Nike Shares Slide as Margins Fall Again Amid China Slump and Costly Turnaround 
MetaX IPO Soars as China’s AI Chip Stocks Ignite Investor Frenzy 
Union-Aligned Investors Question Amazon, Walmart and Alphabet on Trump Immigration Policies 
Oracle Stock Slides After Blue Owl Exit Report, Company Says Michigan Data Center Talks Remain on Track 
Apple Opens iPhone to Alternative App Stores in Japan Under New Competition Law 
TikTok U.S. Deal Advances as ByteDance Signs Binding Joint Venture Agreement 
Apple Explores India for iPhone Chip Assembly as Manufacturing Push Accelerates 
Republicans Raise National Security Concerns Over Intel’s Testing of China-Linked Chipmaking Tools 
Citi Appoints Ryan Ellis as Head of Markets Sales for Australia and New Zealand 
ANZ New CEO Forgoes Bonus After Shareholders Reject Executive Pay Report 
Oracle Stock Surges After Hours on TikTok Deal Optimism and OpenAI Fundraising Buzz 
Micron Technology Forecasts Surge in Revenue and Earnings on AI-Driven Memory Demand 
Delta Air Lines President Glen Hauenstein to Retire, Leaving Legacy of Premium Strategy 
Amazon in Talks to Invest $10 Billion in OpenAI as AI Firm Eyes $1 Trillion IPO Valuation 
Blackstone Leads $400 Million Funding Round in Cyera at $9 Billion Valuation 
Shell M&A Chief Exits After BP Takeover Proposal Rejected 
Sanofi’s Efdoralprin Alfa Gains EMA Orphan Status for Rare Lung Disease 
CAMPBELL, Calif., Sept. 22, 2016 -- Who: Wave Computing, Chris Nichol, Chief Technology Officer will present “A Novel Dataflow Processing Technology for Deep Learning”
What: The Linley Processor Conference is a two-day event focusing on system
design issues.
When: Wednesday, September 28, 2016, 9:45am – (these times are tentative)
Conference: 9:00 a.m. – 4:30 p.m., Reception: 4:30 – 6:00 p.m.
Where: Hyatt Regency Santa Clara at 5101 Great America Parkway, Santa
Clara, Calif.
Registration: www.linleygroup.com/processor-conference
“Deep learning is at a crossroads,” says Chris Nichol, Wave Computing CTO. “Existing solutions continue to push conventional Von Neumann computing architectures to meet the increasing computing demands from deep learning workloads in the data centers. Even the general purpose GPUs as compute accelerators are struggling to meet the growing demands of deep learning. Wave’s dataflow architecture, which achieves an order of magnitude increase in performance over GPU based alternatives, promises to break through this performance wall to greatly expand the headroom for deep leaning computing.”
"Processors are becoming increasingly specialized to meet the needs of their target applications, including automotive, deep learning, networking, and IoT designs,” said Linley Gwennap, principal analyst and conference chairperson. “The Linley Processor Conference gathers leading processor vendors to deliver vetted presentations about their newest solutions. The conference also features several presentations on memory and IP cores used to develop customized processors and subsystems. These talks, plus keynote speeches and Q&A panels, give attendees the critical information they need to select the best processor technology for their designs.”
About Wave Computing, Inc.
Wave Computing was founded with the vision of delivering the world’s fastest and most energy efficient computers for the Deep Learning market. Wave is realizing this vision through the development of game-changing dataflow processing technology with unmatched compute-energy efficiency. Backed by Tier 1 VCs, an IP portfolio including over 50 U.S. patents, and a track record of innovation, Wave is dedicated to accelerating the application of Deep Learning in the datacenter and beyond. Wave is based in Campbell, California.
Contact Name: Jin H. Kim Title: Vice President, Marketing Direct: (408) 348-2681 Email: [email protected]
