Facebook, Twitter, Google, Apple, Microsoft. The big names in technology are those with globally renowned AI departments and leading the way in deep learning. These companies, although varying in age, all started somewhere, so what does it take for startups to catapult themselves to international success?

The technology industry is oversaturated with startups fighting to be heard and secure the all important funding, but it can be hard to break away from the noise and stand out from the crowd. When these companies do succeed however, the potential for growth is huge. This January 25 & 26 at the Deep Learning Summit in San Francisco, NVIDIA Inception will be taking over the Startup Session where we will hear from leading companies advancing AI and DL in their businesses. Each startup will present their most cutting edge and recent work and attendees will be given the opportunity to participate in a Q&A with the speakers.

The session will kick off with a Nathan Wheeler, Founder of Entropix, who have developed a hardware-enabled software technology that allows you to capture ‘extreme ultra high definition video content at 8K with an inexpensive camera built from conventional components.’ Entropix patented technology reconstructs video to 9x it’s captured pixel density while dramatically reducing the bandwidth and storage requirements to only the parts that matter. In his presentation, Nathan will discuss how he is currently employing deep learning to reverse the resolution-degrading effects of the conventional videos that we capture on our devices currently.

Next up we will hear from Yousuke Okada, founder and CEO/CTO of ABEJA who will speak about business applications of AI technology as a business solution. ABEJA have have created its own success AI approach featuring all functions needed by implementation: Data Collection, Model Deployment & Training, Model Management, GPU Edge Device Management and many more. This method is already in use by 100 companies such as Manufacture (preventive malfunction, visual inspection, auto picking), Retail (VMD optimization, measure the effect of marketing), Logistics (auto picking, delivery optimization) and etc, with over 450 case studies.

AI speech products, although incredibly complex, are making their mark in both business solutions and in personal devices. Deepgram are working to perfect both speech transcription and understanding to help deploy AI speech products in business. As these businesses are seeing the results of and cashing in on the promise of big data, these new waves of tech have so many more opportunities to offer in the way of optimisation, cutting costs and improving efficiency. Deepgram’s service is now free for anyone to upload their audio content and receive searchable text in return, and Scott Stephenson Deepgram's CEO and Co-Founder will share their latest research.

With the increase in usage of big data and as more companies begin to adopt AI, as does the risk of cyber attacks increase accordingly. Eli David, CEO of Deep Instinct will present at the summit and discuss end-to-end DL for detection, prevention and classification of cyber attacks. There are now more than a million new malicious files created every single day which makes it extremely difficult for currently existing malware detection methods to identify most of these new sophisticated attacks. To overcome this, Deep Instinct are training it’s model on hundreds of millions of files to provide the highest detection and prevention rates in the cybersecurity industry today.

If you’re interested in learning more from these startups, join us next month in San Francisco to hear about the latest cutting edge progressions in AI and DL. Today is the final day to save 25% on all summits in 2018, so register now to guarantee your place.