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These Algorithms Look at X-Rays--and Somehow Detect Your Race

WIRED

Millions of dollars are being spent to develop artificial intelligence software that reads x-rays and other medical scans in hopes it can spot things doctors look for but sometimes miss, such as lung cancers. A new study reports that these algorithms can also see something doctors don't look for on such scans: a patient's race. The study authors and other medical AI experts say the results make it more crucial than ever to check that health algorithms perform fairly on people with different racial identities. Complicating that task: The authors themselves aren't sure what cues the algorithms they created use to predict a person's race. Evidence that algorithms can read race from a person's medical scans emerged from tests on five types of imagery used in radiology research, including chest and hand x-rays and mammograms.


Kirsty McLuckie: Domestic implications of driverless vehicles

#artificialintelligence

And far from being a futuristic idea, the first steps towards autonomous vehicles are already here. Self-driving vehicles are to be allowed on UK roads by the end of this year, according to the Department for Transport. Automated lane-keeping systems would be the first type of hands-free driving legalised, using technology which controls the position and speed of a car in a single lane and limited to 37mph. Such an innovation doesn't sound like it is going to impact much, beyond making short parts of a journey less stressful for drivers with the technology, but it is a big step towards the fully autonomous driving which could change our lives in almost every way – with driverless vehicles roaming the country, picking up passengers on demand and negating the need for individuals to drive, park or even own their own car. Such a system, which could certainly start to be introduced in the next decade, will change an awful lot in the world of residential real estate too.


MIT researchers use AI to predict the next big things in tech

#artificialintelligence

MIT researchers have used AI to predict which technologies are rapidly improving -- and which ones are overhyped. In a new study, the team quantitatively assessed the future potential of 97% of the US patent system. The fastest-improving domains were predominantly software-related. They then converted their findings into an online system in which users can enter keywords to find improvement forecasts for specific technologies. Their research could give entrepreneurs, researchers, investors, and policy-makers clues about the future opportunities in tech.


How Does AI Help You Search Better?

#artificialintelligence

AI technology has grown in leaps and bounds over the past few years, and one of its main implementations is internet search engines. From correcting misspelled words to predicting what a user wants to search for, AI has made searching the web so much easier. Google is the leader when it comes to the sheer volume of search queries that it handles. Naturally, it has implemented an AI-based algorithm that helps improve your search experience. Exactly how does AI do this?


Jobs that we may say goodbye to in the post-pandemic era

#artificialintelligence

With the pandemic making work and learn-from-home the new norm and Artificial Intelligence (AI) creeping into our lives, there are several traditional jobs that are likely to fade away a few years from now. With digital calendars and assistants meticulously managing schedules and AI churning out products with precision, several workers may soon find machines replacing their function within an organisation. They may not attend all-important business meetings but the peon is omnipresent in the office, from conference rooms and cubicles to in the corridors. Bringing fresh tea, sending parcels in the courier, peons don several hats. They often know exactly what's happening in different corners of the office and enjoy a good rapport with people across levels.


Russia: Our Killer Robots Don't Need Any Pesky International Laws

#artificialintelligence

United Nations delegates are currently meeting to debate possible regulations controlling autonomous killer robots -- but Russia is having none of it. The Russian delegate, representing a country that has already developed and deployed military robots in real-world conflicts, remained steadfast that the global community doesn't need any new rules or regulations to govern the use of killer robots, The Telegraph reports. That pits Russia against much of the rest of the international community, who are calling for rules to keep humans in charge of the decision to open fire, highlighting on the main anxieties and ethical conundrums surrounding autonomous weaponry. The argument from Russia is that the AI algorithms driving these killer robots are already advanced enough to differentiate friend from foe from civilian, and that therefore there's no need to burden the autonomous death machines with unnecessary regulations. "The high level of autonomy of these weapons allows [them] to operate within a dynamic conflict situation and in various environments while maintaining an appropriate level of selectivity and precision," the delegate said, according to The Telegraph.


How to do machine learning without an army of data scientists

#artificialintelligence

Jennifer Flynn had a problem. Shortly after joining LeadCrunch as a senior data scientist, she wanted to push out one small update of the company's software, which uses machine learning to find sales leads for its business customers. The data science team consisted of just five engineers, including her. That simple update took days and required help from the company's product development team, too. "It wasn't tenable," Flynn said, now LeadCrunch's principal data scientist.


thinkrisk – The first AI-powered hyper-relevant risk assurance platform that detects transactional anomalies, frauds and control failure in real time with precision.

#artificialintelligence

ThinkRisk, our purpose-built flexible AI platform, analyzes 100% of your accounting transactions from the sub-ledger and general ledger to identify misuse, errors, and improve overall internal control health across your organization. We leverage our domain expertise by applying ThinkRisk's proprietary machine learning solution to efficiently identify the most significant risks and provide an explanation for each finding.


UK considers blocking Nvidia's $40B acquisition of Arm

#artificialintelligence

Bloomberg reports the UK is considering blocking Nvidia's $40 billion acquisition of Arm over national security concerns. Over 160 billion chips have been made for various devices based on designs from Arm. In recent years, the company has added AI accelerator chips to its lineup for neural network processing. "ARM is an incredible company and it employs some of the greatest engineering minds in the world. But we believe we can make ARM even more incredible and take it to even higher levels. We want to propel it -- and the UK -- to global AI leadership."


Why Sales Leaders Need AI--And The C-Suite Should Demand It

#artificialintelligence

Sales is fraught with emotion and thrives on human connection. Sales leadership, on the other hand, requires analytical skills to enhance the effectiveness of each member of the sales team while allocating resources smartly. Rather than relying on their instincts alone, sales leaders need AI and analytics. Some sales leaders may think that establishing and tracking goals makes them "analytical" and "data-savvy." While that's a good start, there is nothing inherently strategic or rigorous about using a dashboard.