News concerning Artificial Intelligence (AI) abounds again. The progress with Deep Learning techniques are quite remarkable with such demonstrations of self-driving cars, Watson on Jeopardy, and beating human Go players. This rate of progress has led some notable scientists and business people to warn about the potential dangers of AI as it approaches a human level. Exascale computers are being considered that would approach what many believe is this level. However, there are many questions yet unanswered on how the human brain works, and specifically the hard problem of consciousness with its integrated subjective experiences.
IBM's foray into autonomous car design focuses on people with disabilities. The technology company last year unveiled its Watson-powered self-driving shuttle, called Olli. Sachin Lulla, global vice president for automotive strategy and solutions leader at IBM, said it's an example of the company's focus on providing personalized experiences for those who may otherwise struggle to drive. "This was a big experiment for IBM," he said Wednesday at the CAR Management Briefing Seminars. "We wanted to build the world's most accessible vehicle."
We've written a lot about artificial intelligence (AI) here at Nanalyze, and just when we feel like there's not much more we can add to the topic, we find loads more interesting companies to write about. There has been a lot of talk lately about how machines just won't be able to capture that "human element" of emotions or "emotional intelligence" as it is often called. The act of building an emotional quotient or EQ as a layer on top of AI is being referred to as affective computing, a topic we covered before. The first step towards AI being able to demonstrate emotional intelligence, is that it needs to see emotions in our behaviour, hear our voices, and feel our anxieties. To do this, AI must be able to extract emotional cues or data from us through conventional means like eye tracking, galvanic skin response, voice and written word analysis, brain activity via EEG, facial mapping, and even gait analysis.
Cybercriminals are increasingly targeting UK workers files and data, and the Metropolitan Police have warned that "no one is safe". The FBI, Metropolitan Police, and security experts all agree that cyber ransoming has fast become one of UK's biggest economic crimes. Unpredictable, unstoppable and potentially fatal to a business, the rapid emergence of ransomware has become a threat to people across the nation. August Graham, the editor of the Sentinel, arrived at work one morning last summer to find a note pop up on one of the computer screens. It informed him that all the files on the firm's server had been encrypted and were being held ransom.
ARTIFICIAL intelligence is taking image recognition tips from a real expert: the human brain. Using fMRI brain activity scans as a training tool has boosted the ability of machine learning algorithms to recognise objects. The technique could improve face recognition systems or help autonomous vehicles better understand their surroundings. Machine learning is still a long way behind humans when it comes to tasks like object recognition, says David Cox at Harvard University. So his group trained algorithms to process images more like we do.