𝙣𝙨𝙞𝙫𝙚 𝙝𝙞𝙜𝙝 𝙗𝙡𝙤𝙤𝙙 𝙥𝙧𝙚𝙨𝙨𝙪𝙧𝙚 𝙩𝙧𝙚𝙖𝙩𝙢𝙚𝙣𝙩 (𝙩𝙖𝙧𝙜𝙚𝙩𝙚𝙙 𝙩𝙤 𝙖𝙘𝙝𝙞𝙚𝙫𝙚 𝙖 𝙨𝙮𝙨𝙩𝙤𝙡𝙞𝙘 𝙥𝙧𝙚𝙨𝙨𝙪𝙧𝙚 𝙡𝙚𝙨𝙨 𝙩𝙝𝙖𝙣 120 𝙢𝙢 𝙃𝙜) 𝙬𝙖𝙨 𝙢𝙤𝙧𝙚 𝙚𝙛𝙛𝙚𝙘𝙩𝙞𝙫𝙚 𝙩𝙝𝙖𝙣 𝙖 𝙡𝙚𝙨𝙨-𝙞𝙣𝙩𝙚𝙣𝙨𝙚 𝙩𝙧𝙚𝙖𝙩𝙢𝙚𝙣𝙩 𝙜𝙤𝙖𝙡 𝙤𝙛 140 𝙢𝙢 𝙃𝙜 𝙨𝙮𝙨𝙩𝙤𝙡𝙞𝙘 𝙞𝙣 𝙖𝙘𝙝𝙞𝙚𝙫𝙞𝙣𝙜 𝙖 𝙥𝙤𝙨𝙞𝙩𝙞𝙫𝙚 𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙖𝙡 𝙘𝙝𝙖𝙣𝙜𝙚 𝙞𝙣 𝙩𝙝𝙚 𝙗𝙧𝙖𝙞𝙣’𝙨 𝙥𝙚𝙧𝙞𝙫𝙖𝙨𝙘𝙪𝙡𝙖𝙧 𝙨𝙥𝙖𝙘𝙚𝙨: 𝙥𝙖𝙩𝙝𝙬𝙖𝙮𝙨 𝙩𝙝𝙖𝙩 𝙖𝙧𝙚 𝙞𝙢𝙥𝙤𝙧𝙩𝙖𝙣𝙩 𝙩𝙤 𝙘𝙡𝙚𝙖𝙧𝙞𝙣𝙜 𝙩𝙤𝙭𝙞𝙣𝙨 𝙖𝙣𝙙 𝙤𝙩𝙝𝙚𝙧 𝙗𝙮𝙥𝙧𝙤𝙙𝙪𝙘𝙩𝙨.

𝙄𝙛 𝙩𝙝𝙚 𝙗𝙧𝙖𝙞𝙣 𝙘𝙖𝙣𝙣𝙤𝙩 𝙥𝙧𝙤𝙥𝙚𝙧𝙡𝙮 𝙘𝙡𝙚𝙖𝙧 𝙢𝙚𝙩𝙖𝙗𝙤𝙡𝙞𝙘 𝙗𝙮𝙥𝙧𝙤𝙙𝙪𝙘𝙩𝙨, 𝙩𝙝𝙚𝙮 𝙖𝙘𝙘𝙪𝙢𝙪𝙡𝙖𝙩𝙚 𝙖𝙣𝙙 𝙢𝙖𝙮 𝙘𝙤𝙣𝙩𝙧𝙞𝙗𝙪𝙩𝙚 𝙩𝙤 𝙩𝙝𝙚 𝙙𝙚𝙫𝙚𝙡𝙤𝙥𝙢𝙚𝙣𝙩 𝙤𝙛 𝙙𝙚𝙢𝙚𝙣𝙩𝙞𝙖, 𝙧𝙚𝙨𝙚𝙖𝙧𝙘𝙝𝙚𝙧𝙨 𝙨𝙖𝙞𝙙.

Embargoed until 4 a.m. CT/5 a.m. ET, Thursday, Feb. 2, 2023

Continue reading “Ideal blood pressure may remodel brain clearance pathways linked to brain health, dementia” | >