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Evolving AI in health care with Holographic Telepresence

#artificialintelligence

AI in health care sector has evolved leaps and bounds. However, there are certain sensitive areas or domains within it, where the magic touch of AI is yet to be felt. Such a domain is that of emergency health care domains like trauma care centres. Apparently, trauma care centres are the most visited because of the rate of accidents that occur daily. May it be motorbike accidents or gunshot wounds, the victims are straight sent to trauma care hospitals every day.


Victoria invests AU$34m in 'distracted driver' AI mobile phone detection tech

ZDNet

The Victorian government will be introducing new legislation to allow its "distracted driver" technology to be rolled out on certain roads in the state. The tech will capture drivers using their mobile phones while driving. The government will be investing AU$33.7 million to develop and implement it. It is understood the tech uses high-definition cameras and artificial intelligence to detect offending drivers illegally using their phone behind the wheel. It incorporates two cameras and an infrared flash to work both day and night. Images that are deemed likely to contain a mobile phone offence are then verified by appropriately trained personnel.


Survey finds 96% of execs are considering adopting 'defensive AI' against cyberattacks

#artificialintelligence

Register for a free or VIP pass today. "Offensive AI" will enable cybercriminals to direct attacks against enterprises while flying under the radar of conventional, rules-based detection tools. That's according to a new survey published by MIT Technology Review Insights and Darktrace, which found that more than half of business leaders believe security strategies based on human-led responses are failing. The MIT and Darktrace report surveyed more than 300 C-level executives, directors, and managers worldwide to understand how they perceive the cyberthreats they're up against. A high percentage of respondents (55%) said traditional security solutions can't anticipate new AI-driven attacks, while 96% said they're adopting "defensive AI" to remedy this.


How AI and Machine Learning Are Helping In Cybersecurity?

#artificialintelligence

The internet is becoming a vital part of our day-to-day lives and with every second that passes by, a new change takes place over the internet. The internet is no doubt a very useful place but there are risks that are associated with the internet, especially those that affect the security and privacy of the users. With the advent of AI and Machine Learning, every process is automated and this is making things convenient for internet users, especially cybersecurity which has improved drastically due to the advent of AI & Machine Learning. AI & Machine Learning can recognize different patterns that are used in data helping the security systems to learn from them. Cybersecurity is the protection of computers, networks, and other similar devices from damage, information theft, or any other harm.


[Research] Companies for compiling training data

#artificialintelligence

I need to retrieve data for Machine Learning training using sample data from event sites for training of a web scraper. Are you sure this is what you want to do? A web scraper is typically rule-based (e.g. But to answer your question, Amazon Mechanical Turk is by far the largest platform if you want to access (mostly unskilled) workforce, as long as you can frame your task into a questionnaire (i.e.


Council Post: Business Leaders: Pay Attention To These Key Technology Trends

#artificialintelligence

CEO of Align, Effortlessly turn your site into an advisor marketplace that generates revenue for experts and you. Every year, technology advancements continue to change business as we know it. The rate at which new devices, software and digital business methods are introduced continues to speed up into new frontiers. In addition, societal changes due to health, politics, geography and more have contributed to rethinking how business leadership has to perform today as opposed to just ten years ago. You don't have to be an IT expert to realize the organizational possibilities of these opportunities, either.


Algorithms similar to what Netflix and Facebook use can 'predict' the biological language of cancer

Daily Mail - Science & tech

Algorithms similar to those used by Netflix, Amazon and Facebook have shown the ability to decipher the'biological language' of cancer, Alzheimer's and other neurodegenerative diseases. Researchers trained a large-scale language model with a recommendation AI to look at what happens when something goes wrong with proteins that leads to the development of a disease. The work, conducted by St. John's College and the University of Cambridge, programed the algorithm to learn the language of shapeshifting droplets of proteins found in cells in order to understand their function and malfunction. By learning these protein droplets' language, the team can then'correct the grammatical mistakes inside cells that cause disease.'' Professor Tuomas Knowles, a Fellow at St John's College, said: 'Any defects connected with these protein droplets can lead to diseases such as cancer. 'This is why bringing natural language processing technology into research into the molecular origins of protein malfunction is vital if we want to be able to correct the grammatical mistakes inside cells that cause disease.' Machine learning technology has made waves in the tech industry – Netflix uses it to recommend series, Facebook's suggest someone to friend and Amazon's Alexa has an algorithm to recognize people based on their voice.


51 Machine Learning Statistics to Get You Thinking

#artificialintelligence

Machine learning can automatically learn and improve through specialized applications. Here are 51 statistics evidencing this fact.


Facebook asked people to share their age and gender to create a fairer AI dataset

Engadget

Facebook is sharing a new and diverse dataset with the wider AI community. In an announcement spotted by VentureBeat, the company says it envisions researchers using the collection, dubbed Casual Conversations, to test their machine learning models for bias. The dataset includes 3,011 people across 45,186 videos and gets its name from the fact it features those individuals providing unscripted answers to the company's questions. What's significant about Casual Conversations is that it involves paid actors who Facebook explicitly asked to share their age and gender. The company also hired trained professionals to label ambient lighting and the skin tones of those involved according to the Fitzpatrick scale, a dermatologist-developed system for classifying human skin colors.


Radical AI podcast: featuring Su Lin Blodgett

AIHub

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Su Lin Blodgett about defining bias. How do we define bias? Is all bias the same? Is it possible to eliminate bias completely in our AI systems?