Why use Python for AI and Machine Learning?


Python has been appreciated for its relentless ascent to distinction over recent years. Supported for applications going from web advancement to scripting and procedure mechanization, Python is rapidly turning into the top decision among engineers for AI, ML, and profound learning ventures. Computer-based intelligence or artificial intelligence has created a universe of chances for application engineers. Computer-based information permits Spotify to prescribe artisans and melodies to clients, or Netflix to comprehend what shows you'll need to see straight away. It is additionally utilized widely by organizations in client assistance to drive self-administration and improve work processes and worker efficiency.

Mozilla DeepSpeech Gets Smaller


The latest release, version v0.6, comes with support for TensorFlow Lite, the version of TensorFlow that's optimized for mobile and embedded devices. This has reduced the DeepSpeech package size from 98 MB to 3.7 MB, and cut the English model size from 188 MB to 47 MB. The developers achieved the cut using post-training quantization, a technique to compress model weights after training is done.

This Technique Uses AI to Fool Other AIs


Artificial intelligence has made big strides recently in understanding language, but it can still suffer from an alarming, and potentially dangerous, kind of algorithmic myopia. Research shows how AI programs that parse and analyze text can be confused and deceived by carefully crafted phrases. A sentence that seems straightforward to you or me may have a strange ability to deceive an AI algorithm. That's a problem as text-mining AI programs increasingly are used to judge job applicants, assess medical claims, or process legal documents. Strategic changes to a handful of words could let fake news evade an AI detector; thwart AI algorithms that hunt for signs of insider trading; or trigger higher payouts from health insurance claims.

Tech News: How Artificial Intelligence Can Solve America's Traffic Problems


Sitting at a clogged intersection, have you ever questioned how long the traffic systems have been around for? Sure, you probably have. The "modern" three-signal traffic light system was created in 1920 by a Detroit police officer and it has pretty much remained the same since--bigger, of course, but still basically the same. Digesting that information probably makes you wonder. Especially since there is a good chance you are sitting in a car that can keep your speed constant, brake for you, change lanes for you, sense your blind spots, provide directions, let you know something is wrong with the engine and, someday soon, can even periodically take over some of the driving for you. We are constantly being told how close we are to the largest transformation in the auto industry in history, yet the traffic management industry is still stuck in 1920.

The Case Against AI, UX, And Coding Bootcamps


By the year 2028, the technology industry will predictably experience a 21% rise in demand for software engineering talent, compared to a 5% growth rate for all other occupations. Traditional universities, scrambling to keep pace, have readjusted their curricula and spun up new concentrations, degrees, and certificate programs to close the skills gap. However, the efforts of conventional education players won't be enough to address the widening hole of talent. Opportunistically, around 2011, the industry responded. Instead of attending a 4-year university or 2-year graduate program to acquire relevant technical skills, a student could sign-up for an intensive bootcamp that promised a compressed path to learning (3-6 months), guaranteed job placement, and accelerated career ambitions. In many ways, this model paid dividends for tech industry hopefuls. Scores of bootcamps boast placements rates in the high 90% and possess a feverish dedication to student-focused growth and development. However, not all bootcamps are alike. Copycats, scam artists, and unethical actors have created bootcamps selling nothing more than debt, headache, and self-doubt.

Elon Musk calls for regulations on artificial intelligence


Elon Musk is calling for regulation on organizations developing advanced artificial intelligence, including his companies. The Tesla and SpaceX head tweeting earlier this week, "All orgs developing advanced AI should be regulated, including Tesla." Musk was, according to TechCrunch, "responding to a new MIT Technology Review profile of OpenAI, an organization founded in 2015 by Musk, along with Sam Altman, Ilya Sutskever, Greg Brockman, Wojciech Zaremba and John Schulman. Since 2015, Musk has distanced himself from OpenAI and openly criticized it. In a twitter conversation about the group last year, Musk tweeted, "Unfortunately, I must agree that these are reasonable concerns" when user @Smerity asked, "What is OpenAI?

Oliver Letwin, the unlikely merchant of technological doom

The Guardian

Oliver Letwin's strange and somewhat alarming new book begins at midnight on Thursday 31 December 2037. In Swindon – stay with me! – a man called Aameen Patel is working the graveyard shift at Highways England's traffic HQ when his computer screen goes blank, and the room is plunged into darkness. He tries to report these things to his superiors, but can get no signal on his mobile. Looking at the motorway from the viewing window by his desk, he observes, not an orderly stream of traffic, but a dramatic pile-up of crashed cars and lorries – at which point he realises something is seriously amiss. In the Britain of 2037, everything, or almost everything, is controlled by 7G wireless technology, from the national grid to the traffic (not only are cars driverless; a vehicle cannot even join a motorway without logging into an "on-route guidance system"). There is, then, only one possible explanation: the entire 7G network must have gone down. It sounds like I'm describing a novel – and it's true that Aameen Patel will soon be joined by another fictional creation in the form of Bill Donoghue, who works at the Bank of England, and whose job it will be to tell the prime minister that the country is about to pay a heavy price for its cashless economy, given that even essential purchases will not be possible until the network is back up (Bill's mother-in-law is also one of thousands of vulnerable people whose carers will soon be unable to get to them, the batteries in their electric cars having gone flat).

Banking for Humanity: Technology to Increase the Human Touch


Banks have been struggling with the concept of being more personal with their customers. 'Banking for Humanity', a concept explored by fintech guru Chris Skinner, is considered as a remedy for this; with new banking technology innovation spearheading the way for banks to adopt a human touch and be more empathetic. Chris Skinner stated that the concept is about "how banks can make their services more human". According to Skinner, there are five primary aspects for discovering Banking for Humanity: financial literacy, financial inclusion, financial wellness, financial capabilities for the vulnerable, and promoting sustainability. However, with the aftermath of the financial crisis earlier in the century, lack of confidence and trust is prevalent amongst customers.

8 Best Edureka Online Masters Programs JA Directives


Are you looking for the best online masters programs? Here is the list of the Best Edureka Online Masters Programs will make you proficient in tools, systems, and skills required to build specific professional expertise like Data Scientist, DevOps Engineers, Big Data Architect, Could Architect, Full Stack Web Development, Business Intelligence, Data Analyst or as a Machine Learning expert. According to Edureka, they stand by you all the way to ensure that you achieve your learning goals. Edureka provides instructor-led Live Online Classes as per your convenience. You will have a Personal Learning Manager with Lifetime Access in your enrolled courses.

MEERA New Open Source Machine Learning Bot Works with NLP


Every Marvel fan must have at some point of time in his fandom read or watched Ironman and wish if he had Jarvis at his disposal. I went through the same crisis once and that is where it all began. I started exploring how feasible developing my own Virtual Assistant was, and that is how MEERA was born. MEERA stands for Multifunctional Event-driven Expert in Real-time Assistance. It started as a general purpose scalable virtual assistant backed by the mystic power of machine learning and artificial intelligence.