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.
Robotics is already changing how we live, shop, invest, travel, and soon, robo-caregivers will transform how we provide care. Advances in AI will deliver extraordinarily innovative services in support of our loved ones. However, the use of robots to care for our children, elderly and disabled will also give rise to some very human questions.
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.
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.
Pinterest has updated its search policy in an effort to stifle the spread of disinformation campaigns from the controversial anti vax movement. The move follows a spike in vaccine-preventable diseases around the world, fueled by anti-vaccine propaganda promoting that has plagued social media platforms in recent years. Refusal to immunise children on the part of so-called anti-vaxxers comes from the misguided belief in scientifically disproven claims that vaccinations are harmful and can cause autism. Pinterest's update means users can still post vaccine-related content to their pages but searches related to vaccinations will no longer return results. "If a search returns largely polluted results that violate our policies, we will stop serving the query, either temporarily," a spokesperson for Pinterest said.