A memristor-based Hopfield neural architecture to solve combinatorial optimization problems
Over the past few years, many researchers have tried to develop techniques and technologies that can solve combinatorial optimization problems, which entail identifying an optimal item or solution within a set number of possibilities. Past studies have tackled these problems using annealing-inspired computing accelerators based on a variety of technological tools, including quantum, optical and electronic devices.
These tech trends defined 2020 so far, according to 5 founders
2020 has been quite a year. Almost every industry and aspect of how we work, learn, and communicate was turned upside down. The need for fast tech solutions has brought about new trends and changes on a scale we’ve never seen before. It’s agile, fas
UC Berkeley’s Niloufar Salehi on restorative justice in social media
UC Berkeley assistant professor Niloufar Salehi is exploring how to apply restorative justice to social media platforms as part of an NSF grant.
Tech jobs are growing again. But the top skills companies want are changing
Demand for software developers and cloud jobs starts to grow again. But businesses are looking for a different set of skills.
Artificial intelligence is a totalitarian's dream - here's how to take power back
What are the political implications of AI knowing us better than we know ourselves?
Heads up: Flying robots inspect indoor spaces
Think drones are only for outside use? There's a major rethink happening in the sector.
SoftBank Group bounces back in Q1 from record loss
Net profit is up while sales slightly decreased for the Japanese giant, which has sold off $40 billion of assets over the past four months.
Google to introduce earthquake detection alerts to Android
The company believes Android phones can act as mini seismometers.
Team Australia: CSIRO's multimillion-dollar post-coronavirus plan
CSIRO will commit AU$100 million annually to the cause and is calling on industry, academia, and government to help.
What Kamala Harris’ record says about major AI policy issues
As Sen. Kamala Harris joins Joe Biden on the Democratic Party's presidential ticket, we look at her positions on issues like algorithmic bias.
Quantum materials quest could benefit from graphene that buckles
Graphene buckles when cooled while attached to a flat surface, resulting in pucker patterns that could benefit the search for novel quantum materials and superconductors, according to new research.
Soldiers could teach future robots how to outperform humans
Researchers have designed an algorithm that allows an autonomous ground vehicle to improve its existing navigation systems by watching a human drive.
Engaging undergrads remotely with an escape room game
Researchers describe an alternative way to engage students: a virtual game, modeled on an escape room, in which teams solve chemistry problems to progress and 'escape.'
Coded Bias review: An eye-opening account of the dangers of AI
Computers are worse at recognising women and people of colour than white men. Documentary Coded Bias shows that the problems don't stop there
The carbon impact of artificial intelligence
The part that artificial intelligence plays in climate change has come under scrutiny, including from tech workers themselves who joined the global climate strike last year. Much can be done by developing tools to quantify the carbon cost of machine learning models and by switching to a sustainable artificial intelligence infrastructure.
Making deep neural networks right for the right scientific reasons by interacting with their explanations
Deep learning approaches can show excellent performance but still have limited practical use if they learn to predict based on confounding factors in a dataset, for instance text labels in the corner of images. By using an explanatory interactive learning approach, with a human expert in the loop during training, it becomes possible to avoid predictions based on confounding factors.
Next chapter in artificial writing
OpenAI released a beta version of its language model, GPT-3. As artificial writing permeates our lives, the challenge is how to think clearly about what it is and what impact it could have on society.
Machine learning can predict market behavior, study says
Machine learning can assess the effectiveness of mathematical tools used to predict the movements of financial markets, according to new Cornell research based on the largest dataset ever used in this area.