TEKNOLOGI UNTUK DAMPAK NYATA
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untuk Menciptakan Dampak
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ARAH KAMI
Visi & Misi
01
EKOSISTEM TRANSFORMASI
02
INKLUSIVITAS AKSES
03
SOLUSI KONTEKSTUAL
SIAPA KAMI
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FOKUS KERJA
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PARTNER:
Kecerdasan Buatan & Dampak Sosialnya
Dalam era digital ini, AI menawarkan solusi inovatif untuk mengotomatisasi sejumlah tugas administratif, membebaskan waktu...
Di dunia kita yang penuh dengan kecepatan, teknologi telah menjadi sinonim dengan pengetahuan. Seringkali kita...
Pendahuluan Penggunaan kecerdasan buatan (AI) dalam kampanye politik telah menjadi semakin umum di era digital...
Kecerdasan Buatan (AI) telah mulai memainkan peran transformasional di seluruh sektor kesehatan, secara dinamis mengubah...
Di era keberlimpahan informasi ini, melacak gerak kebijakan publik yang memiliki relevansi dengan kehidupan seseorang...
Artificial intelligence telah menjadi bagian tak terpisahkan dari kehidupan kita, merambah ke berbagai aspek kehidupan....
Journal
- By Teo Susnjak
- Published 22 June, 2023
- Citation: Susnjak, T. Beyond Predictive Learning Analytics Modelling and onto Explainable Artificial Intelligence with Prescriptive Analytics and ChatGPT. Int J Artif Intell Educ (2023).
- By Fernando Martínez-Plumed, Karina Vold, John Burden, Pablo A. M. Casares, Bao Sheng Loe, Roi Reichart, Sean Ó hÉigeartaigh, Anna Korhonen, José Hernández-Orallo
- Published 12 June, 2023
- Citation: Journal of Artificial Intelligence Research 77 (2023) 377-394 View of Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models. (n.d.). https://www.jair.org/index.php/jair/article/view/14157/26935
News
TECHXPLORE
- Physics-informed AI method speeds thermal energy storage design optimizationon 17 August 2026 at 17:40
With intensifying climate change, decarbonizing the global building sector has become a key priority. A substantial portion of a building's energy demand comes from heating and cooling. Consequently, developing efficient thermal energy storage systems is a crucial part of this effort.
- Engineers make edge AI more efficient by redesigning both algorithm and hardwareon 17 August 2026 at 16:20
Researchers in the Riccio College of Engineering at the University of Massachusetts Amherst have demonstrated that redesigning both hardware and algorithms can make AI applications on edge devices more efficient. As proof of concept, their system achieved 95.24% accuracy in language identification while reducing computing resources by 90%—the highest reported accuracy from a system of its kind.
- Who gets credit when AI joins the team? Rethinking what it means to own an ideaon 17 August 2026 at 14:20
A few months ago, AI made headlines for cracking a mathematical puzzle that had stumped experts for decades. Mathematician Paul Erdős posed the unit-distance conjecture, predicting how many pairs of points could lie the same distance apart. AI proved it wrong by tracking down a group of infinite counterexamples to the solution Erdős proposed.
- New EU laws make AI content labels compulsory—but might just make it harder to spot deepfakeson 17 August 2026 at 13:00
As the world is increasingly flooded with deepfakes, the European Union is taking action to help people distinguish what is real and what is not.
- The decades‑old 'AI alignment problem' has finally become a reality: Solving it won't be easyon 17 August 2026 at 11:20
Human beings have long told versions of the same warning: Be careful what you wish for. In Greek mythology, King Midas got exactly what he asked for, but at the cost of everything else he valued. In the famous story of The Monkey's Paw, a man's wishes are granted through terrible and unforeseen routes.
MIT
- Q&A: Rethinking how innovation happensby Jason Sparapani | Department of Materials Science and Engineering on 17 August 2026 at 19:50
In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.
- With a feel for physics, AI models simulate a wider range of real-world scenariosby Alex Shipps | MIT CSAIL on 10 August 2026 at 19:25
“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.
- Solving the solvent problemby Steve Nadis | Department of Nuclear Science and Engineering on 4 August 2026 at 18:50
By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.
- The benefits of medical AI assistance vary based on user expertiseby Adam Zewe | MIT News on 4 August 2026 at 09:00
Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.
- Alexander Rakhlin named director of the MIT Statistics and Data Science Centerby Institute for Data, Systems, and Society on 3 August 2026 at 19:50
An expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.









