Achieving General Artificial Intelligence (AGI) has long been a grand challenge in the field of AI, and brain-inspired computing is widely acknowledged as one of the most promising approaches to realize this goal. This paper introduces a novel brain-inspired AI framework, Orangutan. It simulates the structure and computational mechanisms of biological brains on multiple scales, encompassing multi-compartment neuron architectures, diverse synaptic connection modalities, neural microcircuits, cortical columns, and brain regions, as well as biochemical processes including facilitation, feedforward inhibition, short-term potentiation, and short-term depression, all grounded in solid neuroscience. Building upon these highly integrated brain-like mechanisms, I have developed a sensorimotor model that simulates human saccadic eye movements during object observation. The model's algorithmic efficacy was validated through testing with the observation of handwritten digit images.

A three year hunt for patterns hidden in the roars, sighs, and other noises made by Indonesia's orangutans has discovered'a full spectrum' of complex vocalizations. The breakthrough comes hot on the heels of other recent discoveries further revealing the depth of the great ape's intelligence -- including one orangutan's practice of healing its own injuries with a self-prepared medicinal herb. The research team reinforced their analysis by testing artificial intelligence (AI) detection methods against the painstaking work of biologists and bioacoustics scientists, employing only their trained ears, intellects and measurement tools. The Cornell University-led team pooled together a dataset of 117 recorded'long calls' made by 13 males of one particular species, the Bornean orangutan, employing 46 acoustic measurements on 1,033 distinct pulses detected within those calls. 'These features would seem to greatly boost the potential complexity of this signal,' they wrote, suggesting humanity might soon know what the great apes are saying.

In-context learning (ICL) is now a common method for teaching large language models (LLMs) new tasks: given labeled examples in the input context, the LLM learns to perform the task without weight updates. Do models guided via ICL infer the underlying structure of the task defined by the context, or do they rely on superficial heuristics that only generalize to identically distributed examples? We address this question using transformations tasks and an NLI task that assess sensitivity to syntax - a requirement for robust language understanding. We further investigate whether out-of-distribution generalization can be improved via chain-of-thought prompting, where the model is provided with a sequence of intermediate computation steps that illustrate how the task ought to be performed. In experiments with models from the GPT, PaLM, and Llama 2 families, we find large variance across LMs. The variance is explained more by the composition of the pre-training corpus and supervision methods than by model size; in particular, models pre-trained on code generalize better, and benefit more from chain-of-thought prompting.

All the sessions from Transform 2021 are available on-demand now. In January, OpenAI released Contrastive Language-Image Pre-training (CLIP), an AI model trained to recognize a range of visual concepts in images and associate them with their names. CLIP performs quite well on classification tasks -- for instance, it can caption an image of a dog "a photo of a dog." But according to an OpenAI audit conducted with Jack Clark, OpenAI's former policy director, CLIP is susceptible to biases that could have implications for people who use -- and interact -- with the model. Prejudices often make their way into the data used to train AI systems, amplifying stereotypes and leading to harmful consequences.

A ground-breaking study has revealed that members of the great apes, such as bonobos, chimps and orangutans, have a theory of mind. This, researchers say, proves they can understand others' mental states -- an ability previously though exclusively reserved to humans. The idea other animals possess this trait has been debated for decades and researchers at Kyoto University think they have proved its existence. A ground-breaking study has revealed that members of the great apes, such as bonobos, chimps and orangutans, have a theory of mind. This, researchers say, proves they can understand others' mental states Theory of mind is a higher cognitive function which allows individuals to understand others' mental states.

Artificial general intelligence, or "AGI," the idea of a machine that can approach human levels of cognition, is a great topic to get people all worked up. Because no one can really define it, it serves as a Rorschach Test, onto which one can imprint whatever thoughts and feelings they care to. What is artificial general intelligence? Everything you need to know about the path to creating an AI as smart as a human. The result was a spirited discussion this past Friday night at John Jay College in Manhattan, site of the World Science Festival, now in its twelfth year.

In 2001, a group of Physicists were awarded the Nobel prize in Physics for creating an experiment that produced the Bose Einstein Condensate(BEC). The BEC is a state of Matter in an extremely cold state, close to absolute zero(that is, very near 0 K or 273.15 C), first theorized by Satyendra Nath Bose and Albert Einstein in 1925. In the 2001 Noble Prize winning experiment, the physicists created the first BEC in a lab by shooting multiple lasers at Gas particles from different directions. After meticulous calculations and planning, they carefully calibrated a series of lasers to achieve this.

There's just one male northern white rhino left in the world, and he's now on the Tinder dating app as wildlife experts try to keep his species alive. The rhino, named Sudan, will appear as an ad on Tinder as you're swiping through potential suitors – and despite the burden of having to save his species from extinction, he has'no problems performing under pressure.' It's hoped that the'Most Eligible Bachelor in the World' campaign launched by Ol Pejeta Conservancy and Tinder will help raise $9 million towards breeding methods before it's too late. The rhino, named Sudan, will appear as an ad on Tinder as you're swiping through potential suitors – and despite the burden of having to save his species from extinction, he has'no problems performing under pressure' While swiping through Tinder, Sudan will eventually appear. If you swipe right on his profile, it will be a'match.'

The Orangutan looked quite magnificent. From her inquisitive eyes to her distinctive orange fur, she was just the sort of creature nature lovers adore watching on TV. But a closer inspection revealed something a little different about her. That's because she is actually an undercover robot, fitted with high-definition cameras behind her glass eyes and used to infiltrate the animal kingdom. The orangutan, as well as an adorable wolf-cub, an utterly convincing meerkat and an incredible floating otter are among 34 animatronic beasts created for the BBC's new series, Spy In The Wild.

An orangutan has been captured performing DIY better than some humans. The incredible new footage reveals a female great ape using a saw to skilfully divide a branch in two. The talented ape uses her right hand to hold the tool and her feet to grip the tree branch like a vice. She even blows away the sawdust to inspect her work like a true craftsman. An orangutan has been captured performing DIY better than some humans.