In the News
Netflix touts $900k AI jobs amid Hollywood strikes
Netflix has triggered an angry response from striking Hollywood actors and writers after posting a job advert for an AI expert.
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In The News
10 Biggest Misconceptions about AI
AI is Just Like Human Intelligence One of the biggest myths is that AI possesses the same level of intelligence and consciousness as humans when in reality.
Inworld AI raises $50M round at $500M valuation for AI game characters
Inworld AI has raised $50 million funding from Lightspeed Venture Partners, bringing the valuation of the maker of an AI-based character engine for games to over $500 million.
The case for more AI in politics
Eric Wilson thinks AI has an important, not-at-all scary role to play in professional politics. The tech platforms just need to loosen up.
Applied use cases
Can Doctor AI predict cancer, save lives?
An AI tool had analysed the patient’s entire medical history for red flags. Noticing several early indicators, it concluded that the patient had a high risk of developing cancer. So, the patient was sent for imaging tests.
How MIT’s Liquid Neural Networks can solve AI problems from robotics to self-driving cars
Liquid neural networks can spur new innovations in AI and are particularly exciting in areas where traditional deep learning models struggle, such as robotics and self-driving cars.
Evidence, ethics and the promise of AI in psychiatry
Researchers are studying how electronic health records (EHR), rating scales, brain imaging data, social media platforms and sensor-based monitoring systems can be used to better predict, classify or prognosticate mental illnesses such as depression and psychosis, or predict the risk of suicide.
Ethics
Seeking the Best Algorithm for Ethical War Crimes
Most realists understand the meaning of the proverb “all’s fair in love and war.” The judgment of war crimes that sometimes takes place after the end of a war typically falls upon the losers.
Google, Microsoft, Meta, Amazon Pledge AI Safety and Security at White House
Seven tech giants have made a "voluntary commitment" to the Biden administration that they will work to reduce the risks involved in artificial intelligence.
Is Artificial Intelligence Anti-Black?
A 2021 report by the University of Pennsylvania Law School Policy Lab on AI and Implicit Bias sought to investigate the role that bias plays in recruiting and hiring platforms.
Robotics
Boston Dynamics’ Founder : Robots can do more than dance
Raibert hopes to teach robots to watch humans perform tasks, understand what they’re seeing, and then do it themselves—or know when they don’t understand something, and how to ask questions to fill in those gaps.
Sequoia leads $30M round for robot developer Collaborative Robotics
Collaborative Robotics Inc., a startup founded by the former head of Amazon.com Inc.’s robotics unit, today disclosed that it has raised $30 million in Series A funding.
Will intelligent robots soon be able to serve as rabbis?
As AI expands across more professions, robot preachers and AI programs offer new means of sharing religious beliefs, but they may undermine credibility and reduce donations for religious groups that rely on them.
Research
15 Deep Learning Courses for High Salary Jobs
The study involved using machine learning techniques on photographs of Danish politicians' faces, and the algorithm achieved an accuracy rate of 61% in its predictions.
Meta's Voicebox Outperforms State-of-the-Art Models on Speech Synthesis
Meta recently announced Voicebox, a speech generation model that can perform text-to-speech (TTS) synthesis in six languages, as well as edit and remove noise from speech recordings.
research | New AI model outperforms traditional methods in predicting central Pacific El Niño
In a recently published study, researchers from the Institute of Atmospheric Physics of the Chinese Academy of Sciences have developed an AI model using deep learning algorithms that outperforms traditional dynamic models in predicting the development and pattern of El Niño.
An early warning model of type 2 diabetes risk based on POI visit history and food access management
Existing spatio-temporal POI structured feature prediction efforts typically focus on location recommendation or cases using auto-regressive integrated averaging, including dynamic disease propagation of the long short-term memory (LSTM) prediction model [9], and patient-level sequential modeling.
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