13 min

Episode 185: Predictions for Computer Vision & Image Processing with GSI Technology Women in AI

    • Technology

This week's podcast is sponsored by our partner GSI Technology, and our guest this week is their Lead AI Scientist, Daphna Idelson. Daphna has a Computer Engineering degree from the Technion Israel Institute of Technology and extensive industry experience in specialized video processing, deep learning algorithms, CNN, distance metric learning, and large-scale similarity search.

At GSI Technology, Daphna applies her expertise to ground-breaking power/performance solutions with the Gemini Technology and Associative Processing Unit.

Topics explored in the podcast include:
• Can you explain a bit about your current research focus?
• Can you give an overview of your recent findings in accelerating Similarity Search?
• What are the next steps for this research area?
• Can you share an overview of your recent experience in taking part in a Radar Spectrogram Classification challenge hosted by the Israeli Ministry of Defense R&D directorate?
• What are your predictions for advancements in CV and Image Processing?
• What prompted you to begin a career in AI?
• What advice would you give to anyone looking to get into a career in AI?
• What challenges have you faced as a woman working in AI?
• Have role models been a factor in your career?

Read the transcript here.

Founded in 1995, GSI Technology, Inc. is a leading provider of semiconductor memory solutions. GSI's resources are focused on new products that leverage the strengths of its market-leading SRAM business. The Company recently launched radiation-hardened memory products for extreme environments and the Gemini APU, a memory-centric associative processing unit designed to deliver performance advantages for diverse AI applications. The APU's architecture features massive parallel data processing with two million-bit processors per chip. The massive in-memory processing reduces computation time from minutes to milliseconds, even nanoseconds, while significantly reducing power consumption with a scalable format. Headquartered in Sunnyvale, California, GSI Technology has 172 employees, 114 engineers, and 92 granted patents.

Learn more about GSI Technology and their advancements via https://www.gsitechnology.com/APU.

This week's podcast is sponsored by our partner GSI Technology, and our guest this week is their Lead AI Scientist, Daphna Idelson. Daphna has a Computer Engineering degree from the Technion Israel Institute of Technology and extensive industry experience in specialized video processing, deep learning algorithms, CNN, distance metric learning, and large-scale similarity search.

At GSI Technology, Daphna applies her expertise to ground-breaking power/performance solutions with the Gemini Technology and Associative Processing Unit.

Topics explored in the podcast include:
• Can you explain a bit about your current research focus?
• Can you give an overview of your recent findings in accelerating Similarity Search?
• What are the next steps for this research area?
• Can you share an overview of your recent experience in taking part in a Radar Spectrogram Classification challenge hosted by the Israeli Ministry of Defense R&D directorate?
• What are your predictions for advancements in CV and Image Processing?
• What prompted you to begin a career in AI?
• What advice would you give to anyone looking to get into a career in AI?
• What challenges have you faced as a woman working in AI?
• Have role models been a factor in your career?

Read the transcript here.

Founded in 1995, GSI Technology, Inc. is a leading provider of semiconductor memory solutions. GSI's resources are focused on new products that leverage the strengths of its market-leading SRAM business. The Company recently launched radiation-hardened memory products for extreme environments and the Gemini APU, a memory-centric associative processing unit designed to deliver performance advantages for diverse AI applications. The APU's architecture features massive parallel data processing with two million-bit processors per chip. The massive in-memory processing reduces computation time from minutes to milliseconds, even nanoseconds, while significantly reducing power consumption with a scalable format. Headquartered in Sunnyvale, California, GSI Technology has 172 employees, 114 engineers, and 92 granted patents.

Learn more about GSI Technology and their advancements via https://www.gsitechnology.com/APU.

13 min

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