Artificial intelligence and machine learning are currently affecting our lives in many small but impactful ways. For example, AI and machine learning applications recommend entertainment we might enjoy through streaming services such as Netflix and Spotify. In the near future, it's predicted that these technologies will have an even larger impact on society through activities such as driving fully autonomous vehicles, enabling complex scientific research and facilitating medical discoveries. But the computers used for AI and machine learning demand a lot of energy. Currently, the need for computing power related to these technologies is doubling roughly every three to four months.
We began to speak and we learnt to express. We began to get curious, and we uncovered the mysteries of the universe. We climbed the food chain, we proclaimed our superiority. But some thirsts are insatiable. To match our own intelligence and surpass the pace, we crafted Artificial Intelligence. From self-driving cars to smart voice assistants, face recognition to endless Newsfeed at Facebook, AI defeating former Go champion Lee Se-dol to Netflix movie recommendations; we have awed in the possibilities of AI.
There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. From indigenous people addressing the lack of reliable data, to smart city stakeholders, to students protesting the academic relationships with sex trafficker and MIT donor Jeffery Epstein, the questionable ethics and values of those heavily investing in and profiting from AI are under global scrutiny. There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.
New computing technologies have facilitated a flurry of new stimuli in our daily lives. Everything from self-driving cars, to Netflix movie recommendations and fraud detection to shopping recommendations, embody the essence of machine learning. Machine Learning (ML), one of the mainstays of Information Technology (IT), can be defined as a subset of Artificial Intelligence. They are a powerful set of algorithm and model which gives computers the ability to learn without being programmed. Machine learning is being extensively used across diverse industries to gain business-critical insights to solve business problems.
In the US, today is Inauguration Day, and as Joe Biden prepares to take the oath as our 46th president, it's worth taking a look back at the discussions four years ago. Back then, the "most tech-savvy" president exited as all eyes turned to Donald Trump trading in his Android Twitter machine for a secure device. We know how things went after that. Donald Trump isn't tweeting anymore (at least not from his main accounts), and the country is struggling through a pandemic. The outgoing president just saw his temporary YouTube ban extended and, in one of his last official acts, pardoned Anthony Levandowski for stealing self-driving car secrets from Google's subsidiary Waymo.
You may even be using one to read this article. Wi-Fi has become essential to our personal and professional lives. The smartphone and the internet we use today wouldn't have been possible without wireless communication technologies such as Wi-Fi. In 1995 if you wanted to "surf" the internet at home, you had to chain yourself to a network cable like it was an extension cord. In 1997, Wi-Fi was invented and released for consumer use.
Alphabet is using its dominance in the search and advertising spaces -- and its massive size -- to find its next billion-dollar business. From healthcare to smart cities to banking, here are 10 industries the tech giant is targeting. With growing threats from its big tech peers Microsoft, Apple, and Amazon, Alphabet's drive to disrupt has become more urgent than ever before. The conglomerate is leveraging the power of its first moats -- search and advertising -- and its massive scale to find its next billion-dollar businesses. To protect its current profits and grow more broadly, Alphabet is edging its way into industries adjacent to the ones where it has already found success and entering new spaces entirely to find opportunities for disruption. Evidence of Alphabet's efforts is showing up in several major industries. For example, the company is using artificial intelligence to understand the causes of diseases like diabetes and cancer and how to treat them. Those learnings feed into community health projects that serve the public, and also help Alphabet's effort to build smart cities. Elsewhere, Alphabet is using its scale to build a better virtual assistant and own the consumer electronics software layer. It's also leveraging that scale to build a new kind of Google Pay-operated checking account. In this report, we examine how Alphabet and its subsidiaries are currently working to disrupt 10 major industries -- from electronics to healthcare to transportation to banking -- and what else might be on the horizon. Within the world of consumer electronics, Alphabet has already found dominance with one product: Android. Mobile operating system market share globally is controlled by the Linux-based OS that Google acquired in 2005 to fend off Microsoft and Windows Mobile. Today, however, Alphabet's consumer electronics strategy is being driven by its work in artificial intelligence. Google is building some of its own hardware under the Made by Google line -- including the Pixel smartphone, the Chromebook, and the Google Home -- but the company is doing more important work on hardware-agnostic software products like Google Assistant (which is even available on iOS).
The world never changes quite the way you expect. But at The Verge, we've had a front-row seat while technology has permeated every aspect of our lives over the past decade. Some of the resulting moments -- and gadgets -- arguably defined the decade and the world we live in now. But others we ate up with popcorn in hand, marveling at just how incredibly hard they flopped. This is the decade we learned that crowdfunded gadgets can be utter disasters, even if they don't outright steal your hard-earned cash. It's the decade of wearables, tablets, drones and burning batteries, and of ridiculous valuations for companies that were really good at hiding how little they actually had to offer. Here are 84 things that died hard, often hilariously, to bring us where we are today. Everyone was confused by Google's Nexus Q when it debuted in 2012, including The Verge -- which is probably why the bowling ball of a media streamer crashed and burned before it even came to market.
A self-driving car approaches a stop sign, but instead of slowing down, it accelerates into the busy intersection. An accident report later reveals that four small rectangles had been stuck to the face of the sign. These fooled the car's onboard artificial intelligence (AI) into misreading the word'stop' as'speed limit 45'. There are instances of deceiving facial recognition systems by sticking a printed pattern on glasses or hats and tricking speech recognition systems using white noise. AI is part of daily life, running everything from automated telephone systems to user recommendations on the streaming service Netflix.
Apple CEO Steve Jobs unveils the iPad on January 27, 2010, in San Francisco. When I hustled out of CNET headquarters in San Francisco on May 26, 2010, and slipped into a rental car with two of my co-workers to head to a meeting across the Bay, one of them slipped me a copy of The Wall Street Journal and pointed to a headline that announced Apple had passed Microsoft to become the world's most valuable tech company. "What do you think of that?" she said. "Unreal," I responded, shaking my head. Just over a decade earlier, Apple had nearly been on its deathbed and needed a $150 million investment from Microsoft simply to stay alive.