Watson, IBM's supercomputer, is most well known for beating two quizmasters on popular quiz show Jeopardy! in 2011. The impressive artificially intelligent software was developed to advance machine learning capabilities, including natural language processing, reasoning and knowledge retrieval. Watson can access information from an endless list of sources, from literature to databases. As AI continues to attract investment and R&D, it will impact our lives in so many ways. It's not surprising, then, that Watson has rather expanded its repertoire since its Jeopardy!
Sean Captain 09.29.16 7:30 AM The Terminator isn't arriving anytime soon, but concern is growing that artificial intelligence is already so pervasive in society--and getting more so all the time--that there needs to be more focus on how it's being used and potentially misused (even if by accident). Aside from futuristic killer robots, there are already real dangers ranging from faulty autonomous cars to algorithms used in hiring or recruiting that have an inadvertent bias against women or ... IBM recently released new details about the efficiency of its TrueNorth processors, which sport a fundamentally novel design that cribs from the structure of the brain. Rather than line up billions of digital transistors all in a line, TrueNorth chips have a million computer'neurons' that work in parallel across 256 million inter-neuron connections ('synapses'). In recent months, cancer and artificial intelligence (AI) have long been associated together. Continuously proving its undeniable influence to humanity, it's not quite surprising to learn how machine learning could be of help in the field of precision medicine, particularly in cancer diagnosis and treatment.
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.
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.
Here's How Google Will Use A.I. to Help Fight Cancer How UC Berkeley's New Center Could Prevent a Military A.I. Apocalypse Beauty.AI App the 1st international beauty contest judged by AI A treasure hunter went missing in the Rocky Mountains, and a computer algorithm found him ... Drive.ai wants to give self-driving cars more brainpower, personality