Investor Ideas, Trading Ideas and Stocks to Watch : #AIEye Episode 435: GBT Technologies (OTCPK: $GTCH) Updating Epsilon IC Program for Advanced Manufacturing Nodes and BrainChip (ASX: BRN.AX) Validates Akida NSoC

Friday, September 18, 2020

#AIEye Episode 435: GBT Technologies (OTCPK: $GTCH) Updating Epsilon IC Program for Advanced Manufacturing Nodes and BrainChip (ASX: BRN.AX) Validates Akida NSoC

#AIEye Episode 435: GBT Technologies (OTCPK: $GTCH) Updating Epsilon IC Program for Advanced Manufacturing Nodes and BrainChip (ASX: BRN.AX) Validates Akida NSoC

Global #AI in #Fintech Market to Reach $9.125 Billion by 2027

Point Roberts WA, Vancouver BC – September 18, 2020 – Investorideas.com (www.investorideas.com), a global investor news source covering Artificial Intelligence (AI) brings you today’s edition of The AI Eye- watching stock news, deal tracker and advancements in artificial intelligence.

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Today’s Column- The AI Eye- Watching stock news, deal tracker and advancements in artificial intelligence

Stocks discussed: (OTCPINK:GTCH) (ASX:BRN)

GBT Technologies Inc. (OTCPINK:GTCH) along with its joint venture partner, Alpha EDA, LLC, is “in the process of updating its Epsilon, IC (integrated circuit) reliability clean-by-construction program, preparing for advanced manufacturing nodes.” GBT’s CTO Danny Rittman explained:

"Alpha and the Company took a decision that involves implementation of a new technology phenomenon, making our Epsilon reliability program capable of providing accurate analysis and correction. Alpha and the Company are implementing new algorithms and flows which we believe is an evolutionary step from the traditional FinFets [Fin Field-Effect Transistors]. This upcoming node will create major design challenges, yet it will provide significant higher performance, and lower power consumption. These are critical when it comes to advanced ICs. The new transistors will be more difficult to make, expensive, and the migration will be painful, but it'll be worth it. This will enable putting more devices on silicon, consuming less power and with much higher performance. Together, we are now planning to update our Epsilon software, ensuring on-the-fly reliability checks for upcoming future microchips. With these upcoming processes Alpha will have to take into account new physics challenges and phenomena in order to make these chips reliable and working at optimal conditions. Alpha plans to implement the Company’s machine learning technology as a key factor to study and analyze circuitries including their weak spots, taking into account physics aspects. Epsilon is expected to provide reliability alerts and corrections suggestions, early during the design phase. The Company’s AI engine will be trained with new reliability models, adapting to advanced processes, based on physics-of-failure mechanisms. It is intended to identify weak thermal spots, predicting potential reliability failures, check for Electromigration (EM), Self heat and voltage (IR) Drop phenomenon, providing the ultimate reliability-aware IC design environment. We believe in early design stage reliability analysis and predictions, early addressing and auto-correction, which will become a key player when designing modern chips, especially with the upcoming 5nm and 3nm manufacturing processes. In these nodes, chips can overheat, perform poorly or fail and manufacturers will need to be well prepared; the sooner, the better."

BrainChip Holdings Ltd (ASX:BRN) has validated its Akida Neuromorphic System-on-Chip (NSoC) design with functional silicon. BrainChip CEO Louis DiNardo explained:

"We have validated the functionality of the Akida silicon and performed significant testing. The devices received from the MPW will provide engineering samples and evaluation boards for our early access customers. Now our focus is on continued development of software and firmware drivers. We expect to produce a production mask set in the fourth quarter of 2020 and then move forward with volume production wafer fabrication, assembly and test operations. The BrainChip team is very proud of this significant achievement and milestone in our quest to introduce Akida and achieve commercial success with a revolutionary product that solves the real-world challenges of implementing artificial intelligence at the Edge."

Global AI in Fintech Market to Reach $9.125 Billion by 2027

A report published by Data Bridge Market Research finds that the global AI in Fintech market will reach $9.125 billion by 2027 with a compound annual growth rate (CAGR) of 65.7 percent in the forecast period 2020-2027. An excerpt from the report description outlines trends in the market’s growth:

Process automation within financial organizations is enhancing the market growth [as] artificial intelligence can perform even more complex automation processes.

Fintech is one of the fastest growing industries [in the world] owing [to] the penetration of internet users. Users are briskly moving to mobile devices to perform transactions, [thereby] growing [the] internet user base. As this will [increase risk] of cyber-attacks from fraud [leading to] the incorporation of artificial intelligence [gaining] growth over the forecast period. Increasing use of AI-enabled technologies solutions in the capital market is an opportunity for the AI in fintech market.

Sam Mowers, Investorideas.com

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