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Disposable plastics are everywhere: Food containers, coffee cups, plastic bags. Some of these plastics, called compostable plastics, can be engineered to biodegrade under controlled conditions. However, they often look identical to conventional plastics, are recycled incorrectly, and as a result,…
Hashing is a core operation in most online databases, like a library catalog or an e-commerce website. A hash function generates codes that replace data inputs. Since these codes are shorter than the actual data, and usually a fixed length,…
Humans innately learn to adapt their movements based on the materials they are handling and the tasks that they are trying to complete. When chopping specific fruits or vegetables, for instance, they might learn to cut around harder parts, such…
In recent years, computer scientists have developed increasingly advanced algorithms for controlling the movements of robotic agents. These include model predictive control (MPC) techniques, which use a model of the agent's dynamics to optimize its future behavior toward a given…
Google's launch of Bard, it's search-integrated, AI-powered chatbot, went wrong when the bot's first advertisement accidentally showed it was unable to find and present accurate information to users.…
ChatGPT's explosive growth has been breathtaking. Barely two months after its introduction last fall, 100 million users had tapped into the AI chatbot's ability to engage in playful banter, argue politics, generate compelling essays and write poetry.…
Roboticists have developed many advanced systems over the past decade or so, yet most of these systems still require some degree of human supervision. Ideally, future robots should explore unknown environments autonomously and independently, continuously collecting data and learning from…
A new study from researchers at MIT and Brown University characterizes several properties that emerge during the training of deep classifiers, a type of artificial neural network commonly used for classification tasks such as image classification, speech recognition, and natural…
Human assumptions regarding language usage can lead to flawed judgments of whether language was AI- or human-generated, Cornell Tech and Stanford researchers have found in a series of experiments.…
In November, Google announced that it was embarking on an initiative that would culminate in the development of a machine-learning model capable of recognizing and translating 1,000 of the world's most spoken languages. Over the past several months, the company…
A team of computer science researchers with members from Google, ETH Zurich, NVIDIA and Robust Intelligence, is highlighting two kinds of dataset poisoning attacks that could be used by bad actors to corrupt AI system results. The group has written…
Most of us take our voices for granted. But if we sing too long at a wild party, scream for our team at a sports event or suffer a bout of laryngitis due to a cold, we quickly learn how…
As the use of machine learning (ML) algorithms continues to grow, computer scientists worldwide are constantly trying to identify and address ways in which these algorithms could be used maliciously or inappropriately. Due to their advanced data analysis capabilities, in…
The artificial intelligence (AI) language model ChatGPT has captured the world's attention in recent months. This trained computer chatbot can generate text, answer questions, provide translations, and learn based on the user's feedback. Large language models like ChatGPT may have…
Turns out, even language models "think" they're biased. When prompted in ChatGPT, the response was as follows: "Yes, language models can have biases, because the training data reflects the biases present in society from which that data was collected. For…
A trio of economic management scientists, two with the Sloan School of Management at MIT and one with Virginia Tech, are warning of the consequences of industry dominance in AI research. In their Policy Forum piece published in the journal…
Modern fabrication tools such as 3D printers can make structural materials in shapes that would have been difficult or impossible using conventional tools. Meanwhile, new generative design systems can take great advantage of this flexibility to create innovative designs for…
While robots have become increasingly advanced over the past few years, most of them are still unable to reliably navigate very crowded spaces, such as public areas or roads in urban environments. To be implemented on a large-scale and in…
A new machine learning model can predict traffic activity in different zones of cities. To do so, a Complexity Science Hub researcher used data from a main car-sharing company in Italy as a proxy for overall city traffic. Understanding how…
The human retina not only senses light signals, but also processes them simultaneously by capturing their rich dynamics, thus accelerating the task-dependent learning in the down-stream visual cortex. This synergy of both the retina and the visual cortex has inspired…
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