08.05.2020 Views

BLOCK Issue 4

The Block is a bi-annual publication which illuminates the cutting-edge sectors of AI, blockchain, crypto and emerging tech, printed in both English and Chinese and delivered to leading brands across the global industry. View our latest issue of the Block below.

The Block is a bi-annual publication which illuminates the cutting-edge sectors of AI, blockchain, crypto and emerging tech, printed in both English and Chinese and delivered to leading brands across the global industry. View our latest issue of the Block below.

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

WE ARE POSSIBLY IN THE MOST DIFFICULT BUSINESS CLIMATE SINCE THE GREAT

DEPRESSION. AS COVID-19 SWEEPS ACROSS THE GLOBE, TURING INDUSTRIES IS POISED

TO KICK OFF A NEW WORLD OF TECHNOLOGICAL REVOLUTION. FROM THE TESLA

GIGA SHANGHAI TO THE TURING SEMICONDUCTOR TERA-FAB, THE EAST IS QUIETLY

BREWING THE WORLD’S NEXT CENTER OF INNOVATION. STEVE CHAO, CHIEF OF

TURING INDUSTRIES, GIVES AN EXCLUSIVE INTERVIEW FOR THIS ISSUE’S COVER STORY.

WHAT EXACTLY IS TURING INDUSTRIES?

I founded the Turing brand back in 2015 and experimented with a

consumer electronics project called Turing Phone. Having gone

through almost three generations of the security-based device,

I turned my attention towards the core underlying technology,

that is the computational chips and software programs which

enable it to be useful. When I say useful, I’m really referring to the

artificial intelligence functions nowadays common amongst those

components powering cameras, maps, music, video, and payments

apps. The focus of Turing Industries has been exactly that and we’ve

been working at the forefront of AI computing research ever since.

PICKING THE NEUROMORPHIC BRAIN

Turing Industries has been working in the neuromorphic

computing space since 2018. We believe the holy grail of achieving

human brain-like neuromorphic computation lies within Inmemory

computing. That is to design a new inference architecture

that emphasizes memory bandwidth and locality by moving less

data faster and with much lower power. To achieve the best results

in artificial intelligence, machine-learning engines must figure out

the fastest inference with the lowest power possible. In-memory

computing works by storing weights in a memory and getting a

multiply-accumulate by accessing the memory with the neuron

activations. This is essentially moving into the analog domain by

utilising the memory cells for analog signals rather than digital

ones in order to drive the power down. The inference then happens

in the memory by taking digital data and turning it into analog

values to drive the memories before it uses analog bit-line output

to be converted back into a digital format. In short, it is a way of

removing the data movement between the CPU and memory.

Therefore, I called it Artificial Memory Intelligence (A.M.I.).

Among the most exciting aspects of neuromorphic computing

is the notion of speed advancement for both mobile and

edge computing tasks, as well as the possibility of improving

blockchain consensus algorithms. Some of the most promising

research and development in neuromorphic computing involves

redesign of semiconductor chips; prominent players such as IBM

TrueNorth, Intel Loihi, and Manchester University’s SPiNNaker

project have all experimented with a brain-like computing flow

which defies the legacy von Neumann architecture. Turing’s

approach to a non-von Neumann model is to focus on a nonvolatile

memory-based computation chip and integrating it with

an ASIC processor to form a hybrid semiconductor chip.

“ We believe the holy

grail of achieving human

brain-like neuromorphic

computation lies within

In-memory computing ”

SHANGHAI RISING: CHINA’S SILICON COAST

To achieve Artificial Memory Intelligence we plan to build a terafab

producing non-volatile memory technologies for memorybased

neuromorphic computing needs. The first country which

came to mind was China; the country has been beefing up its

semiconductor capabilities over the last decade or so. Turing

Industries hand-picked a few regions in China before it landed in

a special municipality, namely Shanghai. Shanghai, a city with a

population just shy of 25 million, opened up to Turing Industries and

we were brought to the attention of government officials managing

the Shanghai Lin-gang Special Area within the Shanghai Pilot Free

Trade Zone. The area is a well-established industrial zone with

established semiconductor companies and the most famous recent

addition to the area - the Tesla Giga Shanghai factory. The coastal

Shanghai Pilot Free Trade Zone Lin-gang Special Area may be too

long a name for the average person to remember, hence I coined

the term “Silicon Coast” describing the area’s future advancement

potential in semiconductors and investment opportunities.

16 | #AIBCsummit Issue 4

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!