2017 Watson <span style='color:red'>AI XPrize</span> Top 10 Revealed at NIPS
Trade news

2017 Watson AI XPrize Top 10 Revealed at NIPS

　　The $5 million IBM AI Watson XPrize is revealing the top 10 finalists for the 2017 round and awarding a total of $15,000 in prize money to the top two finishers today (Dec. 8) at the Neural Information Processing Systems conference (NIPS 2017; Long Beach, Calif.). Amiko AI (Milan), which is upgrading respiratory care with sensor technologies and digital health tools, has come in first and is being awarded the $10,000 top prize for this year. The $5,000 second-place prize goes to aifred Health (Montreal), which is using deep-learning algorithms to personalize treatments for depression. The two top finishers also were scheduled to present detailed descriptions of their projects on stage at the event.　　“The 32 judges — who are all independent of IBM, as am I — narrowed the 147 first-year contestants down to 59 second-year contestants [based on] who has made the most progress on the most helpful-to-world-society projects,” Amir Banifatemi, prize lead for the IBM Watson AI XPrize and managing partner of K5 Ventures, told EE Times in advance of the announcement at NIPS.　　Here are the other top 10 finishers, in alphabetical order:BehAIvior (Pittsburgh) is combining data from wearables and smartphones to create an early-warning system that predicts addiction relapses — especially overdoses — with the intent of preventing them.Brown University's Human Centered Robotics Initiative (HRCI; Providence, R.I.) is creating a three-phase program to identify the social and moral norms that robots should be designed to internalize.DataKind (New York) is developing artificial-intelligence models using high-resolution satellite imagery that can help alleviate poverty in underdeveloped regions by monitoring crops for disease while they can still be saved.Deep Drug (Baton Rouge, La.) is working on AI drug design software that learns from both the successes and the failures of previous clinical trials to shorten the development time for new, more-targeted drugs.The EmPrize team at the Georgia Institute of Technology’s Design & Intelligence Lab (Atlanta) is aiming for smart virtual tutors that will answer questions, provide feedback, and perform other functions for online education.EruditeAI (Montreal) is creating a free peer-to-peer math tutoring platform to match students who are struggling to understand a given mathematical concept with students who have demonstrated proficiency in that concept.Iris.ai (Oslo, Norway) is automating a systematic mapping solution for scientific papers that will help AI researchers with the literature discovery phase of their projects.WikiNet (Quebec City) is working on a solution that learns from past environmental-cleanup efforts to provide expert recommendations for cleaning up other contaminated sites.　　The 59 teams selected to move forward from 2017 to 2018 come from Australia, Barbados, Canada, China, France, Germany, India, Israel, Italy, Norway, Poland, the United Kingdom, the United States, and Vietnam. The categories their projects cover include Health & Wellness, Learning & Human Potential, Civil Society, Space & New Frontiers, Shelter & Infrastructure, and Energy & Resources. The criteria used to assess the projects include the standards they intend to set; the performance and scalability of their application; and, most important, their potential to achieve an exponential societal improvement. “The judges this year recognized those teams that have emphasized man-machine collaboration and are furthest along in their projects,” said Banifatemi.　　In a nod to the rapid pace of breakthroughs in AI, the AI XPrize added a wild-card round this past fall to accommodate teams working on concepts that were not foreseen in the competition’s first year. The top 10 finishers among the wild-card teams that applied for inclusion this year will inflate the total field of contenders to 69 in 2018. A second wild-card round will be held next year. In an interview with EE Times when the first wild-card round opened, Banifatemi said that, based on how many wild cards are approved to compete this year and next, “we expect to have half of the total teams in competition by September 2018 moving into 2019.” No wild cards will be added in 2019, and at the end of that year the field will be halved again.　　Further prize money will be awarded to the top 10 finishers in 2018 and 2019, with the three top-10 rounds (2017-2019) collectively accounting for $500,000 of the $5 million total allotted for the XPrize. In 2020, at the Grand Prize event on the TED2020 stage, the remaining $4.5 million will be awarded to the top three finalists: $3 million to the first-place finisher, $1 million for second place, and $500,000 for third place. The third-prize winner will be selected with the help of voters at TED2020.
Key word：
Release time：2017-12-11 00:00 reading：1157 Continue reading>>
IBM Watson <span style='color:red'>AI XPrize</span> Adds Wild-Card Round
Trade news

