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Richard Platt
onto Internet of Things - Technology focus June 19, 2025 9:37 PM
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Startup EnCharge aims to solve the analog compute problem with metal-layer capacitors that help boost energy efficiency and performance.
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Nik Peachey's curator insight,
January 8, 5:31 AM
The Oxford Rubric™ is proposed as a normative framework rather than a technical standard. Its purpose is not to rank AI systems, but to assess appropriateness of use in educational contexts. The framework is intentionally technology‑agnostic and future‑proofed, focusing on enduring educational values rather than transient tools.
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On the provider side, 58% of organizations polled are using AI for administrative tasks, such as medical coding, billing and scheduling, while 44% are deploying it for clinical decision support and imaging analysis. Via Lionel Reichardt / le Pharmageek
Richard Platt's insight:
On the provider side, 58% of organizations polled are using AI for administrative tasks, such as medical coding, billing and scheduling, while 44% are deploying it for clinical decision support and imaging analysis
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One in four UK patients (24%) are turning to AI and social media for help in understanding their health, according to survey results. Via Lionel Reichardt / le Pharmageek
Richard Platt's insight:
One in four UK patients (24%) are turning to AI and social media for help in understanding their health, according to survey results.
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new findings from athenahealth’s athenaInstitute
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A computerized AI coaching support model lets pre-service teachers engage in scalable, self-guided reflection for teacher preparation. Via EDTECH@UTRGV, Nik Peachey
Richard Platt's insight:
A computerized AI coaching support model enables pre-service teachers to engage in scalable, self-guided reflection for teacher preparation. It is worth having a look at, as it will likely lead to more improvements for Teachers and Instructors.
EDTECH@UTRGV's curator insight,
July 18, 2025 12:44 PM
"An AI-powered video coaching platform enables pre-service teachers to independently reflect on their teaching, receive time-stamped feedback, and improve their practice by aligning lessons with self-identified goals—fostering scalable, self-guided professional growth."
Nik Peachey's curator insight,
July 19, 2025 2:39 AM
Just checking this out. The demo looks impressive. 
Peter Lakeman's curator insight,
July 19, 2025 2:54 AM
In de VS wordt AI ingezet om toekomstige docenten te begeleiden met directe feedback, gesimuleerde praktijksituaties en reflectievragen. Doel: betere voorberetiding, meer gelijkheid én opschaling van lerarenopleidingen.
� Interessant voorbeeld van hoe AI niet vervangt, maar versterkt.
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Richard Platt's insight:
The US and Europe both need Rare Earth Minerals for their industrial bases, for the transition to green technology, and for their defence. But China controls the majority of the supply, from mining all the way through to the end-use stage. Beijing has begun to wield this strategic influence, raising questions about America and Europe's need and ability, and in this case, for the EU to find its own critical minerals. In this episode of Business Beyond, this video looks at how China conquered the market and asks if there is any way Europe can develop strategic independence.
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Richard Platt's insight:
In 2025, semiconductors are not just components in consumer devices – they are the essential building blocks for the technologies shaping America’s future. From artificial intelligence and quantum computing to advanced communications networks and defense systems, chips are at the heart of the competition for global technology leadership in the 21st century.American engineers invented semiconductors 65 years ago, and the U.S. semiconductor industry remains the global leader, commanding just over 50% of global chip revenues. But as competitors from around the world have sought to challenge U.S. leadership, America’s share of global chip manufacturing capacity was declining sharply – from 37% in 1990 to just 10% by 2022. If this trend were to continue, the U.S. semiconductor industry would risk falling back from the forefront of further advances in manufacturing processing technology, designs and architectures, and materials critical for developing the next generation of chips that will underpin the technologies of tomorrow.This foundational technology is the hidden force driving modern innovation – and a testament to the wonder of advanced semiconductor research, design, and manufacturing.Semiconductors are a marvel of modern technology and the foundation of our digital world. The chips powering modern smartphones contain more than 15 Billion transistors, each smaller than a virus and capable of switching on and off billions of times/second.Semiconductors are the heart of today’s AI data centers can contain hundreds of billions of transistors, a number so high that if you counted one transistor per second, it would take more than 6,000 years to count all the transistors on a single chip.
