There is no proof that AI can be controlled, according to extensive survey

The article discusses the significant challenges and potential dangers of controlling artificial intelligence, as highlighted by AI Safety expert Dr. Roman V. Yampolskiy, who argues for a cautious approach to AI development due to the lack of evidence for safe control and the possible existential risks it poses.

AI risks turning organizations into self-serving organisms if humans removed

From University of Ottawa 11/01/24 With human bias removed, organizations looking to improve performance by harnessing digital technology can expect changes to how information is scrutinized. The proliferation of digital technologies like Artificial Intelligence (AI) within organizations risks removing human oversight and could lead institutions to autonomously enact information to create the environment of their […]

Training algorithm breaks barriers to deep physical neural networks

From Ecole Polytechnique Fédérale de Lausanne 28/12/23 EPFL researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning hardware. With their ability to process vast amounts of data through algorithmic ‘learning’ rather than traditional programming, it […]

AI just got 100-fold more energy efficient

From Northwestern University 13/11/23 Forget the cloud. Northwestern University engineers have developed a new nanoelectronic device that can perform accurate machine-learning classification tasks in the most energy-efficient manner yet. Using 100-fold less energy than current technologies, the device can crunch large amounts of data and perform artificial intelligence (AI) tasks in real time without beaming […]

Dynamic pacemaker lights keep traffic moving in Melbourne tunnel

From Superinnovators 31/10/23. This article is in TLDR (Too Long Didn’t Read) format which is popular in the innovation community and provides a bullet summary of information. More info You may also be curious about:

Meta decodes images from brain activity in real-time

From Superinnovators 25/10/23. This article is in TLDR (Too Long Didn’t Read) format which is popular in the innovation community and provides a bullet summary of information. More info You may also be curious about:

AI ten times faster at drug discovery: 1.5 billion potential compounds screened

From Journal of Chemical Information and Modeling 01/10/23 Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers from the University of Eastern Finland teamed up with industry and supercomputers to carry out one of the world’s largest virtual drug screens. In their efforts […]

I know what you are thinking: AI detects person’s intentions from just brain wave data

From DGIST (Daegu Gyeongbuk Institute of Science and Technology) 22/09/23 The research team led by Professor Sanghyun Park from the Department of Robotics and Mechanical Engineering at DGIST (President Kuk Yang) announced that they have developed a few-shot learning model capable of accurately classifying brain waves using a small amount of information. A large amount […]

AI drone racing pilot beats human world champions

From University of Zurich 31/08/23 Remember when IBM’s Deep Blue won against Gary Kasparov at chess in 1996, or Google’s AlphaGo crushed the top champion Lee Sedol at Go, a much more complex game, in 2016? These competitions where machines prevailed over human champions are key milestones in the history of artificial intelligence. Now a […]