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In the News
Thom Yorke and Julianne Moore join thousands of creatives in AI warning
Abba’s Björn Ulvaeus, the actor Julianne Moore and the Radiohead singer Thom Yorke are among 10,500 signatories of a statement from the creative industries warning artificial intelligence companies that unlicensed use of their work is a “major, unjust threat” to artists’ livelihoods.
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In The News
Perplexity AI seeks $9bn valuation in funding round
Perplexity AI, a company developing AI-driven search tools, is in preliminary discussions for a funding round that could value the company at around $9 billion. The startup aims to raise more than $500 million.
IBM unveils Granite 3.0 AI models with open-source commitment
IBM claims that its new 8B and 2B language models can match or surpass the performance of similarly sized offerings from leading providers across numerous academic and industry benchmarks.
Thom Yorke and Julianne Moore join thousands of creatives in AI warning
Abba’s Björn Ulvaeus, the actor Julianne Moore and the Radiohead singer Thom Yorke are among 10,500 signatories of a statement from the creative industries warning artificial intelligence companies that unlicensed use of their work is a “major, unjust threat” to artists’ livelihoods.
Applied use cases
Stability AI releases most powerful image generation models to date
The models incorporate Query-Key Normalisation in transformer blocks, enhancing training stability and simplifying fine-tuning processes. However, this flexibility comes with trade-offs, including greater variation in outputs from identical prompts with different seeds.
AI art: The end of creativity or the start of a new movement?
Artificial intelligence is being used to generate paintings, images and even sculptures, with some selling for thousands of dollars. Do we need to reframe our definition of art?
5 Aspects Of Artificial Intelligence And Healthcare For 2024
One of the areas where new artificial intelligence tools are doing most is in the world of medicine.
Ethics
AI value alignment: How we can align artificial intelligence with human values
As AI continues to integrate into almost every aspect of life – from healthcare to autonomous driving – there is a growing imperative to ensure that AI systems reflect and uphold shared human values.
Exploring bias risks in AI and targeted medicines manufacturing
Though artificial intelligence holds great value for healthcare, it may also amplify health inequalities through risks of bias. In this paper, we explore bias risks in targeted medicines manufacturing.
AI, cryptocurrencies and data privacy: Comparing the Trump and Harris records on technology regulation
As a researcher of information systems and AI, I examined both candidates’ records on technology regulation. Here are the important differences.
Robotics
Boston Dynamics and Toyota Research Team Up on Robots
Today, Boston Dynamics and the Toyota Research Institute (TRI) announced a new partnership “to accelerate the development of general-purpose humanoid robots utilizing TRI’s Large Behavior Models and Boston Dynamics’ Atlas robot.”
China's Horizon Robotics raises $696 mln in biggest Hong Kong IPO of 2024, term sheet shows
Chinese autonomous driving firm Horizon Robotics has priced its shares at the top of its range to raise HK$5.4 billion ($696 million) according to a term sheet seen by Reuters, making it the biggest Hong Kong initial public offering this year.
Combining next-token prediction and video diffusion in computer vision and robotics
A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.
Research
Repeatability and reproducibility of artificial intelligence-acquired fetal brain measurements (SonoCNS) in the second and third trimesters of pregnancy
After pressing the “start measurements” button, the system locates the specified structures and measures them. This can then be confirmed by the operator and added to the final examination report.
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
A thorough model analysis provides further insights into its key components and confirms its robustness and effectiveness. This work contributes to the resurgence of recurrent models in time series forecasting.
Promises and challenges of generative artificial intelligence for human learning
Here the authors examine the integration of GenAI as a tool for human learning, addressing its promises and challenges from a holistic viewpoint that integrates insights from learning sciences, educational technology and human–computer interaction.
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