We need more safeguards in place to prevent us from mistaking machines for humans
A Google engineer claims one of the company’s chatbots has become sentient. Experts disagree, but the debate raises old questions about the nature of consciousness.
With conventional methods, it is extremely time-consuming to calculate the spectral fingerprint of larger molecules. But this is a prerequisite for correctly interpreting experimentally obtained data. Now, a team has achieved very good results in significantly less time using self-learning graphical neural networks.
Google has placed one of its engineers on leave after claiming the company’s LaMDA chatbot is “sentient”.
As applications of artificial intelligence spread, more computation has to occur—and more efficiently with lower energy consumption—on local devices instead of in geographically distant data centers in order to overcome frustrating delays in response.
Blake Lemoine claims of sentience for artificial intelligence bot described as ‘ball of confusion’ by Steven Pinker
Researcher’s claim about flagship LaMDA project has restarted debate about nature of artificial intelligence
The skin of cephalopods, such as octopuses, squids and cuttlefish, is stretchy and smart, contributing to these creatures' ability to sense and respond to their surroundings. Scientists have harnessed these properties to create an artificial skin that mimics both the elasticity and the neurologic functions of cephalopod skin, with potential applications for neurorobotics, skin prosthetics, artificial organs and more.
Engineers built a new artificial intelligence chip, with a view toward sustainable, modular electronics. The chip can be reconfigured, with layers that can be swapped out or stacked on, such as to add new sensors or updated processors.
An AI tool has spotted subtle evidence of changes in flint tools that indicate ancient humans had cooking fires at a 1-million-year-old archaeological site in Israel
The rise of artificial intelligence (AI) and machine learning (ML) has created a crisis in computing and a significant need for more hardware that is both energy-efficient and scalable. A key step in both AI and ML is making decisions based on incomplete data, the best approach for which is to output a probability for each possible answer.
Blake Lemoine, the engineer, says that Google’s language model has a soul. The company disagrees.
Blake Lemoine, the engineer, says that Google’s language model has a soul. The company disagrees.
Blake Lemoine says system has perception of, and ability to express thoughts and feelings equivalent to a human child
To many they are art's next big thing—digital images of jellyfish pulsing and blurring in a dark pink sea, or dozens of butterflies fusing together into a single organism.
Google has explained how machine learning is helping to make Chrome more secure and enjoyable.
For three decades now, carbon emissions from cars have been a political and social issue; there are reporting obligations for manufacturers, government regulation, and much accompanying research. A similar approach might be taken with a modern product that is spreading at an enormous pace and also has an impact on the climate: "artificial intelligence" (AI), software based on adaptive algorithms for various purposes, from self-driving cars to automatic image recognition and translation tools to optimizing logistics.
The text-to-art program DALL-E 2 generates images from brief descriptions. But what does it mean to make art when an algorithm automates so much of the creative process itself?