Boston Dynamics Starting from the technological building blocks of Atlas, Stretch has the mobility, power, and intelligence to automate warehousing’s toughest tasks. See how we went from initial idea to a product delivering value in the real world.
Category: robotics/AI – Page 921
Teaching AI systems to use intuition to find new medicines
A combined team of biomedical researchers from Novartis Institutes for Biomedical Research and Microsoft Research AI4Science has made inroads into teaching AI systems how to find new medicines. In their study, reported in the journal Nature Communications, the group used feedback from chemists in the field to provide intuition guidelines for an AI model.
Finding new medicines is a notoriously difficult and laborious task. The process for finding new therapies typically involves experts in a variety of fields working on different parts of the problem. Doctors and other medical researchers, for example, must first uncover the roots of a given illness to find its cause. Chemists or other medical researchers must then find a chemical that might reverse the problem or stop it from happening in the first place.
Both parts of the process take time and effort. In this new project, the research team sought to determine whether AI applications might make the second part easier.
HOLY SH!T!! Quantum Internet Will Change The World Forever
Not a perfect presentation but a quantum Internet will be nice. The question is, how will bad actors/Black Hat hackers adapt?
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Fake everything: how machine learning is being used to fight back against disinformation campaigns
Another good use for AI. Fighting disinformation.
About 60% of adults in the US who get their news through social media have, largely unknowingly, shared false information, according to a poll by the Pew Research Center. The ease at which disinformation is spread and the severity of consequences it brings — from election hacking to character assassination — make it an issue of grave concern for us all.
One of the best ways to combat the spread of fake news on the internet is to understand where the false information was started and how it was disseminated. And that’s exactly what Camille Francois, the chief innovation officer at Graphika, is doing. She’s dedicated to bringing to light disinformation campaigns before they take hold.
Francois and her team are employing machine learning to map out online communities and better understand how information flows through networks. It’s a bold and necessary crusade as troll farms, deep fakes, and false information bombard the typical internet user every single day.
Francois says, this work is two parts technology, one part sociology. The techniques are always evolving, and we have to stay one step ahead.” We sit down with Francois for an in-depth discussion on how the tech works and what it means for the dissemination of information across the internet.
A Third Way on AI
Last week was an important moment in the debate about AI, with President Biden issuing an executive order and the UK’s AI Safety Summit convening world leaders.
Much of the buzz around these events made it sound like AI presents us with a binary choice: unbridled optimism, or existential fear. But there was also a third path available, a nuanced, practical perspective that examines the real risks and benefits of AI.
There have been people promoting this third perspective for years — although GPT-fueled headlines of the past 12 months have often looked past them. They are foundations, think tanks, researchers and activists (including a number of Mozilla fellows and founders) plus the policymakers behind efforts like last year’s AI Blueprint for an AII Bill of Rights.
Scientists use quantum biology, AI to sharpen genome editing tool
Scientists at Oak Ridge National Laboratory have used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
CRISPR is a powerful tool for bioengineering, used to modify genetic code to improve an organism’s performance or to correct mutations. The CRISPR Cas9 tool relies on a single, unique guide RNA that directs the Cas9 enzyme to bind with and cleave the corresponding targeted site in the genome.
Existing models to computationally predict effective guide RNAs for CRISPR tools were built on data from only a few model species, with weak, inconsistent efficiency when applied to microbes.
Humans at the heart of generative AI
It’s a stormy holiday weekend, and you’ve just received the last notification you want in the busiest travel week of the year: the first leg of your flight is significantly delayed.
You might expect this means you’ll be sitting on hold with airline customer service for half an hour. But this time, the process looks a little different: You have a brief text exchange with the airline’s AI chatbot, which quickly assesses your situation and places you in a priority queue. Shortly after, a human agent takes over, confirms the details, and gets you rebooked on an earlier flight so you can make your connection. You’ll be home in time to enjoy mom’s pot roast.
New analysis in Science explores artificial intelligence and interspecific law
Artificial intelligence already wears multiple hats in the workplace, whether its writing ad copy, handling customer support requests, or filtering job applications. As the technology continues its ascent and capabilities, the notion of corporations managed or owned by AI becomes less far-fetched. The legal framework already exists to allow “Zero-member LLCs.”
How would an AI-operated LLC be treated under the law, and how would AI respond to legal responsibilities or consequences as the owner/manager of an LLC? These questions speak to an unprecedented challenge facing lawmakers: the regulation of a nonhuman entity with the same (or better) cognitive capabilities as humans that, if left unresolved or poorly addressed, could slip beyond human control.
“Artificial intelligence and interspecific law,” an article by Daniel Gervais of Vanderbilt Law School and John Nay of The Center for Legal Informatics at Stanford University, and a Visiting Scholar at Vanderbilt, argues for more AI research on the legal compliance of nonhumans with human-level intellectual capacity.