IBM and MIT today announced that IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT. The lab will carry out fundamental artificial intelligence (AI) research and seek to propel scientific breakthroughs that unlock the potential of AI.
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- IBM and the USAF announced on Friday that the machine will run on an array of 64 TrueNorth Neurosynaptic chips.
- The TrueNorth chips are wired together like, and operate in a similar fashion to, the synapses within a biological brain.
- That is, these chips don’t require a clock, as conventional CPUs do, to function.VIDEOWhat’s more, because of the distributed nature of the system, even if one core fails, the rest of the array will continue to work.
- This 64-chip array will contain the processing equivalent of 64 million neurons and 16 billion synapses, yet absolutely sips energy — each processor consumes just 10 watts of electricity.Like other neural networks, this system will be put to use in pattern recognition and sensory processing roles.
- The Air Force wants to combine the TrueNorth’s ability to convert multiple data feeds — whether it’s audio, video or text — into machine readable symbols with a conventional supercomputer’s ability to crunch data.This isn’t the first time that IBM’s neural chip system has been integrated into cutting-edge technology.
Supercomputers today are capable of performing incredible feats, from accurately predicting the weather to uncovering insights into climate change, but they sti…
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- The imaging tech will first be used to diagnose patients with aortic stenosis, where the heart’s aortic valve narrows and constricts blood flow.
- Watson will combine heart imagery with medical records to spot patients who might need follow-up treatments.
- The approach will eventually expand to cover heart attacks, heart muscle disease, deep vein thrombosis and valve disorders.IBM won’t make the solution widely available to health care facilities until later in the year, but it’s hoping that the impact will be worth the wait.
- In a chat with Mashable, the company’s Anne Le Grand says that Watson promises to improve both the quality and consistency of diagnoses.
- Both patients and doctors won’t have to worry so much about issues going unaddressed until they become urgent.
IBM’s Watson technology has helped doctors before, but usually by poring through databases before offering its advice. Now, it’s ready to look at the patients t…
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- Guru leads the Cognitive Horizons Network, a set of research collaborations with leading institutions.
- Guruduth sat down with IVY to share his insights and advice!
- Dr. Guru Banavar is Vice President and Chief Science Officer for cognitive computing at IBM. He is responsible for advancing the next generation of cognitive technologies and solutions with IBM’s global scientific ecosystem, including academia, government agencies and other partners.
- IBM’s Chief Science Officer on the #1 Skill We Need for the Future
- Most recently, Guru led the team responsible for creating new AI technologies and systems in the family of IBM Watson, designed to augment human expertise in all industries, from healthcare to financial services to education.
Dr. Guru Banavar is Vice President and Chief Science Officer for cognitive computing at IBM. He is responsible for advancing the next generation of cognitive technologies…
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- BMW signs on to develop in-car AI and IoT services with IBM’s Watson
- (And as a matter of fact, I’d say IBM is not actually all that keen on full-out autonomous cars. “
- IBM demos an employee hack for gathering live video data via drone
- Description IBM Watson, a cognitive system that enables a new partnership between people and computers that enhances and scales human expertise.
- To be clear, although there are a lot of efforts underway right now in the industry to built autonomous (self-driving) cars, this is not exactly about that.
As BMW continues to weld a position for itself in the next generation of connected and autonomous car technology, it’s signed up for one more partnership..
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- Python and R were included as they are known to be popular for machine learning and data science.
- All major tech giants are investing heavily in machine learning and data science to improve their products.
- To work in the field, you need to learn some particular programming languages and skills.
- We also see that in the past couple of years, there’s a sharp increase in the popularity of these languages in machine learning and data science’s context.
- Apart from the languages mentioned above, Scala and Julia were also included.
Short Bytes: In recent times, the demand for machine learning and data science experts has witnessed an exponential growth. So, what programming languages should one learn to land a machine learning or data science job? The answer lies in the languages like Python, R, and Java.
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- Watson’s machine learning capabilities offer new opportunities for vehicles to learn about the preferences, needs, and driving habits of their drivers over time,” the company says, which means it’ll also help with “customizing the driving experience and improving levels of comfort and safety.”
- All of the improvements would help make cars more enjoyable while the world waits for autonomous vehicles to debut.
- IBM partnered with Pfizer in December to find new cancer drugs because Watson can read more than any medical researcher – it can almost handle questions about a car’s machinery.
- The companies said they want to explore the potential of Watson “personalizing the driving experience and creating more intuitive driver support systems for cars of the future.”
- Combine that with the technological “brain” for trivia that let Watson beat humans at Jeopardy!
IBM and BMW are using the famous Watson A.I. to develop smart cars that can interact with their drivers much more, KITT from ‘Nightrider.
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