A Wharton Professor published a report that detailed how Chat GPT3, an artificial intelligence, performed on a final exam in his MBA class.
Category: robotics/AI – Page 1046
AI-creation will hear arguments and formulate responses in real-time for defendant in traffic ticket case.
Summary: A new brain mapping study reveals a neural network in cuttlefish that involves chemosensory function and body pattern control which the cuttlefish utilize for foraging and camouflage.
Source: University of Queensland
New mapping of the cuttlefish brain could explain how, and why, the marine animal employs its distinct camouflage ability according to researchers from The University of Queensland (UQ).
Maintaining eye contact is crucial to establishing engagement and trust in a conversation. This can be challenging in a video conference because it requires participants to look at the camera instead of the screen. The NVIDIA Maxine Eye Contact feature creates an in-person experience for virtual meetings. Powered by AI, Maxine Eye Contact directs your eyes to a centered position to maintain eye contact with your audience. Eye Contact is available to developers through the Maxine Augmented Reality SDK at https://developer.nvidia.com/maxine#ar-sdk.
Learn more about Maxine at https://developer.nvidia.com/maxine and all of NVIDIA’s AI solutions at https://www.nvidia.com/en-us/deep-learning-ai/products/solutions/
#AI #NVIDIA #Maxine
In this video ill show you how you can use some promptengineering to get some amazing mid-journey prompts from chat gpt that can produce stunning images and art.
#chatgpt #gptchat #openai #midjourney #artificialintelligence #ai #machinelearning #deeplearning #chatbot #coding #python
Also some stories from my childhood. Art as a live service. I’m wrong a lot so maybe I’m wrong about this stuff.
Music: “Un coin tranquille — Instrumental Version” by Nono feat. Anat Moshkovski.
I got it on Artlist (like most of the music on the channel) which is a royalty free library that I understand pays their artists pretty well.
Part 1: the future of medicine: nanobots part 2: a new era in mental health: nanobots part 3: the healing power of nanobots part 4: the genetic and data-connected revolution: nanobots part 5: the end of plastic surgery: nanobots part 6: the fertility revolution: nanobots part 7: the job-specific human: nanobots part 8: the end of education as we know it: nanobots part 9: the rise of programmable matter: nanobots part 10: the next generation of humans: nanobots.
Nanotechnology is a rapidly evolving field with the potential to revolutionize medicine in the future. One of the most promising applications of nanotechnology is the use of nanobots in medicine. Nanobots are microscopic robots that can be programmed to perform specialized activities such as disease diagnosis and treatment. They can be used to diagnose and treat a wide range of conditions, including mental illnesses such as depression and anxiety, as well as physical injuries and illnesses.
One of the most interesting potential applications of nanobots in medicine is the treatment of mental illnesses. Mental illnesses are among the most common and devastating diseases of our time. They can be programmed to constantly map the brain and correct faults as they develop. Alzheimer’s disease may theoretically be treated if a person was implanted with nanobots at birth.
With recent developments in language modeling (LM) research, machine-generated text applications have spread to a number of previously untapped domains. However, a significant issue remains that LM-generated text frequently contains factual errors or inconsistencies. This problem usually arises in any LM generation scenario, but it is particularly problematic when generation is performed in uncommon domains or when it requires up-to-date information that the LM was not trained on.
Retrieval-Augmented Language Modeling (RALM) methods, which display the LM pertinent documents from a grounded corpus during generation, offer a possible solution to this problem. Current RALM strategies concentrate on changing the LM architecture to include external data. However, this approach often makes deployment significantly complex. Working on this problem statement, AI21 Labs, an organization that develops artificial intelligence systems, introduced an alternative strategy called In-Context Retrieval-Augmented Language Modeling (In-Context RALM), which can supplement an existing language model with ready-made external information sources. The necessary files are added as input into the language model, which keeps the underlying LM architecture unaffected. The team published their findings in a research paper titled “In-Context Retrieval-Augmented Language Models.”
In the same publication, AI21 Labs also unveiled Wordtune Spices, an addition to their Wordtune text editor. Wordtune Spices is an artificial intelligence robot that helps authors swiftly generate text and create content, thereby accelerating the pace of the composition of academic papers, theses, and creative documents. Spices’ main principle is based on the In-context RALM technique. Users of Spices have access to 12 prompt alternatives, including explications, definitions, and even jokes. Users can select the prompt that best supports their use case and receive a string of supplemental sentences to bolster their case and provide further details.
Could the rise of advanced AI tools mean the end of some creative and knowledge jobs? Here’s what the experts had to say.
Anders Sandberg is “not technically a philosopher,” he tells IEEE Spectrum, although it is his job to think deeply about technological utopias and dystopias, the future of AI, and the possible consequences of human enhancement via genetic tweaks or implanted devices. In fact, he has a PhD in computational neuroscience. So who better to consult regarding the ethics of neurotech and brain enhancement?
Sandberg works as a senior research fellow at Oxford’s Future of Humanity Institute (which is helmed by Nick Bostrom, a leading AI scholar and author of the book Superintelligence that explores the AI threat). In a wide-ranging phone interview with Spectrum, Sandberg discussed today’s state-of-the-art neurotech, whether it will ever see widespread adoption, and how it could reshape society.