Lifeboat Foundation

Synthetic biology has made major strides towards the holy grail of fully programmable bio-micromachines capable of sensing and responding to defined stimuli regardless of their environmental context. A common type of bio-micromachines is created by genetically modifying living cells.^{[ 1 ]} Living cells possess the unique advantage of being highly adaptable and versatile.^{[ 2 ]} To date, living cells have been successfully repurposed for a wide variety of applications, including living therapeutics,^{[ 3 ]} bioremediation,^{[ 4 ]} and drug and gene delivery.^{[ 5, 6 ]} However, the resulting synthetic living cells are challenging to control due to their continuous adaption and evolving cellular context. Application of these autonomously replicating organisms often requires tailored biocontainment strategies,^{[ 7-9 ]} which can raise logistical hurdles and safety concerns.

In contrast, nonliving synthetic cells, notably artificial cells,^{[ 10, 11 ]} can be created using synthetic materials, such as polymers or phospholipids. Meticulous engineering of materials enables defined partitioning of bioactive agents, and the resulting biomimetic systems possess advantages including predictable functions, tolerance to certain environmental stressors, and ease of engineering.^{[ 12, 13 ]} Nonliving cell-mimetic systems have been employed to deliver anticancer drugs,^{[ 14 ]} promote antitumor immune responses,^{[ 15 ]} communicate with other cells,^{[ 16, 17 ]} mimic immune cells,^{[ 18, 19 ]} and perform photosynthesis.

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Continue reading “Quantifying Biological Age: Blood Test #1 in 2023” »

A British startup has performed a first-of-its-kind microgravity experiment using a drone.

The company, called Gravitilab, flew its adapted quadcopter to an altitude of 2,000 feet (600 meters), where it dropped a specially designed capsule carrying scientific experiments.

General Motors may move its new Ultium battery-electric architecture from pouch to cylindrical cell batteries.

Basically I underestimated chat gpt it is Basically much more powerful than I realized not just a Jetson society but it could even bring realities like we have seen in star trek the next generation where one can ask an AI anything and it can do anything given a task. This could also bring upon a superintelligence once programmed much like a wolfram alpha is for homework but for everything. It can nearly do any job and can replace all tech jobs eventually to get to universal basic income or even bring an end to the wild west of the internet it could create a near perfect cyber defense because it could simply know everything and make everything bug free. In short it can a near God like AI to answer and do any digital task. This can make nearly all jobs eventually automated:3.

It’ll be a while before ChatGPT takes your job entirely, and in the meantime you can use it to make work life easier.

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.

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

The Hell Pig or Entelodont was definitely one of the ugliest creatures ever to have lived, at least by human standards.

Nevertheless, this petrifying pig was an evolutionary success surviving for nearly 20 million years in eat-or-be-eaten prehistoric North America.

Illustrating images.

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.

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.

Continue reading “Deepmind Ada brings foundation models to reinforcement learning” »