Syntiant, an Irvine, California-based startup with big name backers like Intel and Microsoft, said its custom chips could be used to push Amazon's Alexa into smaller, battery-powered devices like wearables and wireless headphones that wake themselves up when they hear the voice assistant's wake word or other commands. Amazon just approved its deep learning accelerators for use with Alexa Voice Services (AVS). The company's NDP100 can be programmed to continuously listen for 64 wake words or specific sounds--like glass breaking or a baby crying--with power consumption in the range of 150 uW and more than 100 KB of SRAM. "These chips are purpose-built for keyword spotting such as wake words like Alexa, and now our processors can be used for quickly developing voice applications in battery-powered devices," chief executive Kurt Busch said in a statement. Syntiant, which was founded by former engineering executives from Broadcom, has raised over $30 million in funding from investors including Microsoft's M12, Amazon's Alexa Fund, Applied Ventures, Intel Capital, Motorola Ventures, and Robert Bosch Venture Capital.

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. In Nigeria, AI has the power to reduce election fraud, improve infrastructure design and provide greater government security for intelligence, military and foreign relations. It would create jobs and expand job growth as it is expected to become more deeply embedded in science, healthcare, global business and trade. AI will evolve with greater transparency to resolve trust issues and lack of understanding. AI has the ability to "learn" when information is acquired.

Burleigh County Sheriff's Department receives federal waiver to fly drones over people

Are you interested in using AI & ML and their Techniques to solve Nigeria's education, agriculture, healthcare and financial inclusion problems? Artificial Intelligence is expected to transform various industries just as Electricity did over 10 Decades ago and global consulting firm, McKinsey has stated that non-internet sectors like Agriculture, Education, Energy, Logistics & Manufacturing will see a $13 Trillion GDP growth driven by AIby 2030. For this reason, The Rise Labs by Rise Networks, Nigeria's first AI powered Learning, Research and Work Readiness Centre based in Lagos, Nigeria's commercial capital in partnership with Business Day and other Key Private Sector Stakeholders has launched the Nation's first Artificial Intelligence Ideathon by calling for revolutionary ideas that have the potential of solving Nigeria's Education, Agriculture, Healthcare and financial inclusion problems using Artificial Intelligence and Machine Learning models and methodologies. Winners of the Ideathon will get the rare opportunity of a veritable springboard to showcase and share their AI and ML models and applications to a broad community of stakeholders especially Policy Makers, Technology Experts and Organizations, Leaders in the Private Sector and Venture Capitalists to facilitate the scaling and execution of their ideas. To submit an entry, complete the registration form and submit your idea for using Artificial Intelligence and/or Machine Learning ("AI" and/or "ML") to transform education, agriculture, healthcare and financial inclusion in Nigeria.

From improved medical applications to self-driving cars and smart cities, AI has the potential to transform our digital, physical, and social environments in unprecedented ways and at an unprecedented speed. However, the same technologies can be used for mass surveillance, computational propaganda, and biased, discriminating decision-making. It is generally believed that increasing the diversity of the workforce developing AI systems will reduce the risk that they generate discriminatory and unfair outcomes, thus ensuring that their benefits are more widely shared. But how diverse is the workforce of the AI sector? We conducted a large-scale analysis of gender diversity in AI research using publications from arXiv, a widely-used preprints repository where we have identified AI papers through an expanded keyword analysis and predicted author gender using a name-to-gender inference service.

One of the most troubling trend narratives on the rise today is that of the direction intersection of tech algorithms and machine learning with that of housing and credit checks. Whether we use our residences as a much-needed retreat after work or that which is leveraged for both home and work, this area is critical because it provides our very foundation, literally and figuratively. Concerns around housing, whether redlining or other barriers, have always been issues in this country, however the volume on the topic is growing because we are relying more and more emerging technology such as artificial intelligence to make very final decisions on crucial life plays. Such usage is important to examine because technology never exists in vacuum. Tech intersects with cultural trends, various business agendas, subconscious and conscious cultural bias, therefore, it can and is taking harmful shape across a growing number of demographics.

Reductions in patient length of stay have been shown to reduce costs and improve outcomes. There are a number of ways for hospitals and health systems to reduce length of stay, the majority of which are time-intensive and center on restructuring existing operations. To help bolster and streamline efforts to reduce length of stay, systems such as New York City-based NewYork-Presbyterian have turned to artificial intelligence technology from Qventus to automate care coordination, which not only improves efficiency but also eases the administrative burden on hospital staff. During an Aug. 6 webinar hosted by Becker's Hospital Review and sponsored by Qventus, Courtney Vose, DNP, MBA, RN, APRN, NEA-BC, vice president and chief nursing officer of NewYork-Presbyterian, and Ryan Starks, MBA, senior product marketing manager at Qventus, discussed how NewYork-Presbyterian deployed the Qventus platform and the three most important lessons the health system learned in the process. Systems like Qventus' may be high-tech, but traditional leadership roles are still necessary in order to glean the most benefit from these platforms and drive actual change, according to Mr. Starks.

Las Vegas – Jan. 08, 2019 – NXP Semiconductors N.V. (NASDAQ: NXPI), a technology and market leader in next-generation automotive technologies, today announced a new strategic partnership with Kalray (Euronext Growth Paris – ALKAL), a pioneer in processors for new intelligent systems. The partnership will combine NXP's scalable portfolio of functional safety products for ADAS and Central Compute with Kalray's high-performance intelligent MPPA (Massively Parallel Processor Array) processors. The new platform is significant because it addresses the performance, safety and near-term commercial needs of levels 2 and 3 driving with an eye to longer-term release in level 4 and 5 autonomous vehicles. The collaboration also aims to take on the safety shortcomings of today's pilots and experimental offerings in the autonomous development space. The autonomous driving ecosystem faces technology challenges and concerns related to the safety of self-driving vehicles.

Artificial intelligence may replace some people on Wall Street, but the technology is simultaneously creating new jobs. The U.S. financial industry saw job postings seeking people with big data skills increase by almost 60% over the past year, reports Bloomberg. Job seekers with experience in AI, machine learning and data science are the sector's most in-demand candidates. Goldman Sachs is planning to beef up its trading unit, for example, but it's only hiring coders.

Knee replacement surgery, also known as knee arthroplasty, can be lifestyles-altering for lots people who suffer from osteoarthritis and different knee troubles. This procedure can remove pain and repair mobility, allowing patients to renew an energetic lifestyle. Arthroplasty may either be done in conventional way, wherein the surgeon seats the implant manually, or with the help of a robot arm controlled by means of the surgeon. Standard knee replacement uses X-ray images and relies on the surgeon's visual assessment of the knee and direct manual surgery. The robotic knee procedure involves CT scanning, which allows the surgeon to build a virtual model of the patient's knee and make a preoperative plan.