Collaborating Authors


The role played by Artificial Intelligence in social sector -


Artificial intelligence is already impacting our lives. And the use of AI for social functioning is on an all-time high. Be it getting riding directions through our smartphone or getting daily reminders by using our health system to extend our workouts; all these are manifestations of how artificial talent is altering the way we function. What is often much less understood is the vast function synthetic brain can play in the social sector. The Artificial Intelligence for social good can probably assist in solving some of the country's most pressing problems. As a count number of facts, it can contribute in some way or every other to tackling and addressing all of the United Nation's Sustainable Development Goals, supporting large sections of the populace in both growing and developed countries. AI is already helping in several real-life situations, from assisting blind humans in navigating and diagnosing cancer to identify sexual harassment victims and helping with catastrophe relief. Let us take a look briefly at integral social domains where AI can be carried out effectively.

Report: Warehouse robotics investment surges 57% in 2020 - FreightWaves


Investment in warehouse robotics technology startups clocked in at $381 million in the first quarter of 2020, up 57% from the same period in 2019. The study examines venture capital (VC) investment levels, trends, new business models and notable startups within last-mile delivery, freight, warehousing and enterprise supply chain management. While warehouse robotics investment exploded during this period, overall investment in supply chain tech declined in the first quarter of 2020. Supply chain technology companies raised $1 billion in VC across 59 deals in North America and Europe, a decline from $1.4 billion in Q1 2019. The PitchBook report comes one month after the firm conducted a survey in partnership with last month's Collision From Home conference examining investor sentiment toward technology in a post-COVID-19 world.

Investing in AI: Unlocking Profitable Machine Learning with Experiment Management


We live in an age of rapid AI innovation and progress. Yet even as academics and researchers make astonishing advancements, demonstrating real business value and positive return on investment is challenging. Developing cutting edge AI applications based on machine learning models integrated with existing business software is a common challenge. This article discusses a few of the core pain points and strategies to address them. The first challenge most organizations encounter is the increased complexity of preparing data and dataset management.

TechFind: Tech News,AI,ML,IoT,Science,Gaming &more - Apps on Google Play


TechFind is the best tech news app (technology news app) to get all the breaking technology news on your phone. TechFind is the best tech news app provides all the latest news, tech trends, stories, articles, research papers, tutorials, podcasts or videos on various trending topics and technologies like Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Science, Gaming, Startup, Entrepreneurship & more from around the world. Latest Tech News: TechFind tech news app brings all the latest technology news from around the world from multiple popular tech news sources. Everything about technology in one place. One of the best technology news apps. Artificial Intelligence (AI): TechFind brings everything about Artificial Intelligence (popularly AI) in the app from various top sources. It brings research articles, product news, reviews, tutorials, progress & more. Best Artificial Intelligence app. Machine Learning (ML): TechFind collects all the information, news, articles, tutorials, algorithms, research papers, models, ML books & more on Machine Learning (popularly ML) from various sources around the globe. One of the best Machine Learning App. Internet of Things (IoT): Get everything about Internet of Things on TechFind - the best technology news app. IoT app, products, news, reviews, inventions and more. Science: Stay informed with the latest Science news, inventions, research, study results and more on TechFind - best technology news app. Gaming: Get all the latest news and info about all the trending & upcoming games & more only on TechFind the best technology news app. Startups & Entrepreneurs: Know more about all the latest technology startups, tech companies, products, entrepreneurs - TechFind the best tech news app. Key Features: 🔥 Search for easier access to any kind of information & news 🔥 Share news on Whatsapp, Facebook, Twitter, Reddit, Instagram, Gmail, TikTok & more social media platforms 🔥 Dark Mode/Night Mode for protecting your eyes while reading news 🔥 Offline reading of tech news stories & articles is supported by TechFind - Tech News app 🔥 Save the news story in Liked ♥ to read it later 🔥 Important Notifications of the latest news, technology updates, trending topics & stories 🔥 Easy to navigate within the vast variety of tech news categories, simply swipe left or right to read the next news article 🔥 Add custom sources of Technology, AI, ML, IoT, Gaming, Science, Tech, Startup, Entrepreneurship & more of your choice Our News Sources: The Verge, Engadget, TechCrunch, c|net, AWS ML Blog, IBM Blog, Intel Blog, BigML, AI Trends, ScienceAlert, ScienceDaily, Techmeme, Chatbot Life, Forbes, Machine Learning Mastery, MIT News, Indico, IoT Now, IoT for All, Discover, Xbox, Eurogamer, IGN Video Games, Game Informer, GamersHeroes, EU-Startups, Killer Startups, Wall Street Journal Tech, Daily Tech & many more. Dear Users and Team Google, Our App features tech news articles in an organized and user-friendly form as it comes from the sources. This app contains links to other sites. If you click on a third-party link or any other links, you will be directed to that site. Note that these external sites are not operated by us. Therefore, We strongly advise you to review the Privacy Policy of these websites. We have no control over and assume no responsibility for the content, privacy policies, payments, subscription fees, charges or practices of any third-party sites or services. We are not asking for any kind of payments from our users through any third-party payment services. We only use Google Payment Service if needed in this App. 📧 If any query contact us: Thank you for your Support, Trust & Love ♥ that encourage us to work hard to deliver you the best. Please Share this technology news app with others.

