The approach is based on two popular AI techniques: generative adversarial networks and reinforcement learning. The news: A team from AI pharma startup Insilico Medicine, working with researchers at the University of Toronto, took 21 days to create 30,000 designs for molecules that target a protein linked with fibrosis (tissue scarring). They synthesized six of these molecules in the lab and then tested two in cells; the most promising one was tested in mice. The researchers concluded it was potent against the protein and showed "drug-like" qualities. All in all, the process took just 46 days.

Until leaders can get serious about their own development as managers, the skills gaps throughout their organizations will only continue to grow. Companies are struggling with a critical problem -- finding managers with the right skills to lead their organizations. This problem not only has damaging downstream effects for businesses, but it's also hurting the global economy. An analysis by job market analytics company Burning Glass Technologies found that management skills "represent one of the biggest skills gaps in the job market" and that managers have larger skills gaps than the people they manage. The Bank of England's chief economist has argued that poor management is the principal cause of the U.K.'s stagnant productivity.

Picovoice, a Canadian company, wants to put a voice assistant that promises cloud-level accuracy onto all manner of edge devices, and even within a web browser. There are three components in the process -- a wake word, speech-to-text translation, and speech-to-intent. Picovoice previously rolled out Porcupine for wake word detection and Rhino to handle speech-to-intent, but it's now added Cheetah speech-to-text translation to complete the trio. All are available via GitHub. The stack operates in real time on-device, without an internet connection, and promises extremely low resource requirements.

Will Thompson is Managing Director of Forbes Insights, the research and technology analyst practice of Forbes Media, and the Publisher of Forbes AI, a new magazine dedicated to the business and technology of artificial intelligence and machine learning. An expert in the ways technology is transforming business strategy, Mr. Thompson came to Forbes from the Economist Intelligence Unit where he helped advise Global 2000 corporations and venture-backed start-ups on using research to position themselves as thought leaders. Prior to joining the Economist, he served as CEO of a boutique hedge fund communications consulting firm and launched two niche publications. A classically trained operatic singer, Will has a degree in music and a masters of business administration, both from the University of Miami in Coral Gables, Florida.

Connect, download a free E-Book, watch a keynote, or browse my blog. All around the world the trade in art, both man made and machine made art, is booming, with even art made by new Artificial Intelligence (AI) programs getting in on the act after a painting by one sold for over $430,000 recently at Christies, but detecting art forgeries is still as hard and expensive as ever. At the moment, for example, art historians might bring suspect work into a lab for infrared spectroscopy, radiometric dating, gas chromatography, or a combination of tests. But now a new AI does away with all that and it can spot fakes just by looking at the strokes used to compose a piece. In a new paper, researchers from Rutgers University and the Atelier for Restoration & Research of Paintings in the Netherlands document how their AI system broke down almost 300 line drawings by Picasso, Matisse, Modigliani, and other famous artists into 80,000 individual strokes.

File photo - U.S. Army soldiers take part in a U.S.-South Korea joint live-fire military exercise at a training field in Pocheon, south of the demilitarized zone separating the two Koreas, March 25, 2015. The age is fast emerging wherein forward-operating soldier sensors, weapons and networking technologies will all rely upon secure computing to perform most advanced combat tasks. While many elements of this scenario already exist in various forms, technology is progressing quickly to the point where virtually all combat systems will be cyber-reliant. Soldier-worn computers will instantly connect target information, drone feeds and enemy tracking data - among other things. Computers and sensors are already being woven into soldier uniforms and being ergonomically engineered to accompany forces in battle for this specific purpose.

Football is back and fans across the country are sporting their favorite player jerseys and cheering on their top teams. There are a number of ways to get ready for kick-off--prepping the delicious tailgate food and upgrading to a big-screen TV to name a few--but did you know that your Amazon Echo can help you do even more to celebrate the return of football season? Whether you have the ever-popular Echo Dot or the screen-enabled Echo Show, there are plenty of ways that the Alexa-enabled speakers can help you out this season. Planning a watch party and need to find out when the game is on? Or maybe you want to check the latest stats on your hometown team?

Walmart has a tech incubator called Store No. 8 in Silicon Valley to "incubate, invest in, and work with other startups, venture capitalists and academics to develop its own proprietary robotics, virtual and augmented reality, machine learning and artificial intelligence technology."

A novel system developed by MIT researchers automatically'learns' how to schedule data-processing operations across thousands of servers. MIT system'learns' how to optimally allocate workloads across thousands of servers to cut costs, save energy. A novel system developed by MIT researchers automatically'learns' how to schedule data-processing operations across thousands of servers -- a task traditionally reserved for imprecise, human-designed algorithms. Doing so could help today's power-hungry data centres run far more efficiently. Data centres can contain tens of thousands of servers, which constantly run data-processing tasks from developers and users.

Emerging technologies such as big data and AI can be daunting for the small business owner, but there's also significant pressure to stay ahead of the curve. Small businesses are always competing to keep costs and overheads low, as they're less able to sustain themselves through the lean times. However, McKinsey research has shown that implementing big data strategies can significantly impact the bottom line. For example, a retailer could increase operating margins up to 60 percent. Implementing big data and AI platforms doesn't need to involve hiring teams of data scientists or analysts.