A new study finds artificial intelligence could help predict pancreatic cancer. Dr. Chris Sander, one of the co-authors of the study, joined CBS News to talk about the findings.
#news #ai #cancer.
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A team led by Northwestern University researchers has developed the first artificial intelligence (AI) to date that can intelligently design robots from scratch.
To test the new AI, the researchers gave the system a simple prompt: Design a robot that can walk across a flat surface. While it took nature billions of years to evolve the first walking species, the new algorithm compressed evolution to lightning speed—designing a successfully walking robot in mere seconds.
But the AI program is not just fast. It also runs on a lightweight personal computer and designs wholly novel structures from scratch. This stands in sharp contrast to other AI systems, which often require energy-hungry supercomputers and colossally large datasets. And even after crunching all that data, those systems are tethered to the constraints of human creativity—only mimicking humans’ past works without an ability to generate new ideas.
A team led by Professor Choi Hong-Soo in the Department of Robotics and Mechatronics Engineering at DGIST has discovered a method to enhance the penetration of magnetic nanoparticles into cancer cells and their magnetic hyperthermia effects through research on chain disassembly and magnetic propulsion mechanisms using a rotational magnetic field.
Published in the journal ACS Nano, their study focused on the delivery of magnetic therapeutic agents using magnetic fields, an area receiving attention in the field of cancer treatment. It is expected to contribute significantly by improving drug delivery efficiency and therapeutic effects in targeted cancer treatments.
Recently, the development of targeted therapeutics that selectively treat cancer cells has been gaining attention in the field of cancer treatment. Among them, research on magnetic carriers that target cancer cells using magnetic fields is underway. However, a problem arises when magnetic nanoparticles are exposed to a uniform magnetic field with a general form; they form long chains in the direction of the magnetic field, making penetration into cancer cells or tumors difficult and reducing the therapeutic efficacy.
Scholars at Carnegie Mellon University recently offered what they call a “High-Modality Multimodal Transformer,” which combines not just text, image, video, and speech but also database table information and time series data. Lead author Paul Pu Liang and colleagues report that they observed “a crucial scaling behavior” of the 10-mode neural network. “Performance continues to improve with each modality added, and it transfers to entirely new modalities and tasks.”
Scholars Yiyuan Zhang and colleagues at the Multimedia Lab of The Chinese University of Hong Kong boosted the number of modalities to a dozen in their Meta-Transformer. Its point clouds model 3D vision, while its hyper-spectral sensing data represents electromagnetic energy reflected back from the ground to fly-over images of landscapes.
The immediate payoff of multi-modality will simply be to enrich the output of a thing such as ChatGPT in ways that go far beyond the “demo” mode. A children’s storybook, a book with text passages combined with pictures illustrating the text, is one immediate example. By combining the language and image attributes, the kinds of pictures created by the diffusion process can be more subtly controlled from picture to picture.
Following the successful launch of Spotify’s AI-powered DJ feature and, more recently, added support for AI-translated podcasts, Spotify now appears to be developing another means of using AI in its app: AI-powered playlists. References discovered in the app’s code indicate the company may be developing generative AI playlists users could create using prompts.
The additions were uncovered by tech veteran-turned-investor Chris Messina, who posted screenshots of code in Spotify’s app that refer to “AI playlists” and “playlists based on your prompts.” He theorized that creating these may be an option within the Blend genre, where the tastes of different users are mixed to create a playlist with songs that everyone likes.
Generative AI was the explosive breakout tech trend of 2023, capturing the attention of not only techies and futurists but mainstream audiences, too, with its ability to create seemingly human-like content.
With tech giants including Microsoft, Google and Meta pouring their apparently limitless resources into the technology, we can expect equally game-changing innovation in 2024.
Generative AI is an incredibly powerful tool that will play an important role in democratizing access to the transformative potential of AI. And I believe everyone needs to be aware of what’s coming in order to carefully consider the impact it will have on our lives.
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Helsinki’s Callboats pioneers autonomous water taxis, aiming to cut costs, improve island access, and reduce captain shortages.
Autonomous electric water transport could be the answer to improving accessibility, achieving carbon neutrality, and addressing a shortage of skippers in the Helsinki archipelago. However, current legislation is a barrier to the operation of remotely controlled boats, according to a Helsinki Times.
Over the years, Forum Virium Helsinki, the innovation agency of the City of Helsinki, has accelerated various business ideas through its rapid innovation experiments. Successful innovations in smart mobility include autonomous transportation solutions like robot buses, drones delivering first aid supplies, and sweeping robot machines.
A fleet of five AVs will operate on a 5-mile stretch in the upend Jumeirah neighborhood.
Dubai is set to be the first city in the Middle East to start the trial of fully autonomous vehicles (AVs). On an experimental basis, the service will be carried by US-firm Cruise, which plans to initiate the services next month, according to.
Cruise and the Dubai Roads and Transport Authority signed a contract that designated Cruise as the only supplier of self-driving taxis and ride-hailing services back in 2021.
OpenAI CEO Sam Altman compared the capabilities of AGI to a “median human.”
Critics and internet users aren’t happy with OpenAI CEO Sam Altman’s comments in a recent profile published in the New Yorker.
Not to be confused with generative… More.
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Participants individually interacted with a conversational AI mental health chatbot for about 30 minutes to determine if they would recommend it to a friend.
As human beings, we rely on recommendations or warnings from our friends and family. It gives us an added perspective on what to expect from a particular service, a product, or another human being. As per the latest study, the same is true for the way in which we trust and perceive an AI chatbot.
Researchers from Massachusetts Institute of Technology (MIT) and Arizona State University conducted a study in which they found that even though every person in their sample size of 310 people interacted with the exact same chatbot, their interactions with it were influenced by what they had been told before.
