We’ve built machines that are capable of incredible feats, yet still they have nothing on a baby.
Millennia of evolution have left us ill prepared to crack open the black box of AI and peer inside.
Thinking machines think just like us—but only up to a point.
Military scholars warn of a “battlefield singularity,” a point at which humans can no longer keep up with the pace of conflict.
The key to good AI is solid data, and that’s been tough to come by in a global health crisis.
A robot comic is more funny when it has good timing.
Artificial intelligence algorithms integrating chest computed tomography scans and clinical information can diagnose COVID-19 with similar accuracy as compared to a senior radiologist.
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.
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.
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.
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.
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.
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.
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.
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.
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.
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.
As the AI improves in quality,. the question arises on whether it will affect the economy and its people.