AXELOS Global Best Practice | 112,184 followers on LinkedIn. We want to help individuals and organizations create better outcomes through the adoption of global best practice. | Axelos has been acquired by PeopleCert. ITIL, PRINCE2 and other Global Best Practi…
Heidi | 41,285 followers on LinkedIn. Heidi is the AI Care Partner designed to expand clinical capacity by automating administrative work – documentation, form filling, and task management - so clinicians can focus on patients. Used across emergency department…
AXELOS Global Best Practice | 112,184 followers on LinkedIn. We want to help individuals and organizations create better outcomes through the adoption of global best practice. | Axelos has been acquired by PeopleCert. ITIL, PRINCE2 and other Global Best Practi…
Video management tools and techniques are based on pixels rather than perceived content. Thus, state-of-the-art video editing systems can easily manipulate such things as time codes and image frames, but they cannot "know," for example, what a basketball is. O…
The interaction of robotics with behavioral and cognitive sciences has always been tight. As often described in the literature, the living has inspired the construction of many robots. Yet, in this article, we focus on the reverse phenomenon: building robots c…
Using commercial knowledge bases for clinical decision support: opportunities, hurdles, and recommendations
Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science and statistics, and at the core of artifi…
Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) to determine how well each state of each HMM fits a frame or a short window of frames of coefficients tha…
Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits or traffic signs. Our biologically plausible, wide and deep artificial neural network architectures can. Small (of…
Natural language processing (NLP) is a theory-motivated range of computational techniques for the automatic analysis and representation of human language. NLP research has evolved from the era of punch cards and batch processing (in which the analysis of a sen…
Since the beginnings of computer technology, researchers have speculated about the possibility of building smart machines that could compete with human intelligence. Given the current pace of advances in artificial intelligence and neural computing, such an ev…
Cognitive developmental robotics (CDR) aims to provide new understanding of how human's higher cognitive functions develop by means of a synthetic approach that developmentally constructs cognitive functions. The core idea of CDR is ldquophysical embodimentrdq…
Within the field of human-level intelligence, researchers are combining a variety of approaches toward the goals of human-like breadth, flexibility, and resilience for artificial intelligence systems. Each of the four papers in this special issue brings a diff…
The use of images of persons in a pornographic context (without the prior consent of the person concerned) on the internet is an increasingly widespread infringement. Unlawful activities carried out with the use of generated images and artificial intelligence…
The rule that the same dollar buys twice the computing power every 18 months is no longer true, but a new law—which we named for the CEO of Nvidia, the company now most emblematic of commercial AI—is in full effect
In recent years there have been great strides in artificial intelligence (AI), with games often serving as challenge problems, benchmarks, and milestones for progress. Poker has served for decades as such a challenge problem. Past successes in such benchmarks,…
What do people mean when they say “generative AI,” and why are these systems finding their way into practically every application imaginable? MIT AI experts help break down the ins and outs of this increasingly popular, and ubiquitous, technology.
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