orangutan
'We'll find way to save Jodrell Bank,' Burnham says
'We'll find way to save Jodrell Bank,' Burnham says Prime Minister Andy Burnham has vowed to save the UK's largest telescope at the Jodrell Bank Observatory. The Lovell telescope, which has stood in Cheshire since 1957, is the world's third-largest steerable radio telescope. But in July this year, UK Research and Innovation (UKRI) said the site would not be prioritised for further funding after its current agreement ended in March 2028. Burnham said: Every one of my generation went on a school trip to Jodrell Bank, and there is no way that we can see its demise, and it won't happen under my government. UKRI said its decision for the site was the result of a comprehensive, evidence-based prioritisation process.
Germany says Russia behind Leipzig airport drone attack
Germany has said Russia was responsible for last month's drone attack at Leipzig's airport. A drone carrying an explosive device was discovered at Leipzig/Halle Airport in eastern Germany, close to Ukrainian cargo planes, on 4 August. It failed to explode as the detonator was apparently faulty, and investigators suspect a second drone collided with a cargo aircraft nearby. A third drone was reportedly found near the airport 10 days later. Interior Minister Alexander Dobrindt said the Leipzig airport attack followed the well-established pattern of Russian hybrid operations in Europe and the assumption was that Germany would be targeted again.
7 peculiar pets in history: From a beer-drinking elk to the Pope's elephant
Move aside cats and dogs. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. This pygmy hippo at the 1939 World's Fair Firestone exhibit was probably Gumdrop I, a pygmy hippo whose father was Billy. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .
Orangutan: A Multiscale Brain Emulation-Based Artificial Intelligence Framework for Dynamic Environments
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.
Scientists on the cusp of decoding orangutans' secret language - after finding 1,033 distinct sounds apes make to communicate
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 Generalizes, But Not Always Robustly: The Case of Syntax
Mueller, Aaron, Webson, Albert, Petty, Jackson, Linzen, Tal
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.
Audit finds gender and age bias in OpenAI's CLIP model
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.
Chimps think just like humans, scientists discover
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 is a Rorschach Test: Perhaps we need orangutans? ZDNet
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.
Learning at Scale & The End of "If -Then" Logic. – archieai – Medium
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.