TEKNOLOGI UNTUK DAMPAK NYATA
Memanfaatkan teknologi
untuk Menciptakan Dampak
sipil lewat riset terbuka, forum diskusi, serta materi edukasi yang
disusun secara objektif, realistis, dan inklusif.
ARAH KAMI
Visi & Misi
01
EKOSISTEM TRANSFORMASI
02
INKLUSIVITAS AKSES
03
SOLUSI KONTEKSTUAL
SIAPA KAMI
Yayasan Independen yang Berdiri di Antara Riset, Komunitas, dan Kebijakan
40+
15+
10+
FOKUS KERJA
Apa yang Kami Kerjakan
Edukasi Teknologi
Pendampingan Berkelanjutan
Riset & Publikasi
Advokasi Kebijakan
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
- Spelling backward gets easier for AI models upgraded to see every letteron 9 October 2026 at 14:20
Before large language models (LLMs) can process text, they split it into chunks such as words or word fragments. The LLM behind ChatGPT, for example, splits "LMU München" into the three chunks "LM," "U" and "München," so it never directly sees the individual letters in "München." This step, which is known as subword tokenization, makes LLMs efficient but causes a range of problems, such as limited character-level understanding.
- Zankore's AI factory: Can Central Java afford the water cost?on 9 October 2026 at 11:20
Indosat Ooredoo Hutchison, together with Ooredoo Group, Nokia and Nvidia, plans to develop Zankore, an artificial intelligence (AI) infrastructure platform aimed at serving the region.
- OpenAI revenue gap report rattles AI stockson 9 October 2026 at 09:10
OpenAI is bringing in about $20 billion less in annualized revenue than investors had been led to believe, the Financial Times reported Thursday, raising questions about the solidity of the AI business.
- Fired researchers accuse OpenAI of 'chilling' safety effortson 9 October 2026 at 09:10
Three former OpenAI security researchers on Thursday accused the ChatGPT maker of firing them for warning about the dangers of artificial intelligence, reigniting the debate over safety at a company whose software has been involved in security breaches.
- Japan warns for increased vigilance against rising cyberattackson 9 October 2026 at 09:00
Japan's government issued a warning Friday for increased vigilance against cyberattacks, which are rising in number and becoming more sophisticated.
MIT
- 3 Questions: What is the best path forward for AI in academia?by Stefanie Koperniak | Institute for Data, Systems, and Society on 8 October 2026 at 21:25
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
- Using AI to mitigate the growing environmental threat of data centersby Adam Zewe | MIT News on 8 October 2026 at 04:00
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
- Discovering the value of humanistic inquiryby Elizabeth Durant | Division of Graduate and Undergraduate Education on 7 October 2026 at 20:10
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
- Supercomputing researchers document evolution of AI hardwareby Haley Wahl | MIT Lincoln Laboratory on 6 October 2026 at 20:55
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
- Chris Bourg named vice provost and Barbara K. Ostrom (1978) Director of the MIT Librariesby Office of the Provost on 6 October 2026 at 17:00
As director, Bourg has focused on digital access, open and equitable scholarly publishing, and expanded support for data-intensive research.









