Lifeboat Foundation

We discuss the commercial readiness of spiking neural networks and the potential for spiking LLMs with Intel’s Mike Davies.

A GlobalData analyst suggests there are “limitless possibilities” when AI is modelled after the human brain via neuromorphic computing.

In the race to develop powerful quantum computers, one of the biggest roadblocks has been their extreme sensitivity to errors introduced by environmental noise. Even the smallest disturbance can corrupt the delicate quantum states that form the basis of quantum computation.

Now the AWS Center for Quantum Computing team says they may have discovered a promising solution to this hurdle. The researchers report in a blog post that they have designed and demonstrated a new type of quantum bit, or qubit, that converts the majority of errors into a special class known as “erasure errors” – and these errors can be detected and fixed much more efficiently than standard quantum errors.

The team writes: “Quantum error correction is a powerful tool for combating the effects of noise. As with error correction in classical systems, quantum error correction can exponentially suppress the rate of errors by encoding information redundantly. Redundancy protects against noise, but it comes at a price: an increase in the number of physical quantum bits (qubits) used for computation, and an increase in the complexity and duration of computations.”

Summary: Recent research reveals that individuals with Borderline Personality Disorder (BPD) exhibit distinct music preferences, favoring reflective and complex genres such as classical and jazz over intense, rebellious ones.

The study, involving 549 participants, highlights how the severity of BPD symptoms influences these preferences and the psychological functions of music, emphasizing its role in emotional regulation and social connectivity.

Music’s functions act as mediators in forming these preferences, suggesting that musical tastes among individuals with BPD reflect their internal psychological needs. This insight opens new avenues for tailored music therapy interventions, promising more effective therapeutic outcomes.

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Humans have always been storytellers. Weaving tales, exchanging knowledge, and planning for the future are quintessentially human endeavors that have shaped the course of our species. But when did this remarkable ability to communicate through language first emerge? Recent research suggests a far earlier origin than previously thought, shedding light on the fascinating journey of human evolution.

Dr. Steven Mithen, an esteemed archaeologist from the University of Reading, has delved deep into the annals of prehistory to uncover the roots of human speech. Contrary to conventional wisdom, which pegged the advent of language to around 200,000 years ago, Mithen’s groundbreaking analysis suggests a much more ancient beginning—approximately 1.6 million years ago, in the cradle of humanity, somewhere nestled in the vast expanse of eastern or southern Africa.

In his quest to unveil the origins of language, Mithen meticulously examined a plethora of evidence spanning archaeology, genetics, neurology, and linguistics. The culmination of his research paints a vivid picture of our ancestors’ journey towards spoken communication.

Vinge won multiple Hugo awards and created a sci-fi concept that drives AI researchers.

Matter energy and information.

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Something like this could help me take care of my mom! She’s 80!