Two things often mentioned with deep learning are 'data' and 'compute resources.' You need a lot of both when developing, training, and testing deep learning models
"When developers don't have a lot of training samples or access to very powerful servers, they use transfer learning to finetune a pre-trained deep learning model for a new task.
At this year's ICML conference, scientists at IBM Research and Taiwan's National Tsing Hua University Research introduced 'black-box adversarial reprogramming' (BAR), an alternative repurposing technique that turns a supposed weakness of deep neural networks into a strength..."
Artificial intelligence research outfit OpenAI Inc. recently made the latest version of its GPT-3 general-purpose natural language processing model available in private beta, and its capabilities are astounding early testers
"GPT-3 is the third generation of OpenAI's Generative Pretrained Transformer, which is general-purpose language algorithm that uses machine learning to translate text, answer questions and predictively write text. It works by analyzing a sequence of words, text or other data, then expanding on these examples to produce entirely original output in the form of an article or an image..."
The recent Covid crisis and other calamities exposed a lack of nimbleness in supply chain networks. Can artificial intelligence make things right?
"The word on the street is that artificial intelligence efforts have not been delivering the impressive results everyone has been hoping for. The payoff, however, is likely to be found in well-targeted placements in which AI is handling, in real-time, complicated tasks that would take humans days or weeks to unravel. Managing the flow of telecom traffic is one example, or keeping IT networks up and running is another. Still another, with enormous tangible business value, is the ability to keep supply chains flowing..."
Information security challenges are proving to be a huge barrier for the artificial intelligence ecosystem. Conversely, AI is causing headaches for CISOs. Here's why
"Information security is all about keeping an organization's information secure and maintaining its integrity. Some time ago, all this meant was good locks on the doors, physical as well as virtual.
The first challenge to this philosophy started in the 2000s with software-as-a-service (SaaS), when vendors asked that companies volunteer data to shared servers. The information security industry responded with stronger encryptions and contracts. Enterprises added another layer by simply refusing to let the data outside their firewalls. They asked for on-premises deployments and private clouds instead. This was the origin of the debate that has not settled for decades . and counting!..."
Artificial general intelligence (AGI) is on the way, and open source is key to achieving its benefits and controlling its risks
"Artificial general intelligence (AGI), which is the next phase of artificial intelligence, where computers meet and exceed human intelligence, will almost certainly be open source.
AGI seeks to solve the broad spectrum of problems that intelligent human beings can solve. This is in direct contrast with narrow AI (encompassing most of today's AI), which seeks to exceed human abilities at a specific problem. Put simply, AGI is all the expectations of AI come true..."
Increasing automation and digitization is inevitable. More companies are transferring their operations to IT systems, and more of these operations are being automated
"However, what isn't inevitable is the rise in IT failures and periods of downtime that digitization and automation entail. Businesses are losing billions of dollars per year from IT downtime.
Fortunately, the increasing use of AI-based predictive analytics can root out problems before they even arise..."
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