و سلوك وخصائص معينة تتسم بها البرامج الحاسوبية تجعلها تحاكي القدرات الذهنية البشرية وأنماط عملها. من أهم هذه الخاصيات القدرة على التعلم والاستنتاج ورد الفعل على أوضاع لم تبرمج في الآلة. إلا أنَّ هذا المصطلح جدلي نظراً لعدم توفر تعريف محدد للذكاء. يستخدم أسيمو أجهزة الاستشعار وخوارزميات ذكية لتجنب العقبات والتحرك على الدرج. الذكاء الاصطناعي فرع من علم الحاسوب. تُعرِّف الكثير من المؤلفات الذكاء الاصطناعي على أنه "دراسة وتصميم العملاء الأذكياء"، والعميل الذكي هو نظام يستوعب بيئته ويتخذ المواقف التي تزيد من فرصته في النجاح في تحقيق مهمته أو مهمة فريقه.[1] صاغ عالم الحاسوب جون مكارثي هذا المصطلح بالأساس في عام 1956،[2] وعرَّفه بنفسه بأنه "علم وهندسة صنع الآلات الذكية".[3]

1. Insights into the new computing model
DEEP LEARNING TOP 5
October 6, 2017

2. DEEP LEARNING IS THE FASTEST-GROWING
FIELD IN ARTIFICIAL INTELLIGENCE (AI)

3. AS AI TECHNOLOGIES CONTINUE TO IMPROVE, MORE
COMPANIES ADOPT DEEP LEARNING TO ACCELERATE
THEIR BUSINESSES…

4. TOP 5
1. Gartner releases the top 10 strategic technology trends for 2018
2. Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure
3. Chemistry and physics Nobel Prizes awarded to teams supported by GPUs
4. MIT uses deep learning to help guide decisions in ICU
5. Portfolio management firms are using AI to seek alpha

5. GARTNER RELEASES THE TOP 10 STRATEGIC TECH TRENDS FOR 2018
Gartner, Inc. announced its top strategic tech trends and
predictions at the 2017 Gartner Symposium this week.
“The first three strategic tech trends explore how AI and
machine learning are seeping into virtually everything and
represent a major battleground for technology providers over
the next five years.
• AI Foundation: Creating systems that learn, adapt, and
potentially act autonomously
• Intelligent Apps and Analytics: Virtually every app,
application and service will incorporate some level of
AI
• Intelligent Things: Physical things that go beyond the
execution of rigid programming models to exploit AI…
and interact more naturally with their surroundings and
with people”
1
Source: https://www.gartner.com/newsroom/id/3812063
READ ARTICLE

6. ORACLE ADDS GPU ACCELERATED COMPUTING TO ORACLE CLOUD
INFRASTRUCTURE
Oracle announced at Oracle OpenWorld this week it is
now offering NVIDIA’s P100 GPU instances in its public
cloud, with plans to add the more powerful V100 GPUs in
the near future.
“This is the first time Oracle has offered access to GPU
acceleration, reflecting an industry-wide move to provide
access to cloud hardware optimized for artificial
intelligence and machine learning.
“The new instances, known as the X7, can also be used
for more traditional HPC application, like genomics
analysis or physics simulations, but it’s pretty clear that
Oracle believes its major opportunity with these GPU-
accelerated servers is in the AI realm.”
2
Source: https://www.top500.org/news/oracle-jumpstarts-gpu-computing-cloud-business/
READ ARTICLE

7. CHEMISTRY & PHYSICS NOBEL PRIZES AWARDED TO TEAMS
SUPPORTED BY GPUS
It’s not every day your work assists someone who wins a
Nobel Prize. This week GPU computing did it twice.
On Tuesday, an international team of chemists —
Jacques Dubochet, Joachim Frank and Richard
Henderson — won the prize for their work with
cryogenic electron microscopy, which allows scientists
to see the detailed protein structures that drive the
inner workings of cells.
On Monday, a trio of American physicists — Rainer
Weiss, Barry Barish and Kip Thorne — won science’s
most prestigious honor for detecting gravitational
waves, a phenomenon Albert Einstein predicted more
than a century ago.
3
Source: https://blogs.nvidia.com/blog/2017/10/04/nobel-physics-chemistry-gpu/
READ ARTICLE

8. MIT USES DEEP LEARNING TO HELP GUIDE DECISIONS IN ICU
If it wasn’t for a mysterious hot pepper allergy,
Harini Suresh might never have found a way to
improve patient care in intensive care units:
“The ICU is a high-stakes, high-demand
environment, and doctors can spend only
a limited amount of time with each
patient. When doctors are dealing with
many data sources and data types,
computational tools can make a
difference.”
4
Source: https://blogs.nvidia.com/blog/2017/10/02/the-ai-will-icu-now-deep-learning-helps-guide-decisions-in-intensive-care/
READ ARTICLE

9. PORTFOLIO MANAGEMENT FIRMS ARE USING AI TO SEEK ALPHA
Beating the market is hard. Notoriously hard. A large
majority of professional portfolio managers, after
deducting their fees, don’t do it; now, there’s
pressure on active portfolio management firms to up
their game, and they’re increasingly using AI to do it.
“In the past, hedge funds would dispatch people to
retailers’ parking lots to count cars — the simple
idea being more cars predicts more sales. Now
imagine you could use deep learning to extract in
near real time vehicle or ship locations from
satellite or drone data on a massive scale.”
5
Source: https://blogs.nvidia.com/blog/2017/10/03/quant-investing-with-ai/
READ BLOG

10. NVIDIA ANNOUNCES 5 BIG AI
INNOVATIONS AT GTC BEIJING
SEE THE HIGHLIGHTS
“Our vision is to enable every researcher everywhere to enable AI for
the goodness of mankind. We believe we now have the fundamental
pillars in place to invent the next era of artificial intelligence, the
era of autonomous machines.” – Jensen Huang, CEO of NVIDIA