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Everything you need to remember ahead of 'Never Have I Ever' Season 3

Mashable

Never have we ever...remembered exactly what happened last season when a TV series is set to drop a brand new chapter, even if we love it with all our hearts. Yes, we're specifically referring to Mindy Kaling's teen smash Never Have I Ever, which is returning to Netflix for Season 3 on Aug. 12. Who got together with who -- did Devi Vishwakumar pick Ben Gross or Paxton Hall-Yoshida or no one? Why was Kamala pretending to like BLACKPINK and video games at work? What happened at the dance again?


Radical AI podcast: featuring Shion Guha

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 Shion Guha about the government and AI. How does the government use algorithms? How do algorithms impact social services, policing, and other social services? And where does Silicon Valley fit in?


This Week in AI - Issue #20

#artificialintelligence

Eager to learn how to build Deep Learning systems using Tensorflow 2 and Python? Get our'Deep Learning for Programmers' ebook here! This site uses Akismet to reduce spam. Learn how your comment data is processed. From Python and Math basics to Neural Networks and MLOps - Become ML Superhero!


Focus group seeks to guide quality of AI adoption - RAD Magazine

#artificialintelligence

AXREM is the UK trade association representing the interests of suppliers of diagnostic medical imaging, radiotherapy, healthcare IT and care equipment in the UK. The group has formed the AXREM AI SFG (special focus group) to promote the adoption of beneficial AI technology and to identify and seek to overcome hurdles to adoption encountered by suppliers. Most recent AI solutions are based on a process of deep learning in which an artificial neural network is presented with annotated examples of a particular kind of pathology and gradually learns to recognise what that pathology looks like. This process is data dependent, and so the work of data scientists and curators is as important as the AI scientists and software engineers who develop the actual algorithms. A key part of developing safe and reliable AI solutions is the use of a representative dataset while performing the AI training.


K-nearest Neighbors in Scikit-learn - KDnuggets

#artificialintelligence

K-nearest neighbors (KNN) is a type of supervised learning machine learning algorithm and can be used for both regression and classification tasks. A supervised machine learning algorithm is dependent on labeled input data which the algorithm learns on and uses its learnt knowledge to produce accurate outputs when unlabeled data is inputted. The use of KNN is to make predictions on the test data set based on the characteristics (labeled data) of the training data. The method used to make these predictions is by calculating the distance between the test data and training data, assuming that similar characteristics or attributes of the data points exist within close proximity. It allows us to identify and assign the category of the new data whilst taking into consideration its characteristics based on learned data points from the training data.


The big idea: are we living in a simulation?

The Guardian

Elon Musk thinks you don't exist. But it's nothing personal: he thinks he doesn't exist either. Instead we are just immaterial software constructs running on a gigantic alien computer simulation. Musk has stated that the odds are billions to one that we are actually living in "base reality", ie the physical universe. At the end of last year, he responded to a tweet about the anniversary of the crude tennis video game Pong (1972) by writing: "49 years later, games are photo-realistic 3D worlds. What does that trend continuing imply about our reality?"


Tesla's Cybertruck will be more expensive than expected

ZDNet

Tesla's Cybertruck is scheduled to go into mass production in mid-2023 but it will be more expensive than the starting price revealed in 2019, according to Tesla CEO Elon Musk. Speaking to enthusiastic shareholders at Tesla's annual shareholder meeting, Musk said specs and pricing of the Cybertruck will be different because of inflation. Musk unveiled the Cybertruck in November 2019 with a starting price of $39,990. "A lot has changed since then, so the specs and pricing will be different," said Musk. "I hate to give a little bit of bad news but there's no way to have anticipated quite the inflation that we've seen and various issues. But what I can tell you is that the Cybertruck is gonna be one hell of a product and it's gonna be like a damn fine machine."


The Morning After: Amazon buys the company behind Roomba robot vacuums

Engadget

Amazon made a $1.7 billion offer for iRobot, the company that makes Roomba robot vacuums, mops and other household robots. The deal will keep Colin Angle as iRobot's CEO but is still contingent on the approval of regulators and iRobot shareholders. Founded in 1990 by MIT researchers, the company initially focused on military robots like PackBot. It marked a major turning point in 2002 when it unveiled the first Roomba -- the debut robovac racked up sales of a million units by 2004. The company eventually bowed out of the military business in 2016.


La veille de la cybersécurité

#artificialintelligence

I's strength lies in its predictive prowess. Fed enough data, the conventional thinking goes, a machine learning algorithm can predict just about anything -- for example, which word will appear next in a sentence. Given that potential, it's not surprising that enterprising investment firms have looked to leverage AI to inform their decision-making. There's certainly plenty of data that one might use to train an AI-powered due diligence or investment recommendation tool, including sources like LinkedIn, PitchBook, Crunchbase, Owler and other third-party data marketplaces. With it, AI-driven financial research platforms claim to be able to predict the ability of a startup to attract investments, and there might be some truth to this.


The Future of Artificial Intelligence

#artificialintelligence

"In general it is very difficult to build AI that works well for the kinds or kind groups we want it," Ries says in an interview with Fast Company. "There are many cases where you need really specific decisions made about how machine learning should operate." This might be true if there's just one particular group getting trained; but given enough time period machines can figure out what sort people like more, humans will eventually adapt better than any social agents could ever create (not to mention predict when they'll find something useful). Artificial intelligence (AI) is defined as machine learning. Machine Learning is a field in artificial intelligence that involves using computer programs to teach computers how to learn without being explicitly programmed.