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I increasingly find people asking me “does AI damage your brain?” It's a revealing question. Not because AI causes literal brain damage (it doesn't) but because the question itself shows how deeply we fear what AI might do to our ability to think. So, in this post, I want to discuss ways of using AI to help, rather than hurt, your mind. But why the obsession over AI damaging our brains? Via Nik Peachey
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Author Ethan Mollick states, "I increasingly find people asking me, 'Does AI damage your brain?” It's a revealing question. Not because AI causes literal brain damage (it doesn't) but because the question itself shows how deeply we fear what AI might do to our ability to think. So, in this post, I want to discuss ways of using AI to help, rather than hurt, your mind. But why the obsession over AI damaging our brains? - This article is well worth reading. - AI can help or hurt our thinking. I particularly like the conclusion, “Our fear of AI's damaging our brains” is a fear of our laziness. The technology offers an easy out from the hard work of thinking, and we worry we'll take it. We should worry. But we should also remember that we have a choice. Your brain is safe. Your thinking, however, is up to you.”
Nik Peachey's curator insight,
July 9, 2025 6:08 AM
This article is well worth reading. - AI can help, or hurt, our thinking. I particularly like the conclusion “Our fear of AI “damaging our brains” is actually a fear of our own laziness. The technology offers an easy out from the hard work of thinking, and we worry we'll take it. We should worry. But we should also remember that we have a choice. Your brain is safe. Your thinking, however, is up to you.”
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"Voice technologies are no longer just about recognizing what we say; they are beginning to understand how we say it. As artificial intelligence (AI) advances, it can detect subtle emotional signals in our speech, promising more human-like interactions with machines. Emotional AI is reshaping how voice data is used across industries." Via EDTECH@UTRGV, Nik Peachey
Richard Platt's insight:
"Voice technologies are no longer just about recognizing what we say; they are beginning to understand how we say it. As artificial intelligence (AI) advances, it can detect subtle emotional signals in our speech, promising more human-like interactions with machines. Emotional AI is reshaping how voice data is used across industries."
EDTECH@UTRGV's curator insight,
July 4, 2025 11:03 AM
"Paralinguistic voice analysis focuses on non-verbal elements of speech like tone, pitch, volume, pauses and rhythm that convey emotion, intention or attitude. While traditional voice recognition focused on transcribing spoken words, emotional AI adds a new layer: interpreting how those words are delivered. Today’s AI systems use deep learning to identify these paralinguistic features in real time." |
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Nik Peachey's curator insight,
January 15, 2:11 AM
This is a really useful and well balanced report. 
anita92delarosa@gmail.com's curator insight,
January 16, 8:29 AM
El informe “A New Direction for Students in an AI World: Prosper, Prepare, Protect” (Brookings, 2026) analiza los efectos de la inteligencia artificial en la educación y advierte que, si se usa sin regulación y preparación adecuada, puede generar riesgos sobre el aprendizaje, la privacidad y la equidad. Propone tres pilares: Prosper, para enriquecer el aprendizaje sin sustituir el pensamiento; Prepare, para fortalecer la alfabetización en IA y la formación docente; y Protect, para garantizar la seguridad y el bienestar estudiantil. Críticamente, aunque ofrece un marco útil, el informe enfatiza los riesgos más que los beneficios potenciales, y sugiere que la integración efectiva de IA requiere evidencia empírica, formación docente y adaptación curricular.
Referencia Bibliográfica: Burns, M. et al. (2026). Una nueva dirección para los estudiantes en un mundo de IA: prosperar, prepararse, proteger. Centro para la Educación Universal en Bookings. https://www.brookings.edu/wp-content/uploads/2026/01/A-New-Direction-for-Students-in-an-AI-World-FULL-REPORT.pdf
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The AI landscape will keep shifting—new tools, faster models, endless possibilities. But clarity, not speed, will determine who succeeds. Via EDTECH@UTRGV
Richard Platt's insight:
"The leaders who thrive are the ones who adapt with purpose, aligning every experiment with strategy and using AI to elevate, not erode, human skills."
