The conservative estimate of the brain being in the Zetta-scale of computing is conservative because it is leaving out a long list of the brain's known features that further increase the computational complexity of the brain. Besides the known ones, we still have the unknown ones to discover in the future. The estimate does not include known things like (as listed by Tim Dettmers) multi-neurotransmitter vesicles (which can be thought of as multiple output channels or filters, just as an image has multiple colors); glial cells (besides having an extremely abnormal brain [about one-in-a-billion], Einstein also had an abnormally high number of glial cells. The latest research suggests that astrocytes especially have an active role in brain neuroplasticity and communication. All this complexity and additional capabilities for computation probably pushes a normal brain to Yotta-scale computing, or even more.

Moore's Law posits that the number of transistors on a microprocessor -- and therefore their computing power -- will double every two years. It's held true since Gordon Moore came up with it in 1965, but its imminent end has been predicted for years. As long ago as 2000, the MIT Technology Review raised a warning about the limits of how small and fast silicon technology can get. The thing is, Moore's Law isn't really a law. Moore didn't describe an immutable truth, like gravity or the conservation of momentum.

MIT's Computer Science and Artificial Intelligence Laboratory is the largest on-campus laboratory as measured by research scope and membership. More than 250 companies have been hatched through CSAIL, including Akamai, iRobot, 3Com, and Meraki. CSAIL's research activities are divided into seven areas of emphasis: Artificial…

IBM is bringing the power of artificial intelligence to the US Open's official event application this year, enabling enhanced features such as a cognitive concierge. The app makes use of IBM's Watson AI technology to create a cognitive concierge that can understand natural language and help guide users through the event. The app understands questions such as, "Where can I park?" and "Where is the bathroom?" "Watson and its cognitive capabilities allow us to help the US Tennis Association publish video with subtitles and transcripts faster, as well as offer an experience that is more humanlike, such as asking questions in natural language about dining options and transportation to the US Open," said John Kent, technology program manager at IBM Worldwide Sponsorships. Artificially intelligent The Watson-powered features mostly make use of three key APIs provided by IBM: the Natural Language API, the Speech-to-Text API and the Watson Visual Recognition API.

Artificial intelligence researchers at DeepMind have created some of the most realistic sounding human-like speech, using neural networks. Dubbed WaveNet, the AI promises significant improvements to computer-generated speech, and could eventually be used in digital personal assistants such as Siri, Cortana and Amazon's Alexa. The technology generates voices by sampling real human speech from both English and Mandarin speakers. In tests, the WaveNet generated speech was found to be more realistic than other forms of text-to-speech programs but still falling short of being truly convincing. In 500 blind tests, respondents were asked to judge sample sentences on a scale of one to five (five being most realistic).

In February Amigobulls reported that Alphabet (NSDQ:GOOGL) was using chips from startup Movidius for the development of next-generation Virtual Reality (VR) headsets. Movidius, a company specialized in low-power machine vision for connected devices, has been working with Alphabet to accelerate the adoption of Artificial Intelligence (AI) within mobile devices. Now, the machine vision startup is being acquired by Intel (NSDQ:INTC). "I'm excited to announce the planned acquisition of Movidius by Intel," said Movidius CEO Remi El-Ouazzane. "Movidius' mission is to give the power of sight to machines. As part of Intel, we'll remain focused on this mission, but with the technology and resources to innovate faster and execute at scale."

It's been a busy summer in the artificial intelligence (A.I.) space, but the most interesting A.I. opportunities may not come from the biggest names. You may have heard about Tesla's self-driving cars that made headlines twice, for vastly different reasons -- a fatal crash in Florida in which the driver was using the Autopilot software, and claims by a Missouri man that the feature drove him 20 miles to a hospital after he suffered a heart attack, saving his life. Or you might have heard of Apple spending 200 million to acquire machine learning and A.I. startup Turi. A smart drone defeated an experienced Air Force pilot in flight simulation tests. IBM's Watson diagnosed a 60-year-old woman's rare form of leukemia within 10 minutes, after doctors had been stumped for months.

Cops are already using computers to stop crimes before they happen, academics have warned. In a major piece of research called "Artificial Intelligence and life in 2030", researchers from Stanford University said "predictive policing" techniques would become commonplace in the next 15 years. Read more: Terrorists'actively seeking' to build deadly army of intelligent killer robots, UN warns The academics discussed the crime fighting implications of "machine learning", which allows computers to learn for themselves and then solve problems just like a human. This technique will have a major effect on transport, healthcare and education, potentially bringing massive benefits as well as putting millions of jobs at risk. But in the hands of cops, AI has the potential to have a massive impact on society by allowing law enforcement to have an "overbearing or pervasive" presence.

Google's parent company, Alphabet, is wasting no time helping to fund intelligent medical treatments. Just a month after it teamed up with GlaxoSmithKline (GSK) to pioneer so-called bioelectronic medicines capable of treating chronic disease, another of its umbrella companies, Verily Life Sciences (formerly Google Life Sciences), confirmed today that it has teamed up with French pharmaceutical company Sanofi to form a new joint venture that will help treat diabetes. In a joint press release, the two companies said they will call the new 500 million venture Onduo and will focus on enabling people with diabetes to "live full, healthy lives by developing comprehensive solutions that combine devices, software, medicine, and professional care to enable simple and intelligent disease management." Initially, Onduo will work on type 2 diabetes, helping patients make informed decisions about their health, whether that's managing their medication or suggesting ways to improve their overall quality of life. Reuters reports that the products on sale will include connected insulin pens and will also involve the launch of various online services.