UNTUK PERUBAHAN LEBIH BAIK
Adaptasi dan Integrasi AI di Tanah Nusantara. Obyektif, Realis dan Inklusif.
Acara Terbaru
ACARA YANG AKAN DATANG
Tenang, akses materi dan rekamannya tersedia disini ya! 📚
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
- What will it take to make AI-enabled robots safer?on 29 April 2026 at 20:26
The effort to "align" AI with human values is falling dangerously short in robotic systems, according to researchers from Penn Engineering, Carnegie Mellon University (CMU) and the University of Oxford. In a new paper appearing in Science Robotics, the researchers highlight the need to develop more thorough frameworks for ensuring that AI-enabled robots embody a core principle famously articulated by science fiction author Isaac Asimov: "A robot may not injure a human being."
- The friendlier AI gets, the more it can backfireon 29 April 2026 at 19:20
Major AI platforms, including OpenAI and Anthropic, as well as social apps like Replika and Character.ai, are increasingly designing chatbots to be warm, friendly, and empathetic. However, new research from the Oxford Internet Institute at the University of Oxford finds that chatbots trained to sound warmer and more empathetic are significantly more likely to make factual errors and agree with false beliefs.
- AI 'deadbots' can fuel pathological grief and affect how we deal with deathon 29 April 2026 at 16:40
Due to recent developments in artificial intelligence (AI), it's now possible to digitally "revive" dead people and interact with them.
- How everyday devices could train AI faster while keeping personal data on-deviceon 29 April 2026 at 15:40
A new method developed by MIT researchers can accelerate a privacy-preserving artificial intelligence training method by about 81%. This advance could enable a wider array of resource-constrained edge devices, like sensors and smartwatches, to deploy more accurate AI models while keeping user data secure.
- Brain-inspired approach can teach AI to doubt itself just enough to avoid overconfidenceon 29 April 2026 at 13:00
Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover patterns in data that are useful for making predictions. Deep learning, on the other hand, is a subset of machine learning that entails the use of multi-layered neural networks, which can autonomously extract features and learn complex patterns from unstructured data, sometimes with little or no human supervision.
MIT
- The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computingby MIT Schwarzman College of Computing on 29 April 2026 at 10:00
Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing.
- Enabling privacy-preserving AI training on everyday devicesby Adam Zewe | MIT News on 29 April 2026 at 04:00
A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.
- A faster way to estimate AI power consumptionby Adam Zewe | MIT News on 27 April 2026 at 04:00
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.
- MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyoneby Rachel Gordon | MIT CSAIL on 24 April 2026 at 17:00
New dataset of 30,000-plus competition math problems from 47 countries gives AI researchers a harder test — and students worldwide a better training ground.
- Teaching AI models to say “I’m not sure”by Rachel Gordon | MIT CSAIL on 22 April 2026 at 19:15
A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.