After a couple of troublesome years, many businesses are looking forward to 2022 with cautious optimism. The worldwide global pandemic has accelerated the digital ambitions of many enterprises, creating a fertile ground for the development of AI and related technologies. Ahead of RE•WORK's upcoming Deep Learning Hybrid Summit on February 17-18, we asked some of our expert community what they predict for AI and Deep Learning in 2022. Which trend associated with Deep Learning and AI are you most interested in/passionate about? Why do you think this is so relevant today?

Recent developments in AI and deep learning have the potential to transform the way that banks and financial services firms do business, including but not limited to customer service, portfolio management, and fraud detection. But will 2022 be the year that advanced AI and machine learning techniques take off in the world of financial services? As we approach RE•WORK's upcoming London AI Finance Summit on 17-18 March, we asked some of our expert speakers what they predict for AI and deep learning in Finance, Insurance and RegTech in the coming year. Question: Which trend associated with deep learning and AI are you most interested in or passionate about? Why do you think this is so relevant today?

On this episode of the eeDesignIt Podcast, we're joined by Dhonam Pemba to explore artificial intelligence (AI) and his new company KidX AI. Dhonam is a neural engineer by PhD, a former rocket scientist and a serial AI entrepreneur. He was CTO of the exited company, Kadho which was acquired by Roybi for its Voice AI technology. At Kadho Sports he was their Chief Scientist which had clients in MLB, USA Volleyball, NFL, NHL, NBA, and NCAA. His latest company, KidX, is in the AI edtech space, where he has built NLP and Voice assessment to serve China's leading robotics company with 4M users.

Fiction is full of robots with feelings. Like that emotional kid David, played by Haley Joel Osment, in the movie A.I. Or WALL•E, who obviously had feelings for EVE-uh. Robby the Robot sounded pretty emotional whenever warning Will Robinson of danger. Not to mention all those emotional train-wreck, wackadoodle robots on Westworld. But in real life robots have no more feelings than a rock submerged in novocaine.

Organizations are turning to machine learning (ML) and artificial intelligence (AI) as a path to innovation and product and service differentiation, but too many organizations are stalled at the proof-of-concept stage. Register to attend and you'll learn: Join us on Feb 28 11 AM PT/2 PM ET to learn how to take a more industrialized and automated approach to developing and deploying ML and DL models across your enterprise.

Artificial Intelligence needs a strong and reliable computational back-end to perform. Today's most extended IT systems provide just enough process power to make it work in its most basic state: AI is limited to specialized machine learning algorithms, capable of performing specific tasks in an automated way. However, and after the release of new quantum developments, qubits are ready to take over the old and modest bits, and along the way, to bringing AI to a new life level. Quantum computers, instead, upgrades the model as they are able to use qubits within the binary system. These qubits provide an amplified process power to any given task, making computational more effective and fast.

This is an edited version of The Rise of the Conscious Machines in issue 301 of BBC Focus magazine - for the latest science news, discoveries and innovations delivered to your door subscribe here. Killer robots are a staple of science fiction, but a recent letter by a group of more than 100 robotics experts, including founder of SpaceX Elon Musk, has warned the United Nations about the threat posed by lethal autonomous weapons, and requests that the use of artificial intelligence (AI) as a way to manage weaponry be added to the list of weapons banned by the UN Convention on Certain Conventional Weapons. So why is now, when AI is being used for so much good, that they are so concerned about the threat it poses? To answer that we need to understand how we have arrived at where we are today and the rise of the conscience machines. Back in the summer of 1956, the fathers of artificial intelligence (AI) gathered at Dartmouth College, New Hampshire, to christen the new science and set its goals.