It’s recently been reported that Google are using machine learning and AI software to better detect breaking news. Through utilising such technologies, the tech giant has claimed it can identify pressing news around the topic of crises – e.g. natural disasters – faster than it ever has before.
This news come from Google’s vice president of search Pandu Nayak, revealing that through such systems, Google is able to detect breaking news in a matter of minutes – an impressive advancement from its detection of the same type of content just a few years ago, in which it would take 40 minutes.
Having a faster detection of breaking news will most likely be essential as incidents of natural disasters present themselves across the world – and of which can change course considerably quickly. Faster detection of accurate breaking news can help to keep people up to date on the latest from emerging crises.
[caption id="attachment_637" align="aligncenter" width="700"]
Google Vice President, Pandu Nayak[/caption]
Nayak states: “Over the past few years, we’ve improved our systems to … ensure we’re returning the most authoritative information available,”
“As news is developing, the freshest information published to the web isn’t always the most accurate or trustworthy, and people’s need for information can accelerate faster than facts can materialise.”
In a related vein, Google has also announced updates in their attempts to tackle the spread of misinformation. The tech giant have recently launched an update with the help of BERT-based language understanding models, improving how they match news stories with the fact checks available.
As claimed by Nayak, their systems have improved, and now understand better whether fact check claims are related to a new piece’s topic.
“Our improvements in detecting crisis events expands on our work in 2017 to improve the quality of results for topics that might be susceptible to hateful, offensive and misleading information.”
“Those improvements remain fundamental to how we handle low-quality information in Search and News products, and since then, we’ve continuously updated our systems to be able to detect topic areas that may be at risk for misinformation. We’re continuing to train and test out systems to ensure that whatever people are searching for, they can find reliable information.”
This news from Google comes at an apt time, with the U.S. 2020 election nearing alongside such recent natural disasters as the Oregon and California wildfires – all amidst an everchanging backdrop of COVID-related updates regarding rules, regulations and infection rates. Fast and accurate information surrounding crucial, often quick-changing updates is arguably needed now more than ever.
Get rid of the cr…p and do something Cool!
Read the valuable insights offered by Buster Tolfree the Commercial Director – Mortgages at a Tip-Talks event co-sponsored by United Trust Bank and Optalitix.
The Magic of AI
Demystifying AI is a challenge facing most businesses as automation and machine learning shift to being a necessity. Read more about the magic of AI here.
Google’s AI Claims to Be Improving How It Recognises News and Misinformation
Google's Vice President, Pandu Nayak claims that Google is using AI to better understand news and misinformation. Read more about Nayak's theory in this guide.
DeepMind AI Explores How to Improve Chess
Deepmind is an AI company using machine learning to reinvent the game of chess as we know it, with the help of chess champion Vladimir Kramnik. Learn more here.
Dani Katz runs 18km as part of Optalitix Fundraising
Optalitix co-founder Dani Katz ran 18km as part of Optalitix’s fundraising efforts this summer. Read about how he did and the charities that Dani ran for here.
Optalitix Joins Google Cloud Partner Advantage Program
Market leaders in AI and machine learning solutions, Optalitix, announced it has joined the Google Cloud Partner Advantage Program as a Sell and Build partner.
AI Breakthrough Could Accelerate Machine Learning Development
Researchers achieved a new AI breakthrough whereby using light for performing computations can improve machine learning neural networks in speed and efficiency.
AI Used on Facebook and Twitter to Detect Foreign ‘Trolls’
Researchers claim to have trained a machine learning system to identify posts on social media that aim to manipulate political events. Read more in this guide.
Next Generation of AI Described as “Too Dangerous to Release” – Now Released
The Artificial intelligence tool Generative Pre-training Transformer (GPT-3) has gained much attention, but is the technology dangerous? Learn more now.
Elon Musk Predicts AI Will Overtake Humans in 5 Years
Elon Musk has recently claimed that Artificial Intelligence could overtake humans by 2025, and discussed these predictions in a New York Times interview.
Optalitix Named Amongst Start-up Elite in the TechRound100
Optalitix is a finalist in the TechRound100, ranking in the top 100 UK start-ups that have been praised for their innovation. Learn about this competition here.
Identifying Unwanted Bias in Machine Learning
With human-made models comes human-biases, machine learning models are inclined to reflect the biases of the team who built it and the data it is fed.
Concerns Rise Over AI Racial Bias as Facial Recognition “Predicts Criminality”
The debate over racial bias in tech has been renewed as a US university claims it can predict criminality through facial recognition. Learn more in this guide..
How Is AI Helping to Fight the Impacts of COVID-19?
AI and machine learning have become key tools in helping to tackle the pandemic, not just in understanding the virus but also how to support different industries.
The Top 5 Strangest Uses of AI
Whilst AI has transformed many essential areas of society, some have also begun to use its technology for the weirder. Take a look at some odd uses of AI here.