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Top 5 smart personal home robots you can buy in 2022

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Robots are not limited to industrial works anymore! Thanks to the integration of artificial intelligence and voice recognition, robots are slowly invading our smart homes embedded with devices like wireless security cameras, Smart TVs, Amazon's Alexa, Amazon Echo, Google Assistant, Philips Hue lightbulbs, Ecobee4, etc. And it is not a secret that machine learning software development is on rise now. A lot of clients are coming to develop personalized ML solutions for their businesses. ABI Research predicts that this integration will grow, and by 2024 that over 79 million homes in the world will have a robot in the house.


An AI-Based Approach to Monitor, Expose, and Counter Anti-Hindu Hate

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MyIndMakers enables the exchange of Global Ideas and Solutions from India. All day news updates related to Business, Hindu, Hinduism, India, Indic, Culture, Travel, Religion, Politics, Foreign Policy, Modi, Swami, BJP, Congress, Trump, Biden, Israel, Jihad, Christianity, China, Japan, Book Reviews, Movie Reviews, Indian Artciles, Blogs, Interviews, Podcasts, Videos, MyIndBook, MyIndMakers, myind.net,Hindumisia, hindumisia.ai, AI-based approach, Deep Learning, Anti-Defamation League, Online Hate Index


A Deeper Understanding of Deep Learning

Communications of the ACM

Deep learning should not work as well as it seems to: according to traditional statistics and machine learning, any analysis that has too many adjustable parameters will overfit noisy training data, and then fail when faced with novel test data. In clear violation of this principle, modern neural networks often use vastly more parameters than data points, but they nonetheless generalize to new data quite well. The shaky theoretical basis for generalization has been noted for many years. One proposal was that neural networks implicitly perform some sort of regularization--a statistical tool that penalizes the use of extra parameters. Yet efforts to formally characterize such an "implicit bias" toward smoother solutions have failed, said Roi Livni, an advanced lecturer in the department of electrical engineering of Israel's Tel Aviv University.


Israeli firm hopes AI can curb drownings

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The programme, developed by a company called SightBit, uses information collected from surveillance cameras to determine who is in the water -- an adult or child, for example -- if they are moving or limp, and the current's movement at that location. If a threat is determined, the programme sends an alert to a tablet held by the user -- a lifeguard, in this case -- with urgent instructions to act. SightBit's chief executive Netanel Eliav told AFP that he developed the technology after identifying a shortfall in how closed-circuit footage was being applied to boost safety in the water. The programme has been in use for more than a year in Ashdod, a city on Israel's Mediterranean coast that chose to deploy SightBit technology in an area at a distance from the nearest lifeguard. "We chose to locate the technology in areas away from the lifeguard towers, so the additional'eyes' there help the lifeguards very much," said Arie Turjeman, director of Ashdod's coast division.


Here's how AI, computer vision will change driving - EcoMotion 2022

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Earlier this month, the EcoMotion 2022 conference took place, where companies and experts from across the automotive technology industry gathered to showcase the latest innovations defining the sector. Autonomous vehicles were also present at the conference, with new technologies showcased by companies such as the driving system verification platform Foretellix. The company's platform is used by companies like Volvo, MobilEye and Amazon Web Services to verify the safety and viability of the software used to direct Autonomous Vehicles and Advanced Driver-Assistance Systems. The company recently closed a $32m investment round, with its overall capital raised reaching $50m since it was established in 2018. The Renault-Nissan-Mitsubishi Innovation Lab in Tel Aviv was present at the conference, looking for the latest innovations to utilize in future cars and services offered by the alliance members' companies. The lab's mission statement is to advance state-of-the-art mobility, with the main focus on vision sensors, cybersecurity, EV and data & AI.


$35 Million In New Funding For AI To Personalize Cancer Treatment

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Israeli startup OncoHost announced today an upsized and oversubscribed $35 million Series C funding round, led by ALIVE Israel HealthTech VC, with the participation of Leumi Partners, Menora Mivtachim, OurCrowd and other existing investors. Clinical trial results have shown OncoHost's AI-powered precision oncology platform to have remarkably high accuracy in assessing non-small cell lung cancer (NSCLC) patient response at three months, six months and one year. Through one blood test pre-treatment, the company's multi-patented platform also provides clinicians with potential combination strategies to overcome treatment resistance. Last year, OncoHost CEO Dr. Ofer Sharon told me that "For immunotherapy, the most important treatment modality we have today, the response rate on average across all cancer types is about 20%. With all the promise of immunotherapy, if you have ten patients waiting in your waiting room with advanced cancer, only two will be alive in two years."


Business intelligence firm Pyramid Analytics raises $120M – TechCrunch

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Business intelligence is an increasingly well-funded category in the software-as-a-service market. By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop and otherwise create new revenue opportunities. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy. The big data and business analytics market could be worth $684 billion by 2030, according to Valuates Reports, if such outrageously high estimates are to be believed. The segment contains too many vendors to count -- a few include Noogata, Fractal Analytics, Tredence, LatentView and Mu Sigma.


A Product Manager's 600-Word Guide to Machine Learning

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Machine learning (ML) is a technology or field of computer science that learns from historical data to make accurate predictions or decisions. This could be looking at the purchasing patterns of a buyer and recommending products to a similar buyer. Or, this could be analyzing weather data to predict what the weather would be like on a particular day. There is no magic here. To make things easier, imagine you're at a coffee shop with your closest friend. The barista asks your friend what kind of coffee they want.


How AI and video are redefining talent recruitment

#artificialintelligence

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. While there's a vast amount of data available for HR and talent analytics today, most organizations are still not reaping the benefits of their analytics investments. Gartner reports that just 21% of HR leaders use data to "shape talent acquisition and recruiting strategies, improve employee engagement and inform other business decisions." As the report notes, more data doesn't necessarily mean more action. However, Myinterview -- an Israel-based company that aims to enable hiring managers to leverage video for pre-screening candidates at scale -- says it has developed a platform that captures, plays and interprets videos generated from candidates who respond to pre-determined questions.


'Right to be forgotten': Israel firm promises to purge digital footprint – Al-Monitor

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The company Mine, co-founded by Gal Ringel, Gal Golan and Kobi Nissan, says it uses artificial intelligence to show users where their information …