EDTECH@UTRGV's curator insight,
January 6, 12:10 PM
"The leaders who thrive are the ones who adapt with purpose, aligning every experiment with strategy and using AI to elevate, not erode, human skills."
Nik Peachey's curator insight,
January 8, 5:30 AM
"The leaders who thrive are the ones who adapt with purpose, aligning every experiment with strategy and using AI to elevate, not erode, human skills."
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The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise. Via Lionel Reichardt / le Pharmageek
Richard Platt's insight:
The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.
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South-East Asian health systems provide case studies for building AI healthcare with verifiability and accountability that patients can trust. Via Lionel Reichardt / le Pharmageek
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South-East Asian health systems provide case studies for building AI healthcare with verifiability and accountability that patients can trust.
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Richard Platt's insight:
recent survey
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Nineteen-year-old Lia was at a follow-up appointment at a boutique dermatology practice in New York City. She was interested in a prescription for hair growth. Since she was already on another medication, the dermatologist decided to check for potential drug-drug interactions — using ChatGPT on her phone.“I just was kind of like, that’s strange,” Lia, who did not share her last name out of privacy concerns, told Fierce Healthcare. “I guess I’ll just do my own research in addition to her.” | Publicly available generative AI tools like ChatGPT are popular, easy to access and simple to use. If consumers are using them, are doctors, too? The answer, Fierce Healthcare finds, is yes. Via Lionel Reichardt / le Pharmageek
Richard Platt's insight:
Nineteen-year-old Lia was at a follow-up appointment at a boutique dermatology practice in New York City. She was interested in a prescription for hair growth. Since she was already on another medication, the dermatologist decided to check for potential drug-drug interactions — using ChatGPT on her phone.“I just was kind of like, that’s strange,” Lia, who did not share her last name out of privacy concerns, told Fierce Healthcare. “I guess I’ll just do my own research in addition to her.” | Publicly available generative AI tools like ChatGPT are popular, easy to access and simple to use. If consumers are using them, are doctors, too? The answer, Fierce Healthcare finds, is yes.
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As Artificial Intelligence (AI) increasingly influences how we access information, communicate, and make decisions, AI literacy becomes essential for navigating daily life, creating with purpose, and preparing for the future of learning and work. AI literacy equips learners and educators to understand both the risks and opportunities that AI presents, and to make meaningful and ethical decisions about its use. Via Edumorfosis, Nik Peachey
Richard Platt's insight:
As Artificial Intelligence (AI) increasingly influences how we access information, communicate, and make decisions, AI literacy becomes essential for navigating daily life, creating with purpose, and preparing for the future of learning and work. AI literacy equips learners and educators to understand both the risks and opportunities that AI presents, and to make meaningful and ethical decisions about its use
Edumorfosis's curator insight,
July 18, 2025 9:19 AM
Artificial Intelligence (AI) has become a widely used tool in our everyday life, including for learning, personalized assistance, and entertainment. Therefore, young people must be able to understand how AI works, its societal impact, and how to use it ethically in order to be prepared for a society and economy in the age of AI. “Integrating AI literacy into education is essential to equip students with the critical thinking skills necessary to understand, interact with, and innovate using digital technologies, preparing them to contribute meaningfully to society” (Lidija Kralj)
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Richard Platt's insight:
Discover how integrating artificial intelligence and critical thinking strategies can foster transformative learning experiences in higher education. Learn how educators can model, guide, and support students in navigating AI with intention, reflection, and integrity. Whilst a lot of articles like this see critical thinking as a tool to apply to AI-generated content, I find myself seeing AI as a tool to critically examine the world
Nik Peachey's curator insight,
July 15, 2025 6:52 AM
Whilst a lot of articles like this see critical thinking as a tool to apply to AI generated content, I find myself seeing AI as a tool to critically examine the world
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From
youtu
Watch the recording of the webinar from Tuesday 8 July 2025 to explore how teacher educators can help teachers partner with AI to identify relevant and credible research, and extract insights that inform their classroom practice. Via Nik Peachey
Richard Platt's insight:
Watch the recording of the webinar from Tuesday 8 July 2025 to explore how teacher educators can help teachers partner with AI to identify relevant and credible research, and extract insights that inform their classroom practice.
