As a species, we've been conversing for half a million years. In the course of that time, we've learned not only to speak and to listen, but also extract the actual meaning behind what's been said. We evolved to grasp the tiniest emotional, cultural and contextual hints that are codified into our pronunciation, intonation and articulation. The acoustic elements of speech sounds from our unique voices, are just peanuts compared to the variation in our manners of speaking: our choice of words and jargon -- using elements such as jokes, figures of speech, telling stories, asking questions, apologising; everything that reflects our personalities. Human intelligence includes the unique skill of cooperation.

It is simply looking at where things happen to understand why they happen there. Geospatial Data Science is the discipline that specifically focuses on the spatial component of data science. Spatial Analysis is considered as a core infrastructure of the modern tech industry and is heavily substantiated by the business transactions of world-leading companies such as Uber, Deliveroo, Apple, Google, Intel, and evidently by the motor companies such as Tesla, BMW, and Mercedes. So, these companies are bound to hire more and more Spatial Data Analysts and Geo-Spatial Scientists. Based on these business trends, we've compiled the spatial analysis courses designed by world-class educators to help beginners gain solid foundations of spatial data analysis.

Let me begin with a disclaimer. I am no expert in Australian law. However, it seems to me that the Australian Federal Court (FCA) has made a series of missteps in the DABUS case (Thaler v Commissioner of Patents [2021] FCA 879) that led it to conclude that an AI-driven system can be an inventor. As similar DABUS cases are currently pending before the European Patent Office and the UK Court of Appeal and a number of companies employ AI in their inventive endeavours, I find it relevant to discuss the FCA's argumentation. DABUS is an AI-driven system which is currently on a world tour of courts and patent offices with the claim to have invented the following subject matter: food container and devices and methods for attracting enhanced attention.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. ContractPodAI, an AI-powered contract management solution provider, today announced that it raised $115 million in a series C investment led by SoftBank Vision Fund 2 at "five times" its valuation compared with July 2019. The round, which saw participation from Eagle Proprietary Investments, will be put toward product growth and expanding ContractPodAI's presence internationally, leveraging SoftBank's Asia-Pacific network. Almost every business function relies on legal involvement or expertise. Despite its importance, legal has been one of the last functions to adopt digitization.

In order to continue our impressive track record in setting global technological standards, it is important we ensure American small and medium-sized businesses have a seat at the table. Many of most remarkable AI technological breakthroughs are being developed by smaller innovators who simply do not have the financial resources of a CCP-backed megacorporation. Accordingly, we are proud to have introduced the Leadership in Global Tech Standards Act of 2021, legislation that would provide small businesses throughout the country with the financial backing they need to participate in setting global AI standards. This bipartisan legislation, which is also being co-sponsored by Reps. Jason CrowJason CrowOvernight Defense & National Security -- Presented by AM General -- Afghan evacuation still frustrates Bipartisan momentum builds for war on terror memorial Democrats face full legislative plate and rising tensions MORE (D-Colo.) and Jerry McNerneyGerlad (Jerry) Mark McNerneyHouse passes host of bills to strengthen cybersecurity in wake of attacks In defense of misinformation House Democrats want to silence opposing views, not'fake news' MORE (D-Calif.),

CEIPAL, an industry-leading talent management platform, will be showcasing some of its latest advances in talent acquisition and recruitment CRM technology at ITServe Alliance's Synergy Conference 2021. The annual conference for IT & business transformation is being held September 30 - October 1 in Dallas. At the event, technology and industry leaders will discuss the challenges around business growth, trends and innovations in technology, and understanding immigration laws. Attendees can learn about CEIPAL's complete talent management ecosystem which improves recruiting, increases new hires, and offers easy workforce management. Those who are not attending can request a personalized demo of CEIPAL here.

As organizations look to modernize and optimize processes, machine learning (ML) is an increasingly powerful tool to drive automation. Unlike basic, rule-based automation--which is typically used for standardized, predictable processes--ML can handle more complex processes and learn over time, leading to greater improvements in accuracy and efficiency. But a lot of companies are stuck in the pilot stage; they may have developed a few discrete use cases, but they struggle to apply ML more broadly or take advantage of its most advanced forms. A recent McKinsey Global Survey, for example, found that only about 15 percent of respondents have successfully scaled automation across multiple parts of the business. And only 36 percent of respondents said that ML algorithms had been deployed beyond the pilot stage.

If I could tell you how you could make your AI system do nearly ten times as much work on the same hardware, would that be worth something to you, eh…? So how can we make our AI ten times more efficient? Well, compression of data can help us store more in a fixed space, so let's start there. Popular compression technologies for digital media (think .mp3, There is information in the signal that can be isolated. If we just focus on the parts with the greatest information content, we can throw away the rest and get a vastly smaller file.

Thank you for your interest in my art. I am a digital artist who loves traveling and am constantly in awe of the beauty around us - natural, artificial, digital. Our beautiful planet has so much pain and suffering on it, but also so much beauty that we are unable to see from beneath the masks we wear everyday, figuratively and literally. As humans we are so fixed on the boundaries and limitations that society and we define, that we restrict our vision to the confines of those definitions. Through my collections, I am sharing my very first attempts at dissolving some such boundaries - those between human and digital, as I share some elements of natural beauty reimagined by the Artificial Intelligence of a machine.

Training academy WeThinkCode female developers excelled at a gender-based-violence (GBV) hackathon held in Sandton, creating a tech solution targeting perpetrators of violence against women. The software developers were part of a four-member group going by the moniker "Winning Team", which picked up the top prize of the R30 000 that was up for grabs. The Winning Team, comprising Mmathabo Pule (25), Daisy Mangue (21), Keitumetse Bokaba (29) and Lulamile Mkhungela (30), emerged winners from a pool of 60 participants. Pule and Mangue are developers from WeThinkCode, which is on a mission to recruit more females to take up software development training. The 10th hackathon hosted by Empire Partner Foundation (EPF) focused on how SA can use innovation and tech to address and combat GBV by targeting the root cause: the perpetrators.