Software Has To Lead Hardware In The AI Dance


A lot of the people who are working at the many AI chip startups have a long history in processor development in the datacenter, and that is certainly true of the folks who founded SambaNova Systems. And this is a fortunate thing because these people can leverage some of the good ideas they know worked when commercializing a new technology and avoid some of the big mistakes their former employers sometimes made. At our recent The Next AI Platform event, we sat down with Rodrigo Liang, co-founder and chief executive officer of SambaNova Systems, which is one of the upstart custom AI chip producers vying for attention and budget dollars. SambaNova was founded in 2017 by a bunch of ex-Sun Microsystems techies as well as a few from Stanford University, which is of course where Sun itself was born in 1982. The co-founders include Kunle Olukotun and Chris Ré, professors at Stanford, with Olukotun being the leader of the Hydra chip multiprocessor research project and sometimes known as the father of the multicore processor.

Don't Forget what 'Deep' & 'Learning' Actually Mean


Think critically about whether you need to apply deep-learning to your datasets. Deep Learning, one of the "hottest" things in AI, has a way of seeping into popular culture as this mysterious, software that can make seemingly amazing classifications at human-level accuracy in Computer Vision, speech recognition, or play games like Go, recommend our favorite movies, and the like. But deep learning has crucial pitfalls, when it drives cars that sadly, more than once, have injured or killed their drivers or pedestrians because of silly image-recognition mistakes. Or, when deep learning is used for face-recognition ––something that clearly has adverse effects on people of color, LGBT, and other marginalized groups –– and if deep learning's face-prediction is used by institutions of power with a history of racism, LGBT-phobia, and tossed back and forth between private companies and governments –– deep-learning's pitfalls become frighteningly magnified. Another example is when Facebook's deep-learning neural translation machine led to the illegal arrest of a Palestinian man because of a post he made, at the end of 2017.

This month in AWS Machine Learning: July 2020 edition -- #ArtificialIntelligence #StartUp #iot #robotics #AI


Every day there is something new going on in the world of AWS Machine Learning--from launches to new use cases like posture detection to interactive trainings like the AWS Power Hour: Machine Learning on Twitch. Check back at the end of each month for the latest roundup. As models become more sophisticated, AWS customers are increasingly applying machine learning (ML) prediction to video content, whether that's in media and entertainment, autonomous driving, or more. Want more news about developments in ML? Check out the following stories: Also, if you missed it, see the Amazon Augmented AI (Amazon A2I) Tech Talk to learn how you can implement human reviews to review your ML predictions from Amazon Textract, Amazon Rekognition, Amazon Comprehend, Amazon SageMaker, and other AWS AI/ ML services. See you next month for more on AWS ML! Laura Jones is a product marketing lead for AWS AI/ML where she focuses on sharing the stories of AWS's customers and educating organizations on the impact of machine learning.

SVB study: Industry 4.0 advances, but manufacturing jobs at risk


Silicon Valley Bank, which has helped fund more than 30,000 startups, yesterday released a report on "The Future of Robotics: An Inside View on Innovation in Robotics." It described trends in production, business models, and the adoption of robotics reflecting the increasing maturity of Industry 4.0. The report also addressed concerns about automation displacing jobs and public-policy reactions. Overall, the free Silicon Valley Bank (SVB) report (download PDF) was cautiously optimistic about the prospects for industrial automation. It cited rising U.S. productivity, maturing technologies and suppliers supporting a variety of applications, and a steady climb for robotics deployments, particularly in Asia.

The Hummer EV is shaping up to be GM's electric answer to the Ford Bronco and Tesla Cybertruck -- #ArtificialIntelligence #StartUp #iot #robotics #AI


The video below contains the first glimpse at the upcoming electric GMC Hummer. The preview video is short, full of nonsense buzzwords, but still telling. It's clear GM identified two main competitors against the upcoming Hummer: The Ford Bronco and Tesla Cybertruck. The Hummer EV was announced pre-COVID 19 during the Super Bowl. At the time, GM promised it would feature 1,000 HP from the electric powertrain.

Anthony Levandowski Asks a Judge Not to Send Him to Prison


The federal government on Tuesday asked a federal judge to sentence Anthony Levandowski to 27 months in prison for theft of trade secrets. In March, Levandowski pleaded guilty to stealing a single confidential document related to Google's self-driving technology on his way out the door to his new startup. That startup was quickly acquired by Uber, triggering a titanic legal battle between the companies that was settled in 2018. This story originally appeared on Ars Technica, a trusted source for technology news, tech policy analysis, reviews, and more. Ars is owned by WIRED's parent company, Condé Nast.