11th Global Summit on Artificial Intelligence and Neural Networks

As artificial intelligence (AI) and machine learning (ML) gain traction in the cybersecurity business, fears about the future of cybersecurity jobs mount. Many people are concerned that AI will eventually replace human cybersecurity specialists; however this is not totally accurate and is based on many fallacies. One of the most common misconceptions about AI is that it can think and learn like a human, but in reality, AI is still constrained by the data on which it is educated. While AI is capable of analyzing enormous volumes of data and identifying patterns, it lacks human intuition, creativity, and decision-making abilities. Because threats and attacks can be complicated and subtle, cybersecurity requires a human touch. Cybersecurity specialists, unlike AI, can think outside the box, employ critical thinking abilities, and devise novel solutions. Furthermore, AI systems may be incapable of detecting novel and emerging risks. Furthermore, AI may be unable to recognize the context o

  Ambient sensing is a type of sensing technology that collects information about one's surroundings. This data can be utilized for a variety of purposes, including analyzing the environment, informing users, and controlling devices. To put it another way, doesn't any sort of sensing technology qualify as 'ambient sensing'? The idea is to think about ambient sensing as a technology application rather than a specific sort of gear or software. Smart homes, for example, are outfitted with sound sensors that react to precise commands. This is not ambient sensing because it does not get insights from the surrounding general conditions. According to this conception, ' non-ambient ' sensing is 'direct sensing' — sensing that is calibrated to distinct, discrete inputs. The goal is to have a complete collection of contextual information from which to draw and interpret insights. The building is considered to have ambient intelligence when action is conducted aut

AI Language Models Will Achieve Human Intelligence : According to futurist and engineer Ray Kurzweil, artificial intelligence will reach human-level capabilities by 2030. This will be decided when AI is capable of passing a legitimate Turing test. Collaboration between AI and humans will skyrocket across all professions: Artificial intelligence (AI) will be an essential component of day-to-day business operations by 2030, supporting individuals in their creative activities, generating new ideas, and tackling previously unsolvable problems. Collaboration with AI will be required in some circumstances. There are already good AI technologies used in creative professions, for example: VizCom generates rendered copies of sketches you supply it with. ArtBreeder generates AI-generated pictures from the photographs you supply it. WordTune rearranges and optimises the phrases you provide it. After you provide it enough speech data, Descript can duplicate your voice using text you offer it. In