MAIN OFFICE:

8 St. Mary’s Street, Suite 613
Boston, MA 02215
(NOTE: Neurala is located in the same building as the Boston University Photonics Center.)

email

1-617-418-6161


PUBLIC TRANSIT

VIA SUBWAY

Take the Green line Westbound B train and exit at BU Central (beyond the Kenmore Square stop), which is at the corner of St. Mary’s Street. Walk up St. Mary’s street away from Marsh Plaza (and the Charles River) one half block. The Photonics Center will be on your left.

VIA BUS

Exit bus #57 at St. Mary’s Street. It runs along Commonwealth Avenue from Kenmore square, Brighton Avenue through Union Square, and Cambridge Street through Brighton Center.


DRIVING

FROM SOUTH OR WEST

Take the Mass Turnpike (I-90) East to Exit 18, Allston/Cambridge. Exit left. Bear right following signs towards Cambridge. Take an immediate right at the Doubletree Suites onto Storrow Drive (second set of lights, but both before crossing bridge). Exit Storrow Drive at the Kenmore exit. Follow Local Directions below.

FROM SOUTHEAST
Take I-93/Route 3 (Southeast Expressway) North to Boston. Exit onto Storrow Drive (Exit 26). Continue on Storrow Drive to the Kenmore exit. Then follow Local Directions below.

FROM NORTH
Take I-93 or Route 1 South to Boston. Exit onto Storrow Drive (Exit 26). Continue on Storrow Drive to the Kenmore exit. Follow Local Directions below.

LOCAL DIRECTIONS FROM THE KENMORE SQUARE EXIT OFF STORROW DRIVE
At the first set of traffic lights, turn right onto Beacon Street. At this point, the road forks; the right fork is Bay State Road, the left fork will take you into Kenmore Square. Take the left fork. When in Kenmore Square, bear right onto Commonwealth Avenue. At the fourth set of lights take a left onto Saint Mary’s Street. The Photonics Center is on your left, 8 Saint Mary’s Street, and our offices are on the 9th floor

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  • “Can be trained by the user to recognize new types of objects in a matter of seconds”
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  • “Neurala’s real value-proposition is its ability to execute machine learning frameworks, locally, with limited resources.”
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  • “Able to function without having to rely on the internet or communicate personal information to a third party”
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  • “Neurala is hardware agnostic, capable of scaling from low-end CPUs to high-end GPUs.”
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  • “Neurala’s ‘Anywhere Brain’ means that devices can learn on the job”
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  • “useful for mobile applications such as autonomous vehicles that may not always have access to fast networks.”
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