AI, Semiconductor Cooperation Spans 35 Countries
AI, Semiconductor Cooperation Spans 35 Countries
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Key Points
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At AICAS 2026, 330 papers were submitted and 131 papers from authors in 35 countries and territories were selected after peer review, representing a 39.7% acceptance rate; the selected research will be published in IEEE proceedings and indexed in Web of Science and Scopus.
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AICAS 2026 included four invited presentations from senior figures in AI and semiconductor research, including leaders from IEEE CAS, the National University of Singapore, Cadence Design Systems and FPT Smart Cloud, as well as 26 thematic sessions, two training sessions and two workshops.
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India’s semiconductor strategy also reflects an expanding government role in building national ecosystems: Vikram Misri cited the U.S. CHIPS Act, China’s domestic investment and Europe’s goal of securing one-fifth of global semiconductor manufacturing capacity as examples of state-backed efforts.
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Pennsylvania Gov. Josh Shapiro said he is not an AI “doomer,” but argued that public concerns about the technology are genuine and should not be dismissed as a “hoax,” while pointing to Pennsylvania’s guardrail efforts as a model for state action.
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Experts cautioned that open-source AI access alone may leave developing countries dependent on external capabilities, since software openness does not guarantee autonomy across the broader technology ecosystem; they recommended pairing access with domestic coding, research and skills programs.
Cooperation on artificial intelligence and semiconductors is spreading across 35 countries, with researchers and companies joining forces to make AI technology cheaper and more practical. Times of India reported that the US and China have agreed to establish a formal dialogue on AI ahead of a Trump-Xi summit, marking a shift toward managed competition. Meanwhile, the AICAS 2026 conference in Vietnam brought together experts to examine AI circuits, computing architecture and energy-efficient hardware—recognition that no single nation can build the entire AI supply chain alone.
Conference Unites 35 Nations on AI Hardware Research
The AICAS 2026 conference in Vietnam showcased unprecedented global collaboration on semiconductor and AI technology. Researchers submitted 330 papers, and 131 papers from 35 countries passed peer review—a 39.7% acceptance rate. The selected research will be published in IEEE proceedings and indexed in major databases like Web of Science and Scopus. Four invited presentations came from senior leaders at IEEE CAS, the National University of Singapore, Cadence Design Systems and FPT Smart Cloud.
The conference included 26 thematic sessions, two training workshops and two specialized sessions. Topics ranged from AI circuits to edge systems and power-efficient hardware. The breadth of participation reflects growing recognition that cross-border research is essential to make AI more affordable and practical for developing economies.
India Pushes Sovereign Chip Strategy With Global Partnerships
India's semiconductor strategy balances self-reliance with trusted international cooperation. Times of India noted that Vikram Misri pointed to the US CHIPS Act, China's domestic investments and Europe's goal of controlling one-fifth of global chip manufacturing as proof that state backing is essential. India recognizes that no country can manufacture an entire chip independently and that diversified supply chains reduce risk.
The Indian approach aims to build domestic capabilities while avoiding isolation. Government investment in semiconductor ecosystems mirrors efforts by major powers to reduce dependence on rival nations and secure critical technology supplies.
Open-Source AI Alone Won't Close the Technology Gap
Experts backing President Xi Jinping's BRICS AI initiatives say open-source collaboration could help developing nations catch up, but only with safeguards and support. Open-source software access alone does not guarantee autonomy. Countries need paired investments in domestic coding, research programs and technical skills development to truly benefit.
Without this broader ecosystem support, developing economies risk staying dependent on external capabilities and expertise. The experts warn that software openness must be paired with cybersecurity safeguards and hands-on technical support to build lasting domestic strength.
Shapiro Calls for National and International AI Rules
Pennsylvania Governor Josh Shapiro urged national and international regulation of AI, arguing that state-level guardrails cannot address major risks like misuse and loss of human control. He rejected the label of AI "doomer," saying public concerns about the technology are genuine and should not be dismissed as a "hoax."
Shapiro pointed to Pennsylvania's guardrail efforts as a model for state action while criticizing President Donald Trump and congressional Republicans for failing to act on AI regulation at the federal level. He believes coordinated national policy is necessary to manage AI risks effectively.
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