IBM Watson AI XPrize Adds Wild-Card Round

　　The $5 million IBM Watson AI XPrizecompetition, which kicked off last year and will end in 2020, was the first of the XPrize contests (14 since 1995) to have a contestant-defined “open” goal rather than a predetermined objective. Now it is also the first XPrize to add a wild card, giving new contestants until Dec. 1 to join the 147 teams that made the first-year cut.　　“The total number of teams officially registered stands at 147, out of the total of 870 team submissions that were recorded from more than 9,000 initial interested requests,” Amir Banifatemi, prize lead for the IBM Watson AI XPrize, told EE Times. “Given the rapid pace of artificial-intelligence breakthroughs and the possibilities that AI opens to solve grand challenges, we wanted to ensure that teams with new ideas still had the opportunity to participate.”　　The original teams still in the competition hail from 22 countries in total: Australia, Barbados, Canada, China, the Czech Republic, Ecuador, France, Germany, Hungary, India, Israel, Italy, Japan, the Netherlands, Norway, Poland, Romania, Spain, Switzerland, the United Kingdom, the United States, and Vietnam. Their projects are being evaluated not only for their efficacy in addressing AI challenges but also for their potential social, ethical, and technological impact. Imbuing AI with the ability to understand human emotional cues, for example, could have implications beyond the AI’s cognitive-computing capabilities.　　The IBM Watson AI XPrize is also the first XPrize to leave the goal open to the contestants’ discretion, and as a result the teams have proposed ideas for solving problems across a wide swath of disciplines. “Energy Efficiency” projects would reduce greenhouses gases and makes landfills smart at separating recyclables. “Health and Wellness” investigations look to head off mental health problems, diagnose an infant’s crying, and improve sleep. “Learning and Human Potential” projects aim to reinvent computer coding, personalized learning, peer-to-peer tutoring, and scalable learning to achieve universal worldwide literacy. Proposals for “Improving Society” would automatically flag “fake news” in social media and get legal information to victims at little cost. “Shelter and Infrastructure” projects aim to meld social development with satellite imagery, predict disasters, manage traffic flows in cities, and assess the structural health of buildings. “Space and New Frontiers” explorations seek to develop neurologically inspired models and automatically propose hypotheses.　　“We have been impressed with the level of variety and domain focus so far. Teams are very diverse, [hailing from] startups, academia, large corporations, nonprofits, and more,” Banifatemi said. Among the “impressive” entries, he said, are AI applications to “detect crop disease in Ethiopia, detect illegal mining in Congo, model malaria-prone regions in India, predict psychiatric medicine effectiveness, automate project management at scale, [advance] triage emergency medicine, and monitor the structural health of buildings.”　　The addition of the wild-card teams aims to widen the application domains even further, but the expanded pool will still be subject to the same annual culling process. “Each year, up to 50% of teams will move to the next round provided they reach their milestones and are selected by judges to move forward,” Banifatemi said. “Based on how many wild cards are approved to compete, we expect to have half of the total teams in competition by September 2018 moving into 2019.”　　The judges also will be picking out favorites over the course of the multiyear competition, distributing $500,000 in total to teams for meeting their stated milestones with outstanding performance. The milestone awards will be made at the judges’ discretion rather than follow a strict policy. The finalists in 2020 will receive $3 million for first place, $1 million for second place, and $500,000 for third place at the Grand Prize event on the TED2020 stage. The conference attendees, including the online audience, will have a say in determining the final placement of the three winners.　　Banifatemi described the awards system in detail: “We will have 10 teams eligible for the milestone prizes each year, and the top three will receive cash prizes based on the judges’ assessment. The milestone prizes in 2017, 2018, and 2019 are part of the prize purse that IBM has committed to. By the final round, in 2020, three teams will have been selected from the 10 milestone prize candidates in 2019. The judges will have already approved the top three, and the public will weigh in on the final scoring. The judges score’ and the public score will be taken into account for selecting the first-, second-, and third-place winners."　　The next major event, in December, will be the announcement of which of the currently registered teams (roughly half of the current total) will move on to the next phase. In January, the judges will announce which of the wild-card teams will be added to the roster. In January 2019, the field will be halved again, with survival dependent on the standards proposed and on the AI’s performance, scalability, and — most of all ??— likely worldwide impact.
Key word：
Release time：2017-10-19 00:00 reading：1236 Continue reading>>

Turn to

/ 1

Popular categories
Semiconductors Circuit Protection Electromechanical Embedded Solutions Connectors, Interconnects Sensors, Transducers Optoelectronics Development Kits Test and Measurement Power Fans, Thermal Management Boxes, Enclosures, Racks Cables, Wires Passive Components Others
  • Week of hot material
  • Material in short supply seckilling
model brand Quote
CDZVT2R20B ROHM Semiconductor
TL431ACLPR Texas Instruments
MC33074DR2G onsemi
RB751G-40T2R ROHM Semiconductor
BD71847AMWV-E2 ROHM Semiconductor
model brand To snap up
ESR03EZPJ151 ROHM Semiconductor
BU33JA2MNVX-CTL ROHM Semiconductor
BP3621 ROHM Semiconductor
TPS63050YFFR Texas Instruments
IPZ40N04S5L4R8ATMA1 Infineon Technologies
STM32F429IGT6 STMicroelectronics
Hot labels
ROHM
IC
Averlogic
Intel
Samsung
IoT
AI
Sensor
Chip
Original authorized brand
More Licensed Brands>>
Information leaderboard
  • Week of ranking
  • Month ranking

About us

Qr code of ameya360 official account

Identify TWO-DIMENSIONAL code, you can pay attention to

AMEYA360 mall (www.ameya360.com) was launched in 2011. Now there are more than 3,500 high-quality suppliers, including 6 million product model data, and more than 1 million component stocks for purchase. Products cover MCU+ memory + power chip +IGBT+MOS tube + op amp + RF Bluetooth + sensor + resistor capacitance inductor + connector and other fields. main business of platform covers spot sales of electronic components, BOM distribution and product supporting materials, providing one-stop purchasing and sales services for our customers.

Please enter the verification code in the image below：

verification code