Attaining ‘sentience’ is not easy for an AI robot. Thousands of experts and researchers are working on AI and robots to crack the code and finally attain the one innovation that can change the entire course of the tech industry.
Chris ColeThat gets into that grey area of what is invention, what is refinement of process, promotion of process, etc.
I’ve not seen / aware of anything that jumps out as ‘invention’ with Musk.
Eric KlienAdmin.
So how can LaMDA provide responses that might be perceived by a human user as conscious thought or introspection? Ironically, this is due to the corpus of training data used to train LaMDA and the associativity between potential human questions and possible machine responses. It all boils down to probabilities. The question is how those probabilities evolve such that a rational human interrogator can be confused as to the functionality of the machine?
This brings us to the need for improved “explainability” in AI. Complex artificial neural networks, the basis for a variety of useful AI systems, are capable of computing functions that are beyond the capabilities of a human being. In many cases, the neural network incorporates learning functions that enable adaptation to tasks outside the initial application for which the network was developed. However, the reasons why a neural network provides a specific output in response to a given input are often unclear, even indiscernible, leading to criticism of human dependence upon machines whose intrinsic logic is not properly understood. The size and scope of training data also introduce bias to the complex AI systems, yielding unexpected, erroneous, or confusing outputs to real-world input data. This has come to be referred to as the “black box” problem where a human user, or the AI developer, cannot determine why the AI system behaves as it does.
The case of LaMDA’s perceived consciousness appears no different from the case of Tay’s learned racism. Without sufficient scrutiny and understanding of how AI systems are trained, and without sufficient knowledge of why AI systems generate their outputs from the provided input data, it is possible for even an expert user to be uncertain as to why a machine responds as it does. Unless the need for an explanation of AI behavior is embedded throughout the design, development, testing, and deployment of the systems we will depend upon tomorrow, we will continue to be deceived by our inventions, like the blind interrogator in Turing’s game of deception.
An emerging way to treat diabetes is to repair or replace the cells in the body that naturally produce insulin. Swedish researchers have now identified a molecule that helps stimulate the growth of new insulin-producing cells, and uncovered how it works, opening up new potential diabetes treatments.
Diabetes is characterized by issues with insulin, the hormone that regulates blood glucose levels and allows the body’s cells to access it for energy. In type 1 diabetes, beta cells in the pancreas that normally produce insulin can’t make enough to meet demand, often because those cells have been destroyed by the immune system.
Treatment currently relies on administering insulin shots, but an emerging branch of study centers on finding ways to replenish the insulin production of those beta cells. Previous breakthroughs have included creating artificial beta cells that can pick up the slack, or using stem cells to grow new ones.
A new mechanism that causes cardiac hypertrophy – one of the major drivers of heart disease – has been identified, potentially enabling new treatments to be developed.
Cancer, in the simplest terms, is the transformation of normal cells into malignant ones that grow and divide uncontrollably. It, however, is not one disease but a group of more than 100 different and distinctive diseases, and leukemia, or blood cancer, is just one of them. Leukemia begins in…
According the company, this innovative system enables the detection of live objects behind walls at a distance of more than 50 meters.
Camero-Tech, a member of the SK Group and an Israeli developer, producer, and marketer of pulse-based UWB micro-power radar ‘Through Wall Imaging’ systems, announced the launching of its groundbreaking XaverTM LR40 (XLR40) system, which detects live objects behind walls at distances of over 50 meters.
Astronomers have cast a wide net to collect treasures from deep space.
NASA used the telescope in an innovative way to capture a group of massive galaxies in the COSMOS field.
