Elon Musk claims his Neuralink, a brain-interface technology company, is less than a year away from implanting chips into human brains. The news comes from the billionaire himself during a live-streamed interview with The Wall Street Journal CEO Council Summit on Monday, when asked about plans for the company in 2022. 'Neuralink's working well in monkeys and we're actually doing just a lot of testing and just confirming that it's very safe and reliable and the Neuralink device can be removed safely,' Musk said. 'We hope to have this in our first humans -- which will be people that have severe spinal cord injuries like tetraplegics, quadriplegics -- next year, pending FDA approval. 'I think we have a chance of being able to allow someone who cannot walk or use their arms be able to walk again – but not naturally.'

Brainnwave, founded in 2014, provides an augmented business intelligence platform that leverages advanced machine learning and statistical models to transform data. Now, the Edinburgh-based company has teamed up with a company nearly 60 years its senior: Hatch, which delivers engineering, construction, and consulting solutions for industries spanning mining, metallurgy, energy, and infrastructure. The new co-venture will combine Brainnwave's AI-powered analytics with Hatch's sector knowledge to deliver improved solutions for those industries. At the launch of the co-venture, Hatch announced a Series A investment in Brainnwave, not disclosing the amount of the investment. "This partnership made sense because both organizations are like-minded in their entrepreneurial approach, willingness to do things differently and challenge the status quo, and propensity to develop game-changing solutions," said Steve Coates, CEO and co-founder of Brainnwave.

Often considered a'solution for everything', AI will expand its impact as the video entertainment industry realises its benefits to a variety of applications, according to a report commissioned by mobile and video technology developer InterDigital and written by market research firm Futuresource Consulting, which examines the industry influence of artificial intelligence (AI) and machine learning (ML) on applications across the video supply chain. The report, AI and Machine Learning in the Video Industry: New Opportunities for the Entertainment Sector, investigates the emerging uses of AI across segments of the media industry and highlights key examples of how AI is employed today and might develop in the future. Valued at roughly $84 billion, the global video entertainment industry is fuelled by a five-stage supply chain comprised of media creation, preparation, distribution, playout and delivery, and consumption. AI can be incorporated within several applications across the ecosystem, from encoding to transmission to decoding to post-processing. With a wide variety of applications, including auto tagging metadata, creating transcripts, conducting quality control, flagging inappropriate content, or even service personalization, AI's strength is extracting patterns from'big data' where traditional algorithms might fail.

Combine data from EMR's, observational notes, claims and other databases at the patient level for analysis. Deliver advanced analysis of real world and clinical data to discover new research opportunities, run clinical trial simulations, perform endpoint (e.g.

As we enter 2022, CIOs and other IT leaders are predicting more of the same issues: a tech talent shortage that will stress organizations still working on modernization efforts and increased use of artificial intelligence and analytics, and enhancing security, among other innovative technologies. Among its predictions for 2022, Forrester believes "a tech talent panic will create broad gaps until new sourcing models go mainstream." IT organizations face a 13.8% attrition rate, reflecting a slow move to "future fit" talent strategies, according to Forrester. "The demand for technology talent maintains a frenetic pace with an emphasis on data and analytics, information security, architecture, cloud and engineering," said Craig Stephenson, managing director, North America Technology Officers Practice, at Korn-Ferry. Here's how they plan to cope.

Money can't buy you happiness (although you can reportedly lease it for a while). It definitely cannot buy you love. And the rumor is money also cannot buy you large troves of labeled data that are ready to be plugged into your particular AI use case, much to the chagrin of former Apple product manager Ivan Lee. "I spent hundreds of millions of dollars at Apple gathering labeled data," Lee said. "And even with its resources, we were still using spreadsheets."

Artificial intelligence emerged with the question of whether machines can think like humans. Artificial intelligence is one of the hottest fields of study today. Machine learning is the science of extracting information from data and is a subfield of artificial intelligence. Many problems that could not be solved with classical statistical methods could be solved with machine learning algorithms. In this post, I will talk about 8 basic machine learning algorithm families.

"Operator TV is an open platform to give Pay TV Operators all of the features they need to make Smart TV their domain and have an alternative to set-top boxes to control the experience on the most important screen of the home," said Marco Frattolin, Head of Operator Products at Vewd. "We're pleased that Intertrust ExpressPlay has become an Operator TV partner, enabling Pay TV Operators to select a leading broadcast and IP content security solution. Together, we can help Pay TV operators own the Smart TV." ExpressPlay XCA is a key component of the ExpressPlay Media Security Suite, which also includes a cloud-based and studio trusted multi-DRM service, comprehensive anti-piracy services, and an offline multi-DRM platform.

With classic rock tunes playing, Adam Selipsky took the stage for his first re:Invent keynote as the new CEO of AWS, the $60-billion cloud juggernaut that was founded just 15 years ago. This was the first re:Invent without Andy Jassy, the charismatic leader who creatively used rock lyrics to tell product stories at past shows. The rock was still there, and product announcements abounded, but it's clear Selipsky is charting his own path forward as the head of AWS. Selipsky was one of Jassy's top lieutenants before he left five years ago to head up another Seattle, Washington-area mainstay in the big data world, Tableau Software, so he's very familiar with the company he's now charged with growing. From his perspective, the growth of cloud computing over the years has been astounding.

The loss function in supervised deep learning is a key element for training AI algorithms. For models aiming at predicting asset returns, not all prediction errors are equal in terms of impact on the efficiency of the algorithm. Indeed, some errors result in poor investment decisions while other errors have no financial consequences. This is critical for the choice of the performance metric to assess the ability of machine learning algorithms to predict returns. This should also impact the choice for the most efficient loss function.