It's Called Artificial Intelligence—but What Is Intelligence?
We’ve built machines that are capable of incredible feats, yet still they have nothing on a baby.
As Machines Get Smarter, How Will We Relate to Them?
Millennia of evolution have left us ill prepared to crack open the black box of AI and peer inside.
Is the Brain a Useful Model for Artificial Intelligence?
Thinking machines think just like us—but only up to a point.
Are AI-Powered Killer Robots Inevitable?
Military scholars warn of a “battlefield singularity,” a point at which humans can no longer keep up with the pace of conflict.
Why Didn't Artificial Intelligence Save Us From Covid-19?
The key to good AI is solid data, and that’s been tough to come by in a global health crisis.
Comedy club performances provide insights on how robots, humans connect via humor
A robot comic is more funny when it has good timing.
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
Artificial intelligence algorithms integrating chest computed tomography scans and clinical information can diagnose COVID-19 with similar accuracy as compared to a senior radiologist.
2,4-dienoyl-CoA reductase regulates lipid homeostasis in treatment-resistant prostate cancer
Androgen receptor (AR) signalling regulates cellular metabolism in prostate cancer. Here, the authors perform a proteomics and metabolomics characterisation of prostate cancer cells adapted to long-term resistance to AR inhibition and show rewiring of glucose and lipid metabolism, and further identify a signature associated with resistance to AR inhibition.
Marshaling artificial intelligence in the fight against Covid-19
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.
Artificial pieces of brain use light to communicate with real neurons
Researchers have created a way for artificial neuronal networks to communicate with biological neuronal networks. The new system converts artificial electrical spiking signals to a visual pattern than is then used to entrain the real neurons via optogenetic stimulation of the network.
Uber plans to lay off another 3,000 employees
Less than two weeks after Uber shared plans to lay off 3,700 employees, the company announced that it will let another 3,000 workers go.
How a Chinese AI Giant Made Chatting—and Surveillance—Easy
Alexa can tell you the weather. Siri knows a few jokes. In China, voice-computing company iFlytek built similar smart assistants beloved by users. But its tech is also helping the government listen in.
AI-doscopist: a real-time deep-learning-based algorithm for localising polyps in colonoscopy videos with edge computing devices
We have designed a deep-learning model, an “Artificial Intelligent Endoscopist (a.k.a. AI-doscopist)”, to localise colonic neoplasia during colonoscopy. This study aims to evaluate the agreement between endoscopists and AI-doscopist for colorectal neoplasm localisation.
AI for social good: unlocking the opportunity for positive impact
The AI for Social Good movement aims to apply AI/ML tools to help in delivering on the United Nations’ sustainable development goals (SDGs). Here, the authors identify the challenges and propose guidelines for designing and implementing successful partnerships between AI researchers and application - domain experts.
Closed-loop digital meditation for neurocognitive and behavioral development in adolescents with childhood neglect
MUC1-C is overexpressed in castration-resistant prostate cancer and neuroendocrine prostate cancer. Here, the authors show that MUC1-C drives lineage plasticity through MYC and BRN2, inducing neuroendocrine features and stemness in prostate cancer.
Predicting conversion to wet age-related macular degeneration using deep learning
In individuals diagnosed with age-related macular degeneration in one eye, a deep learning model can predict progression to the ‘wet’, sight-threatening form of the disease in the second eye within a 6-month time frame.
Early Bird uses 10 times less energy to train deep neural networks
Engineers have found a way to train deep neural networks for a fraction of the energy required today. Their Early Bird method finds key network connectivity patterns early in training, reducing the computations and carbon footprint for training deep learning.
Is artificial intelligence a threat to our livelihood?
As the AI improves in quality,. the question arises on whether it will affect the economy and its people.