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Insights into the new computing model
DEEP LEARNING TOP 5
October 6, 2017
DEEP LEARNING IS THE FASTEST-GROWING
FIELD IN ARTIFICIAL INTELLIGENCE (AI)
AS AI TECHNOLOGIES CONTINUE TO IMPROVE, MORE
COMPANIES ADOPT DEEP LEARNING TO ACCELERATE
THEIR BUSINESSES…
TOP 5
1. Gartner releases the top 10 strategic technology trends for 2018
2. Oracle adds GPU Accelerated Computing to Orac...
GARTNER RELEASES THE TOP 10 STRATEGIC TECH TRENDS FOR 2018
Gartner, Inc. announced its top strategic tech trends and
predi...
ORACLE ADDS GPU ACCELERATED COMPUTING TO ORACLE CLOUD
INFRASTRUCTURE
Oracle announced at Oracle OpenWorld this week it is
...
CHEMISTRY & PHYSICS NOBEL PRIZES AWARDED TO TEAMS
SUPPORTED BY GPUS
It’s not every day your work assists someone who wins ...
MIT USES DEEP LEARNING TO HELP GUIDE DECISIONS IN ICU
If it wasn’t for a mysterious hot pepper allergy,
Harini Suresh migh...
PORTFOLIO MANAGEMENT FIRMS ARE USING AI TO SEEK ALPHA
Beating the market is hard. Notoriously hard. A large
majority of pr...
NVIDIA ANNOUNCES 5 BIG AI
INNOVATIONS AT GTC BEIJING
SEE THE HIGHLIGHTS
“Our vision is to enable every researcher everywhe...
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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/
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