Artificial Intelligence | News | Insights | AiThority
Bitcoin
$11,274.63
+141.77
(+1.27%)
Ethereum
$392.43
+13.06
(+3.44%)
Ripple
$0.31
+0.02
(+6.31%)
Litecoin
$58.50
+1.32
(+2.31%)
EOS
$3.05
+0.08
(+2.63%)
Cardano
$0.14
0
(+3.48%)
Stellar
$0.11
0
(+2.01%)
NEO
$12.56
+0.2
(+1.62%)
NEM
$0.06
0
(+1.23%)
DigitalCash
$87.91
+1.85
(+2.15%)
Tether
$1.00
0
(+0.01%)
Binance Coin
$21.96
+0.95
(+4.52%)
QTUM
$2.76
+0.29
(+11.95%)
Verge
$0.01
0
(0%)
Ontology
$0.70
-0
(-0.14%)
ZCash
$83.00
-1.36
(-1.61%)
Steem
$0.21
-0
(-0.44%)

LeapMind Inc. Announces “DeLTA-Lite,” Building Solution for Embedded Deep Learning Models without Programming, to Officially Support “Cyclone (R) V SoC”

0 2

Additional Service for FPGA and Quick Evaluation Available with “DE10-Nano” Board

LeapMind Inc., a leading deep learning solution provider for enterprises, announced on July 17 that “DeLTA-Lite,” a building solution for embedded deep learning models without programming, to officially support “Cyclone (R) V SoC” delivered by Intel Corporation of the United States. “DeLTA-Lite” started to provide an additional, FPGA-oriented service from July 2, 2018.

The said FPGA is loaded in “DeLTA-Kit,” a hardware kit for easily evaluating deep learning released on June 27, 2018.

[addthis tool=addthis_horizontal_follow_toolbox]

At the release of “DeLTA-Lite” in April 2018, the scope of its support was for CPUs and FPGAs, but now expanded its scope to “Cyclone (R) V SoC” as well to reach out to more clients. LeapMind is planning to diversify hardware support for “DeLTA-Lite” in the future.

Read More: Insurtech: The New AI Disruption Hitting Insurance

The kit released in June will enhance usability of “DeLTA-Lite” by enabling an additional feature where it generates downloadable binary and configuration files after training deep learning models. Those outputs can be executed on FPGAs.

Read More: California Becomes First State To Strengthen Consumer Data Privacy Protections

Leave A Reply

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.