Tinish Bhattacharya

[TechXplore @TechXplore_com]

#Specialized hardware utilizing in-memory computing accelerates high-order optimization problem-solving, offering exponential speedup by computing gradients in native high-order space without pre-processing. @NatureComms https://t.co/fFIkOuuo3j https://t.co/joCp8JqpG6

[The Robert Mehrabian College of Engineering @UCSBengineering]

Tinish Bhattacharya, a 6th year PhD student in the lab of @ucsbece professor Dmitri Strukov, worked with industry collaborators to develop specialized function gradient computing hardware to accelerate the rate at which complex high-order optimization problems can be solved.🖥️

[Tinish Bhattacharya @tinish12]

@ucsantabarbara
@UCSBengineering
@ucsbece

[Tinish Bhattacharya @tinish12]

Our recent research on #hardware for high-order #IsingMachine out on @NaturePortfolio @NatureComms
Thanks to my advisor Dmitri Strukov and co-authors George, @gpedretti90 @JohnPStrachan et al.

#IsingModel #PUBO #Memristor #RRAM #Crossbar #Satisfiability
https://t.co/txlR4iiE61

[V. Ramgopal Rao, Ph.D. @ramgopal_rao]

Congratulations to Prof. Manan Suri, IIT Delhi for this outstanding achievement.

https://t.co/JACQwwX7WX

[Dr. Manan Suri @manansuri2002]

Our paper on CBRAM accepted for presentation at @IEEEorg NVMSA 2017, Taiwan. Great job @tinish12 & @Supriyo. @innovation_iitd