Google Research spinout Osmo wants to find substitutes for hard-to-source aromas. The tech could inspire new perfumes—and help combat mosquito-borne diseases.
Category: robotics/AI – Page 1044
ChatGPT, the powerful new AI chatbot tool that interacts with users in an eerily convincing and conversational way, is being met with mixed reactions. CNN’s Vanessa Yurkevich looks at the risks and benefits of OpenAI’s ambitious project. #CNN #News
Use CHAT GPT to Create INSANE Wealth.
In this video, Dr. Jordan Peterson talks about the recent release of GPT (Generative Pre-trained Transformer) which is a General Language Processing model that was released about a week ago. He explains that this AI system is trained on a massive corpus of spoken and written text, which allows it to analyze a large corpus of text and derive models of the world from the analysis of human speech. He mentions that this technology is still in its early stages but it is expected to advance rapidly in the next year. Dr. Peterson also shares some examples of how GPT has been used, including writing essays, bullet points, and computer code, as well as grading papers and creating character descriptions and images. He concludes that GPT is already smarter than most people and that it is going to be a lot smarter in the next few years, and advises the audience to be prepared for this technological revolution.
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My thoughts exactly
Posted in innovation, robotics/AI
To be clear: I’m not criticizing OpenAI’s work nor their claims.
I’m trying to correct a *perception* by the public & the media who see chatGPT as this incredibly new, innovative, & unique technological breakthrough that is far ahead of everyone else.
It’s just not.
The brain is often regarded as a soft-matter chemical computer, but the way it processes information is very different to that of conventional silicon circuits. Three groups now describe chemical systems capable of storing information in a manner that resembles the way that neurons communicate with one another at synaptic junctions. Such ‘neuromorphic’ devices could provide very-low-power computation and act as interfaces between conventional electronics and ‘wet’ chemical systems, potentially including neurons and other living cells themselves.
At a synapse, the electrical pulse or action potential that travels along a neuron triggers the release of neurotransmitter molecules that bridge the junction to the next neuron, altering the state of the second neuron by making it more or less likely to fire its own action potential. If one neuron repeatedly influences another, the connection between them may become strengthened. This is how information is thought to become imprinted as a memory, a process called Hebbian learning. The ability of synapses to adjust their connectivity in response to input signals is called plasticity, and in neural networks it typically happens on two timescales. Short-term plasticity (STP) creates connectivity patterns that fade quite fast and are used to filter and process sensory signals, while long-term plasticity (LTP, also called long-term potentiation) imprints more long-lived memories. Both biological processes are still imperfectly understood.
Neuromorphic circuits that display such learning behaviour have been developed previously using solid-state electronic devices called memristors, two-terminal devices in which the relationship between the current that passes through and the voltage applied depends on the charge that passed through previously. Memristors may retain this memory even when no power is applied – they are ‘non-volatile’ – meaning that neuromorphic circuits can potentially process information with very low power consumption, a feature crucial to the way our brains can function without overheating. Typically, memristor behaviour manifests as a current–voltage relationship on a loop, and the response varies depending on whether the voltage is increasing or decreasing: a property called hysteresis, which itself represents a kind of memory as the device behaviour is contingent on its history.
Gautam Adani, the world’s third richest person, is apparently hooked on OpenAI’s ChatGPT. He said so himself, in a post-Davos blog post on LinkedIn.
ChatGPT “was the buzzword at this year’s event,” Adani wrote in the post, caveating that he “must admit to some addiction since I started using it.”
The academic community is growing increasingly concerned about students using ChatGPT for less than honest purposes as it has been found to be capable of not only writing essays for high school students, but passing some exams, such as parts of those used to license doctors and grant MBAs.
In two new papers posted on preprint servers, one team and another researcher independently tested the ability of ChatGPT to take and pass exams. In the first a team with members from AnsibleHealth, Inc., Brown University and OpenAI, Inc. describe testing they did to see how well ChatGPT could do on the United States Medical Licensing Examination (USMLE) and posted their results on the medRXiv preprint server.
In the second, Christian Terwiesch, the Andrew M. Heller Professor at Wharton School of the University of Pennsylvania, has posted a paper on Wharton’s preprint site, describing how he tested the chatbot’s ability to perform on the final exam of a typical Operations Management MBA core course and what he found.
A new AI program is being used to recreate classic movies, and you can now see Viggo Mortensen as Neo in The Matrix.
With this new investment, OpenAI will look further to independently “develop and research AI that is increasingly safe, useful, and powerful,” the press release added. OpenAI’s recently unveiled product, ChatGPT, has already made global news for its conversational style of answering people’s queries, which is being looked at as a threat to Google’s business model.
It is powerful enough to maneuver over obstacles.
The University of Illinois researchers’ newly developed insect-sized jumping robots will do tasks in small and tight places. The creation of jumping robots is also a significant advance in mechanical, agricultural, and search-and-rescue environments, according to the university.
Led by Prof. Sameh Tawfick, a new study demonstrates a succession of click-beetle-sized robots that are quick enough to match an insect’s speedy escape time, powerful enough to maneuver over obstacles, and small enough to slip into confined spaces.