AI News Weekly – Issue #377: Next in AI : Pioneers’ Predictions! – Mar 21st 2024
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In the News
3 tech pioneers on the biggest AI breakthroughs – and what they expect will come next
Three leading experts in AI spoke to the World Economic Forum in a series of interviews. Mustafa Suleyman, Aidan Gomez and Yann LeCun anticipate profound societal impacts from generative AI and LLM, including productivity gains in healthcare. Among their predictions: the Turing Test may need updating to reflect AI’s evolving capabilities and how the technology is going to reshape the economy in the coming decade.
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In The News
Mustafa Suleyman: the new head of Microsoft AI with concerns about his trade
Like many artificial intelligence pioneers, Mustafa Suleyman has expressed concerns about a technology he has played an important role in developing.
Saudi Arabia Plans $40 Billion Push Into AI
The Middle Eastern country is creating a gigantic fund to invest in A.I. technology, potentially becoming the largest player in the hot market.
Judge declines to sanction Michael Cohen, lawyer over AI-generated fake case citations
A federal judge on Wednesday declined to sanction Michael Cohen and his lawyer for submitting fraudulent case citations generated by AI — but chided them for the “embarrassing and certainly negligent” episode.
Applied use cases
Nvidia: US tech giant unveils latest AI chip
Nvidia has unveiled its latest artificial intelligence (AI) chip which it says can do some tasks 30 times faster than its predecessor.
10% of US workers are in jobs most exposed to AI, White House says
About 10% of US workers are in jobs that face the greatest risk of disruption from rapidly evolving artificial intelligence, according to a White House analysis shared first with CNN.
How bracketologists are using AI this March Madness
College hoops fans might want to think again before pinning their hopes of a perfect March Madness bracket on artificial intelligence.
Ethics
UN General Assembly to address AI’s potential risks, rewards
The UN General Assembly will turn its attention to artificial intelligence on Thursday, weighing a resolution that lays out the potentially transformational technology’s pros and cons while calling for the establishment of international standards.
Africa’s push to regulate AI starts now
AI is expanding across the continent and new policies are taking shape. But poor digital infrastructure and regulatory bottlenecks could slow adoption.
Is it ethical to use generative AI if you can’t tell whether it is right or wrong?
A survey of 3,838 researchers published by Nature revealed that 31% of respondents used generative artificial intelligence (GenAI).
Robotics
Disney showcasing latest robots at Robotics Summit & Expo
If you’ve ever been to a Disney park, you’ve probably interacted with work from Disney’s Imagineering team. Founded in 1952, the team is tasked with bringing our favorite characters from the screen into the real world using cutting-edge robotics technology.
A model that could broaden the manipulation skills of four-legged robots
Robotic systems have become increasingly sophisticated over the past decades, evolving from rudimental stiff robots to a wide range of soft, humanoid, animal-inspired robots.
Nvidia enlists humanoid robotics’ biggest names for new AI platform, GR00T
It’s tough to argue with Nvidia CEO Jensen Huang when he notes, “Building foundation models for general humanoid robots is one of the most exciting problems to solve in AI today.”
Research
Artificial intelligence and illusions of understanding in scientific research
The proliferation of AI tools in science risks introducing a phase of scientific enquiry in which we produce more but understand less. By analysing the appeal of these tools, we provide a framework for advancing discussions of responsible knowledge production in the age of AI.
The lucent yet opaque challenge of regulating AI in radiology
Here we discuss the current and future regulatory landscapes of AI/ML in radiology, and we highlight pressing challenges that are critical for regulatory bodies to traverse.
Authorship attribution in twitter: a comparative study of machine learning and deep learning approaches
This study proposes an AA approach using machine and deep learning algorithms to accurately predict the author of unknown posts on social media platforms. It introduces Temporal Convolutional Networks (TCN) for short texts, investigates the effectiveness of combining Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN), and explores the use of an Autoencoder combined with Adaboost classifier.
Sponsor
GenAI can transform business operations
GenAI presents immense opportunities for innovation, personalized customer experiences and streamlined operations. We explore how AI can transform roles and boost performance across business functions, customer operations and software development.
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