16,000 financial advisors of the bank must be nervous.
Multinational investment management and financial services company Morgan Stanley is deploying a sophisticated chatbot to support the bank’s army of financial advisors powered by the most recent OpenAI technology, according to CNBC
The tool’s goal is to help the bank’s advisors access its data.
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According to Jeff McMillan, head of analytics, data, and innovation at the company’s wealth management division, the bank has tested the artificial intelligence tool with 300 advisers. It intends to make it broadly available in the upcoming months.
Inspired by nature, these soft robots received their amphibious upgrade with the help of bistable actuators.
Researchers at Carnegie Mellon University have created a soft robot that can effortlessly transition from walking to swimming or from crawling to rolling.
“We were inspired by nature to develop a robot that can perform different tasks and adapt to its environment without adding actuators or complexity,” said Dinesh K. Patel, a postdoctoral fellow in the Morphing Matter Lab in the School of Computer Science’s Human-Computer Interaction Institute. “Our bistable actuator is simple, stable and durable, and lays the foundation for future work on dynamic, reconfigurable soft robotics.”
Long-term microgravity exposure causes various biological changes, ranging from bone loss to changes in cardiovascular function.
Towards this, SpaceX’s Dragon cargo ship is set to deliver cardiac tissue chips to the International Space Station (ISS). According to NASA, the cargo spacecraft is expected to autonomously dock with the ISS at 7:52 am EDT Thursday, March 16.
Scientists have long known that mitochondria play a crucial role in the metabolism and energy production of cancer cells. However, until now, little was known about the relationship between the structural organization of mitochondrial networks and their functional bioenergetic activity at the level of whole tumors.
In a new study, published in Nature, researchers from the UCLA Jonsson Comprehensive Cancer Center used positron emission tomography (PET) in combination with electron microscopy to generate 3-dimensional ultra-resolution maps of mitochondrial networks in lung tumors of genetically engineered mice.
They categorized the tumors based on mitochondrial activity and other factors using an artificial intelligence technique called deep learning, quantifying the mitochondrial architecture across hundreds of cells and thousands of mitochondria throughout the tumor.
By Ankita Chakravarti: ChatGPT, which is the fastest growing app in the world, has competition now. After Microsoft’ Bing and Google’s Bard AI, Anthropic, which was founded by former OpenAI employees, has launched a new AI chatbot to rival ChatGPT. The company claims that Claude is “easier to converse with” “more steerable.” and “much less likely to produce harmful outputs,”
Claude performs pretty well and has the same functions as the ChatGPT. “Claude can help with use cases including summarization, search, creative and collaborative writing, Q&A, coding, and more. Early customers report that Claude is much less likely to produce harmful outputs, easier to converse with, and more steerable — so you can get your desired output with less effort. Claude can also take direction on personality, tone, and behavior,” the company said in a blog post.
Anthrophic is offering Claude in two different variants including the Claude and Claude Instant. The company explains that Claude is a “state-of-the-art high-performance model”, while Claude Instant is a “lighter, less expensive, and much faster option.” “We plan to introduce even more updates in the coming weeks. As we develop these systems, we’ll continually work to make them more helpful, honest, and harmless as we learn more from our safety research and our deployments,” the blog read.
He was ranked the number 1 most influential neuroscientist in the world by Semantic Scholar in 2016, and has received numerous awards and accolades for his work. His appointment as chief scientist of Verses not only validates their platform’s framework for advancing AI implementations but also highlights the company’s commitment to expanding the frontier of AI research and development.
Friston is short listed for a Nobel Prize, is one of the most cited scientists in human history with over 260,000 academic citations, and invented all of the mathematics behind the fMRI scan. As one pundit put it, “what Einstein was to physics, Friston is to Intelligence.”
Indeed Friston’s expertise will be invaluable in helping the company execute its vision of deploying a plethora of technologies working toward a smarter world through AI.
With the development of computing and data, autonomous agents are gaining power. The need for humans to have some say over the policies learned by agents and to check that they align with their goals becomes all the more apparent in light of this.
Currently, users either 1) create reward functions for desired actions or 2) provide extensive labeled data. Both strategies present difficulties and are unlikely to be implemented in practice. Agents are vulnerable to reward hacking, making it challenging to design reward functions that strike a balance between competing goals. Yet, a reward function can be learned from annotated examples. However, enormous amounts of labeled data are needed to capture the subtleties of individual users’ tastes and objectives, which has proven expensive. Furthermore, reward functions must be redesigned, or the dataset should be re-collected for a new user population with different goals.
New research by Stanford University and DeepMind aims to design a system that makes it simpler for users to share their preferences, with an interface that is more natural than writing a reward function and a cost-effective approach to define those preferences using only a few instances. Their work uses large language models (LLMs) that have been trained on massive amounts of text data from the internet and have proven adept at learning in context with no or very few training examples. According to the researchers, LLMs are excellent contextual learners because they have been trained on a large enough dataset to incorporate important commonsense priors about human behavior.
These days, we don’t have to wait long until the next breakthrough in artificial intelligence impresses everyone with capabilities that previously belonged only in science fiction.
In 2022, AI art generation tools such as Open AI’s DALL-E 2, Google’s Imagen, and Stable Diffusion took the internet by storm, with users generating high-quality images from text descriptions.
Unlike previous developments, these text-to-image tools quickly found their way from research labs to mainstream culture, leading to viral phenomena such as the “Magic Avatar” feature in the Lensa AI app, which creates stylized images of its users.
It will be released with a new tool called MakerSuite, which lets you prototype ideas, do prompt engineering, synthetic data generation and custom-model tuning. Waitlist available soon.
