Recently, there has been a reemergence of interest in optical computing platforms for artificial intelligence-related applications. Optics is ideally suited for realizing neural network models because of the high speed, large bandwidth and high interconnectivity of optical information processing.
Deep learning outperforms standard machine learning in biomedical research applications, research shows
Compared to standard machine learning models, deep learning models are largely superior at discerning patterns and discriminative features in brain imaging, despite being more complex in their architecture, according to a new study in Nature Communications led by Georgia State University.
With 2020 now behind us, I am sure many of us (if not all of us) are breathing a sigh of relief. In the business community, 2020 became about surviving, pivoting, adapting, and navigating what suddenly became a brand-new landscape.
Below are 10 bold predictions about what will unfold in the world of artificial intelligence in 2021, from academic research to startups to capital markets to regulation. To keep ourselves honest, we will revisit these predictions in December 2021 to grade how we did.
Slowing down climate change is an urgent matter. If we fail, our world will face a more extensive crisis than we experienced because of the global COVID-19 pandemic. When artificial intelligence (AI) technology helps solve a problem, problem-solving can be done quicker, and the solution is often one that would have taken longer for humans to discover.
Movie ratings can determine a movie’s appeal to consumers and the size of its potential audience. Thus, they have an impact on a film’s bottom line. Typically, humans do the tedious task of manually rating a movie based on viewing the movie and making decisions on the presence of violence, drug abuse and sexual content.
It is a simple truth: the field of artificial intelligence is far too male-dominated. According to a 2018 study from Wired and Element AI, just 12% of AI researchers globally are female.
Space exploration has gone to the dogs; not the real ones, the robotic one. NASA scientists have come up with a rather out-of-the-box idea of sending a robot dog to Mars.
Artificial intelligence (AI) promises to help enterprises boost productivity, business agility, and customer satisfaction while shortening the time required to bring new products and services to market. Yet as more IT leaders plunge their organizations deep into AI science, many are finding disappointment rather than success.
In a classic experiment on human social intelligence by psychologists Felix Warneken and Michael Tomasello, an 18-month old toddler watches a man carry a stack of books towards an unopened cabinet. When the man reaches the cabinet, he clumsily bangs the books against the door of the cabinet several times, then makes a puzzled noise.
The world of AI has been shaken by Google’s dismissal of AI Ethicist Dr Timnit Gebru last week. This behaviour is emblematic of the self-centred attitudes of major tech companies which also results in lack of commitment to democratisation of technology. With Facebook, Amazon and Apple also into the spotlight for allegedly creating a monopoly, the time has come for SMEs to re-revaluate their AI providers.
Machine Learning (ML) is a well-known innovation that nearly everyone knows about. A study uncovers that 77% of devices that we presently use are utilizing ML. From a social event of SMART devices over Netflix proposition through products like Amazon’s Alexa, and Google Home, artificial intelligence services are proclaiming cutting-edge innovative solutions for organizations and regular day to day existences.
Artificial neural networks (ANN) give machines the ability to process data similar to the human brain and make decisions or take actions based on the data. While there’s still more to develop before machines have similar imaginations and reasoning power as humans, ANNs help machines complete and learn from the tasks they perform.
Can computers read and apply legal rules? It’s an idea that’s gaining momentum, as it promises to make laws more accessible to the public and easier to follow. But it raises a host of legal, technical and ethical questions.
A convolutional neural network is a type of artificial neural network in which the neurons are organized into receptive fields in a very similar way to neurons in the visual cortex of a biological brain. Today, convolutional neural networks (CNNs) are found in a variety of autonomous systems.
Machine learning is already actively increasing employment opportunities for job applicants across the world, while AI could soon eliminate repetitive work entirely – allowing businesses more time to train workers to pick up more skilled tasks.