Lifeboat Foundation

In recent years, engineers and scientists worldwide have been working on new technologies for generating electricity from renewable energy sources, including photovoltaics (PVs), wind turbines and hydro-power generators. An alternative solution for mitigating the impact of climate change could be to convert the excess or waste heat generated by industries, households and hot natural environments into electricity.

This approach, known as thermoelectric power generation, relies on the use of materials with valuable thermoelectric properties. Specifically, when these materials are exposed to particularly high temperatures on one side and colder ones on the other, electrons within them start to flow from the hot side to the cooler one, which generates electrical potential

While recent works have identified some promising thermoelectric materials, the module performance is unsatisfactory due to the challenges associated with designing and fabricating optimum module structures. This significantly limits their potential real-world integration in thermoelectric modules.

697: The (Short) Path to Artificial General Intelligence — with Dr. Ben Goertzel.

696: Brain-Computer Interfaces and Neural Decoding — with Prof. Bob Knight.

As advances in AI and Machine Learning accelerate, the once-fictional idea of machines gaining Consciousness is becoming a pressing reality. This video explores the potential risks and questions how prepared Hue-BEings are for this new form of Consciousness. From self-driving cars to Intelligent machinery, we delve into the Evolution and implications of AI emulating Hue-BEing interactions. What type of Future will we all Build, Together?

Telomerase gene therapy shows promising potential for treating pulmonary fibrosis and other diseases associated with short telomeres.

Continue reading “Telomerase gene therapy shows promising potential for treating pulmonary fibrosis” »

Hollow worlds isaac arthur.

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Earth is immense, but we only live on a thin shell of its surface. So what if we built a planet with only that thin shell, or with several layers of them?

Continue reading “Megastructures: Hollow Earth” »

A major new player has entered the race toward endless energy.

A research team has demonstrated that analog hardware using ECRAM devices can maximize the computational performance of artificial intelligence, showcasing its potential for commercialization. Their research has been published in Science Advances.

The rapid advancement of AI technology, including applications like generative AI, has pushed the scalability of existing digital hardware (CPUs, GPUs, ASICs, etc.) to its limits. Consequently, there is active research into analog hardware specialized for AI computation.

Analog hardware adjusts the resistance of semiconductors based on external voltage or current and utilizes a cross-point array structure with vertically crossed memory devices to process AI computation in parallel. Although it offers advantages over digital hardware for specific computational tasks and continuous data processing, meeting the diverse requirements for computational learning and inference remains challenging.

Google’s Gemini 1.5 Pro revolutionizes AI with top LMSYS scores, outperforming GPT-4 and Claude-3.5, promising transformative impact across industries while raising ethical questions.

Follow FLORIDA TODAY Space Team live updates of today’s upcoming SpaceX Falcon 9 launch of NG-21 from SLC-40.