Nik Peachey's curator insight,
July 11, 2025 6:18 AM
It was great to be one of the presenters at this event for teacher educators.
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From
medium
Over the last few weeks, I’ve been on a bit of a risk kick. I’ve been reading books on how risk plays out at the operational and financial level, and one thing keeps sticking out, Intel feels like…
Richard Platt's insight:
It’s hard to pinpoint exactly when the decline started. Like most corporate failures, it didn’t happen all at once, it rolled in slowly, one missed step at a time. Intel’s fall traces back to a series of leadership missteps culminating in one of the most consequential fumbles in tech history: missing the mobile market. Intel had a front-row seat to the iPhone revolution. Apple came to them 1st, Ottelini passed, believing the volumes weren’t worth it. The mobile shift was already in motion Intel ignored it. It was a failure of strategic judgment. The current leadership reflects this today, not with accountability, but with rationalization. No sense of ownership, no clear admission that the call was wrong. Just soft hindsight and shrugged shoulders. That’s not leadership. That’s deflection. - Intel never had a financial problem (before) they had a risk management problem specifically, in its leadership class. Otellini, came from an economics background, but Intel is famed for being run by engineers. There was the Intel Atom, which flopped in mobile; the QLogic Ethernet acquisition, which they let wither; and the infamous Arizona fab , a billion-dollar facility shuttered before it ever opened. These aren’t the moves of a cautious company they’re the missteps of a leadership team stuck between 2 identities.
If Intel truly wants to minimize risk, it should lean into its strengths as a front-line innovative manufacturer, becoming a world-class foundry. The problem is identity. Intel still sees itself as the architect of x86 dominance. Those days are past. This crap self-image is increasingly out of step with market reality. They don’t want to supply the stars, they still think they are one. Intel is going to be almost entirely dependent on what they do over the next 12–18 months. Long-term success means pivoting away from designing in-house chips and becoming a one-stop manufacturing hub for the broader market. Intel as a household name began to fade when people stopped using home computers and started paying their bills from their phones. That consumer relevance is gone. But there’s still value Intel can bring specifically, as a world-class foundry with capabilities TSMC can’t easily match. Intel can step in as the alternative, with manufacturing sites across Oregon, Ireland, and soon Germany. If TSMC’s capacity maxes out, or its economics falter, Intel can capture share. And then there’s compliance. Intel’s deep ties to U.S. regulators and defense contractors make it uniquely positioned to maintain ITAR compliance something that could become critical in an increasingly digitized military landscape. Intel says it wants to build the next great global foundry. But right now, its customer list reads more like an internal memo than a marketplace. I’ll be more optimistic when Intel’s foundry serves more external partners than internal product lines.
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Analog computing is not a new idea, but the emergence of math-heavy AI workloads in recent years has prompted several startups to build new architectures based on some of the same concepts. In general, the basic operations of multiplication and addition are achieved within a memory array. A memory cell stores a weight, acting as a variable resistor with resistance in some way proportional to the weight value. Data is encoded onto a voltage, which, when supplied to the memory cell, effectively multiplies the data value by the weight value. Output wires are joined together such that currents combine as a simple form of addition. This is a very low-energy way to multiply and add, the two math operations required for matrix multiplication, which form the bulk of AI workloads. Having computation take place in the memory—where the weights are already stored—also means less data movement is needed, which is more energy efficient. Other companies’ analog computing schemes have had various levels of success over the years. Mythic uses an array of Flash memory cells as a matrix multiply accelerator, for example, but this requires complex calibration algorithms for process and temperature variations that can reduce precision. Other types of memory can be used; Tetramem uses RRAM in its memory array. D-Matrix uses modified SRAM for analog multiply, combined with digital addition in its scheme to get around problems with precision and accuracy in all-analog designs.