He is a serial entrepreneur and former management consultant. He holds an MBA and PhD in business. You may not know it yet, but you don't need to look too far to realize that generative AI is already a big part of our lives. Whether you've opted for a cartoon version of yourself as a profile picture, peeked at what you might look like at 90 (gulp), or your personal identity has been transformed into a synthetic version of you somewhere out there in the ether--using a synthetic data generator--that's generative AI doing its thing. And if the last example sounded like something out of a sci-fi movie, know that this is indeed already happening--and you'll be happy to learn why this is a good thing for you.

The idea that humans should merge with AI is very much in the air these days. It is offered both as a way for humans to avoid being outmoded by AI in the workplace, and as a path to superintelligence and immortality. For instance, Elon Musk recently commented that humans can escape being outmoded by AI by "having some sort of merger of biological intelligence and machine intelligence."1 To this end, he's founded a company, Neuralink. One of its first aims is to develop "neural lace," an injectable mesh that connects the brain directly to computers. Neural lace and other AI-based enhancements are supposed to allow data from your brain to travel wirelessly to one's digital devices or to the cloud, where massive computing power is available.

Thanks to recent advances in Deep Neural Networks (DNNs), face recognition systems have achieved high accuracy in classification of a large number of face images. However, recent works demonstrate that DNNs could be vulnerable to adversarial examples and raise concerns about robustness of face recognition systems. In particular adversarial examples that are not restricted to small perturbations could be more serious risks since conventional certified defenses might be ineffective against them. To shed light on the vulnerability to this type of adversarial examples, we propose a flexible and efficient method to generate unrestricted adversarial examples using image translation techniques. Our method enables us to translate a source image into any desired facial appearance with large perturbations so that target face recognition systems could be deceived. Through our experiments, we demonstrate that our method achieves about 90% and 30% attack success rates under a white- and black-box setting, respectively. We also illustrate that our translated images are perceptually realistic and maintain personal identity while the perturbations are large enough to bypass certified defenses.

One day a man, who had lost much of his long-term episodic memory, consulted the professor to ask him if there was any way he could help him regain the lost memories. During the previous year, this amnestic man had suffered a stroke in his right cerebral hemisphere. Being righthanded and left-hemisphere specialized for language, he was still able to speak, to read and write: and to understand what was said to him. Besides the usual difficulty in recalling proper names, his main problem involved large gaps in his memory for events that he participated in before the stroke, although he could remember events that occurred after the stroke. For example, many years before his stroke, he had received a high award for an exceptional achievement.

In this paper we discuss various problems, associated to temporal phenomena. These problems include persistence and change, the integration of objects and processes, and truth-makers for temporal propositions. We propose an approach which interprets persistence as a phenomenon emanating from the activity of the mind, and which, additionally, postulates that persistence, finally, rests on personal identity. The General Formal Ontology (GFO) is a top level ontology being developed at the University of Leipzig. Top level ontologies can be roughly divided into 3D-ontologies, and 4D-ontologies. GFO is the only top level ontology, used in applications, which is a 4D-ontology admitting additionally 3D objects. Objects and processes are integrated in a natural way.

The present privacy legislation continue to be drafted on the basis of the Strasburg Convention of 1981. The mere fact that present privacy laws are based on principles drafted 29 years ago, when the web did not exist, shows that privacy legislation need to make a quantum leap to be in line with the realities of to-day’s real life operating environment. If the status quo is kept, the law and its application shall face serious (and sometimes insurmountable) obstacles to its implementation, making compliance costly for private business, at the same time jeopardizing effectiveness of privacy protection for individuals. A new set of rules should be drafted and established, addressing the changed environment of information and communication technology, in order to allow free flow of information at the same time assuring due protection of personal data.

One day a man, who had lost Using an ordinary text-editing algorithm and a variety of much of his long-term episodic memory, consulted the professor changeable key words, the man could call up stories on his to ask him if there was any way he could help him personal computer, read them aloud, and thus attempt to regain the lost memories. Being righthanded text-editing method is trivial, but this is not an article and left-hemisphere specialized for language, he about method; it is about ethics.) The hope was that was still able to speak, to read and write: and to understand not only would the man now have some memory to think what was said to him. Besides the usual difficulty about and talk about but, more importantly, this repeated in recalling proper names, his main problem involved large daily practice at his own pace, with no one looking over gaps in his memory for events that he participated in before his shoulder, might help open up new access paths to his the stroke, although he could remember events that own memory of these events, filling them in and modifying occurred after the stroke. He could not, however, remember the award out the plan.