stp2y

31395 Posts
Anomaly detection for the identification of volcanic unrest in satellite imagery

Anomaly detection for the identification of volcanic unrest in satellite imagery

[Submitted on 28 May 2024] View a PDF of the paper titled Anomaly detection for the identification of volcanic unrest in satellite imagery, by Robert Gabriel Popescu and 2 other authors View PDF HTML (experimental) Abstract:Satellite images have the potential to detect volcanic deformation prior to eruptions, but while a vast number of images are routinely acquired, only a small percentage contain volcanic deformation events. Manual inspection could miss these anomalies, and an automatic system modelled with supervised learning requires suitably labelled datasets. To tackle these issues, this paper explores the use of unsupervised deep learning on satellite data for…
Read More
Instagram makes its status update feature more interactive

Instagram makes its status update feature more interactive

Instagram launched Notes in December 2022 as a way for people to share statuses (not so dissimilar to Facebook) on the platform. Now, the Meta-owned app is taking inspiration from its sister site for more features, with the addition of Note Prompts.Instagram first experimented with Note Prompts earlier this year, and the feature allows users to share questions such as "What should I eat?" or "Who is going to be in X city this weekend?" Friends can then respond with tips, suggestions and random thoughts on the subject. It feels very Facebook circa 2012, as does another new feature, Mentions,…
Read More
AI is cracking a hard problem – giving computers a sense of smell

AI is cracking a hard problem – giving computers a sense of smell

Over 100 years ago, Alexander Graham Bell asked the readers of National Geographic to do something bold and fresh – “to found a new science.” He pointed out that sciences based on the measurements of sound and light already existed. But there was no science of odor. Bell asked his readers to “measure a smell.” Today, smartphones in most people’s pockets provide impressive built-in capabilities based on the sciences of sound and light: voice assistants, facial recognition and photo enhancement. The science of odor does not offer anything comparable. But that situation is changing, as advances in machine olfaction, also…
Read More
Tesla accuses advisory firm of ‘scaremongering’ after it urged investors to vote against Musk’s pay package

Tesla accuses advisory firm of ‘scaremongering’ after it urged investors to vote against Musk’s pay package

Tesla was quick to fire back at Glass Lewis after the advisory firm encouraged shareholders to vote against the company's $55 billion compensation plan for Elon Musk.In a letter to shareholders on Wednesday, Tesla slammed Glass Lewis, accusing the firm of "scaremongering" and faulty reasoning."In its report, Glass Lewis omits key consideration, uses faulty logic, and relies on speculation and hypotheticals," Tesla wrote in a letter to investors titled "What Glass Lewis Got Wrong About Tesla." The automaker hit back at multiple claims presented in Glass Lewis' 71-page report that was published Saturday and first reported by Bloomberg. Glass Lewis…
Read More
Learning diverse attacks on large language models for robust red-teaming and safety tuning

Learning diverse attacks on large language models for robust red-teaming and safety tuning

arXiv:2405.18540v1 Announce Type: new Abstract: Red-teaming, or identifying prompts that elicit harmful responses, is a critical step in ensuring the safe and responsible deployment of large language models (LLMs). Developing effective protection against many modes of attack prompts requires discovering diverse attacks. Automated red-teaming typically uses reinforcement learning to fine-tune an attacker language model to generate prompts that elicit undesirable responses from a target LLM, as measured, for example, by an auxiliary toxicity classifier. We show that even with explicit regularization to favor novelty and diversity, existing approaches suffer from mode collapse or fail to generate effective attacks. As a…
Read More
Deephaven’s modernized time library — Part 2 | Deephaven

Deephaven’s modernized time library — Part 2 | Deephaven

import datetimeimport pandas as pdimport numpy as npfrom deephaven import new_tablefrom deephaven.column import datetime_col, int_colfrom deephaven.time import to_j_instantfirst_time = 1694543451second_time = "2021-07-04T08:00:00 ET"third_time = datetime.datetime(2021, 9, 6, 12, 30)fourth_time = pd.Timestamp(year=2021, month=12, day=25, hour=21, minute=15)fifth_time = np.datetime64("2021-12-25T21:15:00")t1 = new_table([ datetime_col("Timestamp", [first_time, second_time, third_time, fourth_time, fifth_time]), int_col("Value", [1, 2, 3, 4, 5])])filter_time = to_j_instant( third_time + datetime.timedelta(days=90) )t2 = t1.where("Timestamp > filter_time") Source link lol
Read More
Data center leaders create Ultra Accelerator Link group for AI connectivity

Data center leaders create Ultra Accelerator Link group for AI connectivity

Time's almost up! There's only one week left to request an invite to The AI Impact Tour on June 5th. Don't miss out on this incredible opportunity to explore various methods for auditing AI models. Find out how you can attend here. A group of data center tech leaders have formed the Ultra Accelerator Link Promoter Group to create a new way to scale up AI systems in data centers. Advanced Micro Devices, Broadcom, Cisco, Google, Hewlett Packard Enterprise (HPE), Intel, Meta, and Microsoft today announced they have aligned to develop a new industry standard dedicated to advancing high-speed and…
Read More
Canadian University Augments Solar Panels to Improve Output – EE Times

Canadian University Augments Solar Panels to Improve Output – EE Times

//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> Researchers in Canada’s national capital have devised a smart approach to optimize the effectiveness of solar panels by enhancing them with artificial ground reflectors. The University of Ottawa’s SUNLAB, led by electrical engineering Professor Karin Hinzer, collaborated with the National Renewable Energy Laboratory (NREL) in Golden, Colorado, to study how reflective ground covers affect solar energy output. The research was conducted by uOttawa electrical engineering doctoral candidate Mandy Lewis in Golden, and it found that placing reflective surfaces under solar panels can increase their energy output by up to 4.5%.…
Read More
No widgets found. Go to Widget page and add the widget in Offcanvas Sidebar Widget Area.