Lifeboat Foundation

In recent years, there have been many reviews investigating neuromorphic computing from the perspectives of device electrical properties,^{[ 9, 10 ]} resistive switching materials,^{[ 11, 12 ]} memristive synapses and neurons,^{[ 13 ]} algorithm optimization,^{[ 14 ]} and circuit design.^{[ 15 ]} Different from the existing literature, we discuss the possibility of achieving brain-like computing from the perspective of memristor technology and review the establishment of spiking neural network neuromorphic computing systems. In this article, we first review the resistive switching mechanisms of different types of memristors and focus on factors, which affect device stability and the corresponding optimization measures that have been applied. Furthermore, we study the stochasticity, power consumption, switching speed, retention, endurance, and other properties of memristors, which are the basis for neuromorphic computing implementations. We then review various memristor-based neural networks and the building of spike neural network neuromorphic computing systems. Finally, we shed light upon the major challenges and offer our perspectives and opinions for memristor-based brain-like computing systems.

The results were a significant improvement over the values produced by previous methods.

Unitree’s humanoid robot just got a mass production upgrade. The G1 will now feature stronger performance, the “ultimate appearance,” and is now more in line with mass production requirements according to Unitree.

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Continue reading “Unitree’s $16,000 Humanoid Robot Is Ready for Mass Production” »

Serious Question, does anyone in here know people who made said AI or run named company? would be interested in system described.

Artificial intelligence is being tested at the Integrated Control Center in Ludwigshafen to save precious time during emergency calls. For example, a computer voice translates for callers who speak a foreign language.

According to an SWR report, the Integrated Control Center in Ludwigshafen is using artificial intelligence (AI) to speed up emergency call handling. Until now, it took valuable minutes when callers only spoke a foreign language. Dispatchers had to quickly find a colleague who could translate, which cost time and caused stress, says Manuel Fischer, head of the integrated rescue service department.

Continue reading “German emergency dispatchers get AI assistant to translate calls and suggest questions” »

In another case of technology being inspired by nature, roboticists at The Faboratory at Yale University have developed a way for soft robots to replicate animals and insects by self-amputating a limb or building bridges by temporarily fusing their bodies.

In one of the demo videos, a soft quadruped robot crawls when a falling rock traps its back leg. The reversible joint attaching the leg is heated with current, allowing the robot to break free of its leg and escape, after which the joint could be reattached.

Another video released by the team shows a single crawler robot that’s originally unable to cross the gap between tables. Three robots are then fused together using joints that have been heated and softened by electric current, which allows them to cross the chasm as one unit.

Researchers used adult human cells to craft biological robots capable of movement and more.

More details of OpenAI’s secretive Project Strawberry have dropped, including its expected release date and the areas it will specialize in.

A recent report in The Information quotes “two people who have been involved in the effort”, and goes on to say that Project Strawberry could drop this Fall, and be better at math and programming than any chatbot we’ve seen so far.

It provides new options for patients with poor access to this essential testing.

Alvaro Morales is the co-founder and CEO of Orb, a flexible usage-based billing engine for modern software pricing models.

Many SaaS companies want to leverage AI in their products. However, since AI is so new, pricing remains volatile. Costs can drop drastically for an AI model when the next iteration is out, and many companies lower their pricing in response to a competitor launch to gain or retain market share.

In addition to the fluctuating and unpredictable model prices, AI pricing is mostly based on usage. Customer usage is usually difficult to predict, which affects the costs your product will incur if it relies on AI models.