One True Holding Company d/b/a/ TrueML, a financial technology software company developing machine learning-driven products that enable intelligent, digital communication in the financial services space, today announced that Thomas Overton will join as Chief Technology Officer. TrueML develops software using patented machine learning technology to create a digital-first process that aligns with consumer communication preferences. As a mission-driven company, TrueML aims to bring solutions to the marketplace that redefine how creditors and consumers engage in debt collection. TrueML's mission is supported by data scientists, financial services industry experts and customer experience enthusiasts collectively building technology to serve people in a digital-first way by recognizing their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system. "I am excited to join an organization driven to change the way an ages-old industry functions through digital innovation," said Overton.

A "Festival of Robotics" conjured images of dancing androids and canape-serving cyborgs, or at least one of those Boston Dynamics monstrosities that resembles a fleshless Terminator but moves like a gymnast. Held on a wet day at BT's Adastral Park R&D facility, it did feature one of Boston Dynamics' mechanized dogs, which performed some lively robot dressage before it scampered off at pitbull speed, presumably on a kill mission. But there was not much festival atmosphere. "The rain has had a squashing impact on our ability to have a beer tent and open summer garden, but we will have dancing and other exciting things such as robot wars," said a spokesperson at a mid-morning presentation. Perhaps the robots came out to dance and fight in the evening, long after reporters had departed.

Developers should not have to set hyperparameters manually or implement their custom model code unless truly necessary, as it accounts for just a tiny fraction of the project life cycle, and differences are usually tiny.

Stanford Computer scientist Christopher Re discussed the changing software paradigm, Software 2.0. He told the University's Human-Centered AI group that focusing on neural network-building, and other low-level tasks such as tweaking hyper-parameters, is not really where engineers can make their most valuable efforts. Some AI researchers' practices are as tired as a Michael Bay movie, to hear Christopher Re tell it. Wednesday, Re, who is a Stanford University associate professor of computer science, gave a talk for the University's Human-Centered Artificial Intelligence institute. His topic: "Weird new things are happening in software."

Artificial intelligence and machine learning will automate many business and life tasks, from driving trucks to piloting ships to handling customer calls -- and actually carrying on rudimentary chats with them. What's not discussed often enough, however, is the actually impact on the jobs of AI creators and administrators themselves -- developers, analysts, and data administrators and everyone else in the information technology orbit charged with building out these revolutionary systems. In essence, AI will play a role in helping to smooth out the rough spots of AI development. IT and data professionals have much to gain from the AI revolution. I recently had the chance to explore some of the possibilities with leading industry observers, who see the roles of IT managers and professionals being elevated to greater business responsibilities as a result of being relieved much of the grunt work of AI.

Apple's efforts towards AI have always been focused on Siri and its advancements. But lately, people have noticed that Apple is rather quiet about any future products or services as there was no mention from Apple about AI or Machine Learning at WWDC 2019. Is the company focusing on AI as much as it was previously? And are we going to see any more AI technology launched in the coming years? These are the questions many analysts and Apple lovers are pondering on these days.

Apple has struggled in recent years to establish a robust artificial intelligence (A.I.) practice. This partially stems from the company's ironclad privacy policies--it's more difficult to analyze datasets for insights when internal rules prevent the company from using every piece of user data it can vacuum up. Nonetheless, Apple's newest projects show that it's powering ahead anyway--including one platform that, if it's ever released, could change how you use A.I. and machine learning (ML). It seems unlikely that Apple's stance on data and privacy will change during Cook's tenure.) How does Overton go about this herculean task?

Most artificial intelligence is generated from machine learning. This is a process that allows a computer to use software and a database of prior instances to learn what to do next. Most of the large cap tech companies are continuing to develop new products that are based on AI. The newest to the crew is Overton which is an Apple AI product. Apple's Overton framework is designed to automate AI system training. Overton is designed to automate the training of AI systems.

With Siri set to see significant improvements once iOS 13 ships, Apple is appearing at a key voice AI tradeshow and has published a study explaining some of the details of a first-of-its-kind machine learning (ML) tech it calls "Overton." This week, Apple is sponsoring the world's largest spoken language processing conference, Interspeech 2019. As part of its work at the event, it has submitted multiple research papers – and members of its growing machine learning teams will meet attendees there. Among other topics (see them all here), Apple will present papers on detecting expression/intent through voice, improving voice recognition, developing more accurate tools to understand speech nuances, using mirroring to build relationships between human users and speech assistants and using tech to optimize speech enhancement. We may learn a little more about what the company is up to in ML at the all-new Interspeech Youtube portal, though we don't know if any Apple video will appear there.

Today, Apple has given details about its Overton development tool, which helps machine learning and monitoring apps such as Siri determine query results, thereby allowing engineers to focus on higher concepts as the system helps with low-level tasks. The'Overton' framework is the creation of Apple engineers, designed to automate AI system training via high-level abstracts given by the developers. The Cupertino-based firm intends to use Overton to limit work by engineers and act as an engine that automates monitoring elements and chores. Engineers have created Overton to interact without needing any code. Instead, the system reads from data payloads via input for AI model training and model tasks that tell Overton what to do.