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8 Helpful Everyday Examples of Artificial Intelligence

#artificialintelligence

AI (Artificial Intelligence) is a technology that feels like it came out of a comic book. What we once considered to be the future, is here now. AI as we know it today has footprints that date back to the classic philosophers, who attempted to explain human thinking as a symbolic system. However, the term AI was formally coined in the year 1956, at a conference at Dartmouth College in Hanover, New Hampshire. In a report by PWC, it is stated that AI-enabled activities could raise the global GDP to 14percent by the end of 2030, which sums up to $15.7 Trillion. This is evidence of the potential that AI software development has today and in the future to come.


Intel expands AI career education program to 18 community colleges

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The program aims to prepare community college students for careers tapping AI skills. Intel said Tuesday it's expanding a program that aims to educate tomorrow's engineers and technologists on the intricacies of artificial intelligence and help them find jobs in their chosen field. The AI for Workforce Program offers students courses on data collection, computer vision, AI model training, coding, the societal impacts and ethics of AI technology. Students who complete the program will be awarded a certificate or associate degree in artificial intelligence. The program began as a collaboration with an Arizona community college but is being expanded to 18 community colleges in 11 states through a partnership with Dell Technologies, which will provide guidance on how best to configure AI labs for teaching in-person, hybrid and online students.


Council Post: Why Business Leaders Should Care About Deep Tech

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Champ Suthipongchai is a General Partner at Creative Ventures, a method-driven venture capital firm based in the San Francisco Bay Area. Among these, only 5% are decacorns, commanding a valuation of $10 billion or more. Unbeknownst to many, one-third of the decacorns are deep tech companies, commanding more than $500 billion in aggregate valuation. They are not always the household names we hear, but they are already among us. Deep tech is nothing new.


It's No Secret That Demand For Smart Homes And Devices Has Gone From Novelty To Necessity. Explore The Flourishing Potentials For The Smart Home Market And The Industries Involved

#artificialintelligence

Do you live in a Smart Home? Can you control your lighting, heating, and electronic devices with nothing more than a smartphone? It's no secret that demand for smart homes and devices has gone from novelty to necessity. Artificial Intelligence (AI) assistants like Siri and Alexa have exploded in popularity and have been accepted into millions of homes. Many consumers have come to not only accept the help of these devices but have come to rely upon them. Can you even begin to imagine life today without social media, smartphones, or GPS systems?


Scania and TuSimple Pilot Self-Driving Trucks in Sweden

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Scania, the Swedish manufacturer of heavy lorries, trucks and buses, is testing L4 level self-driving trucks on the E4 motorway between Södertälje and Jönköping, in collaboration with San Diego-based company TuSimple. Participating truck provides actual commercial services to The Scania Transport Laboratory, loading materials required for production operations. The truck is controlled by the TuSimple's unmanned driving system, with a safety officer and test engineer onboard for monitoring. Scania has been testing self-driving trucks for mining transportation in Australia since 2017. TuSimple has also partnered with companies like Volkswagen and Navistar to test commercial vehicles.


Twitter offers $3,500 'bounty' to users who find algorithmic bias, like cropping out Black people

Daily Mail - Science & tech

Twitter is offering a cash reward to users who can help it weed out bias in its photo-cropping algorithm. The social-media platform announced'bounties' as high as $3,500 as part of this week's DEF CON hacker convention in Las Vegas. 'Finding bias in machine learning models is difficult, and sometimes, companies find out about unintended ethical harms once they've already reached the public,' Rumman Chowdhury and Jutta Williams of Twitter's Machine-Learning, Ethics, Transparency and Accountability (META) project said in a blog post. 'We want to change that.' The challenge was inspired by how researchers and hackers often point out security vulnerabilities to companies, Chowdhury and Williams explained.


Artificial Intelligence Wants You and Your Job

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My wife and I were recently driving in Virginia, amazed yet again that the GPS technology on our phones could guide us through a thicket of highways, around road accidents and toward our precise destination. The artificial intelligence (AI) behind the soothing voice telling us where to turn has replaced passenger-seat navigators, maps, even traffic updates on the radio. How on earth did we survive before this technology arrived in our lives? We survived, of course, but were quite literally lost some of the time. My reverie was interrupted by a toll booth. It was empty, as were all the other booths at this particular toll plaza.


'It's feasible to start a war': how dangerous are ransomware hackers?

The Guardian

They have the sort of names that only teenage boys or aspiring Bond villains would dream up (REvil, Grief, Wizard Spider, Ragnar), they base themselves in countries that do not cooperate with international law enforcement and they don't care whether they attack a hospital or a multinational corporation. Ransomware gangs are suddenly everywhere, seemingly unstoppable – and very successful. In June, meat producer JBS, which supplies over a fifth of all the beef in the US, paid a £7.8m ransom to regain access to its computer systems. The same month, the US's largest national fuel pipeline, Colonial Pipeline, paid £3.1m to ransomware hackers after they locked the company's systems, causing days of fuel shortages and paralysing the east coast. "It was the hardest decision I've made in my 39 years in the energy industry," said a deflated-looking Colonial CEO Joseph Blount in an evidence session before Congress. In July, hackers attacked software firm Kaseya, demanding £50m.


Taking On Tech: Dr. Timnit Gebru Exposes The Underbelly Of Performative Diversity In The Tech Industry

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SAN FRANCISCO, CA - SEPTEMBER 07: Google AI Research Scientist Timnit Gebru speaks onstage during ... [ ] Day 3 of TechCrunch Disrupt SF 2018 at Moscone Center on September 7, 2018 in San Francisco, California. 'Taking On Tech is an informative series that explores artificial intelligence, data science, algorithms, and mass censorship. In this inaugural report, For(bes) The Culture kicks things off with Dr. Timnit Gebru, a former researcher and co-lead of Google's Ethical AI team. When Gebru was forced out of Google after refusing to retract a research paper that was already cleared by Google's internal review process, a conversation about the tech industry's inherent diversity problem resurfaced. The paper raised concerns on algorithmic bias in machine learning and the latent perils that AI presents for marginalized communities. Around 1,500 Google employees signed a letter in protest, calling for accountability and answers over her unethical firing.


Velodyne Lidar Introduces Vella Development Kit for Building Autonomous Solutions

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SAN JOSE, Calif., July 29, 2021--(BUSINESS WIRE)--Velodyne Lidar, Inc. (Nasdaq: VLDR, VLDRW) today announced a new software development kit which allows customers to utilize the advanced capabilities of Velodyne's Vella lidar perception software in their autonomous solutions. The Vella Development Kit (VDK) enables companies to accelerate time to market for bringing cutting-edge lidar capabilities to autonomous vehicles, advanced driver assistance systems (ADAS), mobile delivery devices, industrial robotics, drones and more. This press release features multimedia. The Vella Development Kit (VDK) from Velodyne Lidar allows customers to use the advanced capabilities of Vella lidar perception software in autonomous solutions. VDK enables companies to accelerate time to market for bringing cutting-edge lidar capabilities to autonomous vehicles, advanced driver assistance systems (ADAS), mobile delivery devices, industrial robotics, drones and more.